It’s been a while since you’ve seen an issue of Blueberri Pi land in your inbox, and I want to own that instead of pretending it didn’t happen. I gave myself a summer reset. Actual rest, actual recovery, the kind where I stayed off my laptop more than I stayed on it. What I didn’t do was stop paying attention. I was still reading, still watching what was shifting under the surface of search and content and AI, just not writing about it in real time.

If you’re new here, welcome. Blueberri Pi is where I write about the systems, people, and platforms shaping how content actually works, not just this week’s algorithm update. If you want the fuller picture of what this newsletter is trying to do, I put together a Start Here post that gives you an overview of what

I’m back with a story that landed right in the middle of my break, one that felt too relevant to Blueberri Pi to let pass quietly. It involves Google, recipes, and an experiment that says more about where this is all headed than most of the AI headlines I’ve read this year.

Meet Riley

Riley bought the peaches twice.

The first batch looked perfect at the farmers market, and then they weren’t. Too soft, and by the time she’d tested the filling, photographed the finished cobbler, cleaned the kitchen, and pulled the images up on her laptop, she already knew she’d be doing it all again. So she bought more peaches, adjusted the cornstarch, changed the baking time, and shot it a second time. Then came the actual writing. She wrrote the ingredients, instructions, timing, substitutions, storage tips, the FAQ section nobody reads until they need it, alt text, metadata, and schema. She edited the photos, uploaded everything, formatted the post, and hit publish.

That was four years ago.

Last week, I was surprised to see that Google tested AI-generated images inside AI Overviews for recipe searches. There were no links to a creator’s step-by-step photography. AI-generated images showing the cooking process, built without a kitchen, a camera, or a Riley anywhere in sight. I didn’t even know an experiment had begun, to be honest.

And in the same stealth fashion, Google ended the experiment, calling it a small test. Right. Technically, that means the feature is gone. For now. I don’t think the interesting part of this story is that it ended. I think it’s what Google thought was possible in the first place, especially the same week Google kept expanding AI Overviews more aggressively, pushing traditional links even farther down the page.

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The internet used to need the page

The process used to be so simple. A blogger created a recipe and Google helped someone find it. That person clicked, maybe saw an ad, maybe joined an email list, maybe came back the following week. The system was never perfect, but there was a recognizable path between creating value and receiving some of it back. That path is changing. AI systems can pull information from across the web to build an answer before anyone reaches the original source. And now we’re starting to see what that looks like beyond text.

If we’re really gonna get technical (which I love to do) a recipe was never just a title and a list of ingredients. It’s a dense package of structured knowledge: ingredient relationships, quantities, sequence, timing, temperature, technique, substitutions, dietary information, images, video, and years of small decisions that add up to expertise. Most of that sits invisibly inside what looks, from the outside, like one ordinary webpage. Your content isn’t just something people read. It’s something machines can now interpret and act on.

This is bigger than traffic

We all know where this conversation usually goes next. Traffic. Will AI Overviews decrease clicks even more, and by how much? Will Google send fewer people to recipe sites? A creator’s business runs on ad revenue. It’s your bread and butter, but focusing only on traffic makes it easy to miss the bigger shift, which is that the unit of value itself is changing.

Owned platforms are extremely valuable but creators treat the webpage as the only asset. You create the post, rank the post, drive traffic to the post, monetize the traffic. But the webpage was always just one container for the thing that actually mattered underneath it, which is the content itself. The systems around us are getting much better at separating the two.

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Your instructions can become an answer somewhere else. Your ingredient list can become a shopping list. Your expertise can inform a recommendation you never see. Your video can become source material for a format you didn’t make. Your recipe can be useful in a place you never published it. That opens up real opportunity. It also raises the uncomfortable question of if your content can travel without your webpage, what travels with it. Your name, your authority, your attribution, your rights, your business model. Or just the information, stripped of everything that took years to build.

And then, something else happened

It’s been a busy few weeks.

The Wall Street Journal reported on something called creator-first answer engine optimization. Yes, we have apparently reached the point in the internet’s evolution where AEO needed another modifier attached to it. 😅

Okay, so we now have this slightly absurd new acronym, but stay with me. This means that brands are starting to study which creator content shows up inside AI-generated answers, so they can understand, and potentially influence, what those systems recommend.

I hate the doom narrative, and this isn’t supposed to be one. Creator content isn’t becoming less valuable just because AI can answer questions on its own, but more valuable. The problem is that the mechanisms for capturing that value haven’t caught up yet. Creators are still largely trained to measure success through pageviews, followers, likes, and reach. Meanwhile, companies are starting to look at that same creator content as input into recommendation systems. Those are two very different ways of understanding the same asset, and right now most creators are only equipped to think in one of them.

You don’t need another platform strategy

You need a content infrastructure strategy, and those are not the same thing.

A platform strategy asks what to post on Instagram, whether to make more video, how to optimize for Google, whether TikTok is worth the time, and what on earth to do about AI. A content infrastructure strategy asks what have I already created, how is it structured, where can it travel, and how does value make its way back to my business when it does.

That second question is a lot more substantial, because platforms will keep changing. Google will run another experiment. (Keep your eyes out for that!) AI systems will introduce new interfaces. Social platforms will shift their distribution again. New devices will show up that nobody’s fully planned for. And creators will keep being told they need to build something new for each one.

Creating something new for every platform isn’t sustainable and definitely not necessary.

Your archive may be more valuable than you think

Picture Riley’s site a little differently. Not as 600 old blog posts, but as a structured library holding 600 tested recipes, thousands of ingredient relationships, years of seasonal expertise, thousands of original photographs, hundreds of cooking techniques, dietary adaptations, substitution knowledge, video, stories, and audience insight built up over years of trial and error.

That’s a very different sentence than “I have a bunch of old blog posts I need to update.” One sounds like maintenance debt and the other sounds like intellectual property.

That’s the reframe I want creators sitting with. The people best prepared for whatever comes next probably won’t be the ones publishing the most. They’ll be the ones who actually understand what they already own, how it’s structured, where it can be reused, where it’s already showing up, and increasingly, under what conditions someone, or something, gets to use it.

Don’t ignore the signal

I have no idea whether Google brings AI-generated recipe images back. Maybe it does, maybe it doesn’t, and honestly, that’s not really the point.

The experiment showed us the internet is moving from systems built primarily to find content toward systems that can interpret, assemble, and present content on their own. That changes what it means to create for the internet in the first place, and it makes something I’ve believed for a while now feel a lot more urgent: creators need to stop thinking of their archive as a pile of webpages. It’s a library of structured knowledge, and the more capable machines get at understanding that knowledge, the more important it becomes for creators to understand it too.

Riley shouldn’t have to buy the peaches twice just so the internet has something new to consume next Tuesday. She already did the hard part. She created something valuable. The real question now is whether she’s built the infrastructure to make sure that value keeps working for her, and not just for whatever comes looking for it next.

Until next time,

I started Blueberri Pi because after over a decade working in content, food, and technology, I noticed we talk a lot about the content people see, but we don’t talk nearly enough about everything happening underneath it.

I spent years woirking behind the content

My career started in food, but it didn’t stay neatly inside editorial. Over the years, my work moved across content, product, partnerships, operations, and technology. Eventually, I led content engineering at SideChef, working on the taxonomy, metadata, and ingredient systems supporting a database of more than 20,000 recipes.

Today, I work with food tech platforms, creators, and content teams through Blueberri. I also spend an unreasonable amount of time thinking about metadata, publishing systems, the future of food content, why content teams struggle to explain what they do, and whatever strange new thing the internet has decided we all need to understand this month.

Welcome to the messy middle

Some publications focus on content creation. Some focus on technology. Others focus on media and the creator economy.

Blueberri Pi lives in the messy middle where all three meet.

On Fridays, (that’s goal) I explore the systems shaping how content is created, managed, discovered, distributed, and experienced. That can mean structured content one week, AI search the next, a creator-platform shift after that, and occasionally a deep dive into why a recipe database is much more interesting than it sounds.

I’m less interested in telling you how to chase the latest algorithm than understanding what’s happening behind the scenes. I don’t think creators and content professionals need another person yelling that everything they know is dead every six months. We need better ways to understand what’s actually changing. That’s what we’re doing here.

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What you’ll find here

Three big conversations are running through Blueberri Pi.

Content + systems
Structured content, content operations, content engineering, workflows, governance, publishing infrastructure, and the invisible machinery behind what eventually appears on a screen.

Content + technology
AI, search, discoverability, platforms, recommendation systems, emerging interfaces, and what happens as machines increasingly interpret information before people consume it.

Content + media
Food media, creator ecosystems, digital publishing, platform economics, partnerships, audience behavior, and the increasingly blurry line between creators, publishers, platforms, and technology companies.

If you’re new, start here

You absolutely do not need to work your way through the archive from the beginning.

Here are a few places I’d send you first.

If you’re thinking about discoverability

Old MacDonald Had an Optimization Strategy (A-E-G-E-O)

SEO. AEO. GEO. LLMO. Every new optimization acronym promises to explain the future, but they’re all circling a much bigger question about how information gets discovered and what makes content useful after the next acronym arrives.

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If you work with content systems

Structure Existed Long Before the Internet

A surprisingly human introduction to structured content, using recipes, libraries, grocery stores, and content management systems to show why structure helps information remain understandable, reusable, and useful as it moves between systems.

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A Token of My Appreciation

A look beneath the AI conversation at tokens, BERT, machine interpretation, and the real infrastructure required for AI systems to understand and generate information. It also connects your SideChef experience directly to why you think about AI and content differently.

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If you’re a creator

Blueberri Pi isn’t about teaching you how to post more. These issues are a good place to start if you’re thinking about how to make the content you’ve already created more discoverable, durable, and valuable.

Zero Click Discovery

What happens when people are still searching, cooking, and consuming content—but aren’t clicking like they used to? This issue follows food creator Nelly to explore why structure matters when discovery increasingly happens beyond your website.

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The Myth of Consistency

A challenge to the idea that creators have to keep publishing to stay visible. It explores the difference between momentum and infrastructure—and what continues working when you stop creating for 30 days.

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When Pageviews Aren’t Enough

An exploration of what happens when the old traffic-equals-revenue equation starts breaking down, and why creators need to think beyond advertising toward partnerships, diversification, and content that can create value in more than one way.

Read More

Want to go deeper into AI + creator platforms? Read The AI That Isn't Writing Your Recipes and Agents, Advocacy, and BBQ.

There’s also a podcast

Some ideas need more room than an essay. Others are simply more interesting when you can hear people think through them.

The Blueberri Podcast gives me space to go deeper into the questions I’m exploring in the newsletter. Sometimes that’s a conversation with someone working inside the industry. Sometimes it’s me pulling apart an idea that deserves more than a paragraph in Friday’s issue.

If you like the essays but find yourself thinking, OK, but I want to hear more about that, the podcast is probably where you should go next.

Listen to the Blueberri Podcast

What’s changing about content work that you can’t quite make sense of yet?

Leave a comment and tell me.

Maybe it’s AI search or your role. Maybe your traffic disappeared or your content team has seven tools and somehow still needs three spreadsheets. Maybe everyone at work keeps saying “content strategy” while meaning five completely different things.

I read the comments, and those questions help shape what I investigate next.

I don’t think anyone has the entire future of content figured out, but we can get much better at seeing what’s coming.

Welcome to Blueberri Pi.

AI transparency just became the industry standard

Substack launched an AI detection feature this week, built with Pangram. Readers can now scan any post over 100 words to get an estimate of how much was written by a human versus AI. LinkedIn followed almost immediately with its own “seems like AI slop” flag, letting users report posts they think were AI generated.

(I tried to do a screenshot of Linkedin drop down but I accidently clicked the option on someone’s post. Not sure whose it was, ah! It won’t show the “AI Slop” option on your own post. I tried. Or on any of LinkedIn’s own posts, interestingly.

I want to be upfront about where I stand on this, because I’ve never been shy about it. I use AI as a tool in my work. My headers and footers say so, and I keep an AI Usage Policy on my about page and on my website so you always know what you are getting from me. Nothing about these new detection tools changes how I operate. If anything, they confirm that the transparency I’ve already been practicing was the right call. And I do think there should be guardrails and protection on sites so that no one is deliberately deceived, so I appreciate Substack and LinkedIn’s advancements on this front. This is just the first version of these tools, so let’s see how it enhances content experiences for creators and consumers.

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The other thing I want to be honest with you about

I’m still recovering and resting. I am doing okay, and I am giving myself the time I need without apology. That means there won’t be another issue for the next 30 days.

So this one has to hold you over, and I think it will. There were some fun things that I did at the very beggining of summer that are finally live, so I’m excited to share. So ICYMI…

1. I sat down with Megan at Eat Blog Talk

Megan and I go way back, and I am always happy to get an invite back to her show. This time we talked about why recipes are not showing up on Google the way they used to, even when creators are doing SEO right. We got into how search behavior is changing and why structured content matters for the next phase of food blogging, including AI tools, meal planning apps, and voice assistants.

Listen to Episode 809 on Eat Blog Talk

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2. A guest post for Food Blogger Pro on tech partnerships

I wrote a guest post for Food Blogger Pro on how food bloggers can turn their recipe libraries into tech partnerships. This is a topic I care a lot about because tech partnerships are different from sponsor partnerships in some big ways that often get overlooked. Recipe licensing, product testing, content consulting, syndication, and AI and personalization deals all work differently than the sponsored post playbook most creators already know. Your content is an asset that you can leverage; in this article I share how.

Read the full post on Food Blogger Pro

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A freebie to tide you over

Tech partnership conversations come with their own vocab.

I spent years googling words and scribbling them down in my notebook during meetings, and I don’t want language to be the thing standing between you and a good deal.

So here’s a FREE mini glossary to help you have a leg up on the tech language in conversations and even in contracts.

Grab the Tech Lingo Mini Glossary

One more thing before I go quiet

I wanted to remind you that now you can get 20% off an annual subscription. That gets you a full year of freebies plus full access to every past issue in the archive, so there is no gap in what you can read while I am out.

The sale ends August 21, so grab it before then if it’s something you have been thinking about.

Get 20% off an annual subscription

That’s everything for now. I’ll see you soon with more great insights to share! Thanks for reading.

-Sandie

Instead of writing this week’s Blueberri Pi, I’ve been hanging out in the hospital collecting bracelets like they’re souvenirs.

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That also means no Friday issue this week and no paid podcast episode for next Monday. I’m pretty bummed because I had to reschedule a content ops with AI webinar I was really excited about. New date and time is TBD.

The good news: I’m okay and on the mend. Once I’m back on my feet, Blueberri Pi will be back to its usual mix of content systems, creator strategy, and the occasional deep dive into structured content.

In the meantime, here are five of the most popular Blueberri Pi articles from the past year. Still super relevant

The Social Shift

https://blueberripi.blueberri.co/p/instagram-search-openai-agents-creator-strategy

Does Your Blog Still Sound Human?

https://blueberripi.blueberri.co/p/does-your-blog-still-sound-human

The AI That Isn’t Writing Your Recipes

https://blueberripi.blueberri.co/p/ai-for-food-creators-without-losing-your-voice

Creators Belong on LinkedIn

https://blueberripi.blueberri.co/p/creators-belong-on-linkedin

Medata Gone Missing

https://blueberripi.blueberri.co/p/metadata-recipe-schema-food-bloggers

Thanks, as always, for reading, subscribing, and cheering me on. This community means a lot to me.

Hopefully next week the only thing bursting will be my notebook full of new ideas!

See you next Friday,

xoxo

Sandie

Sure, there were endless debates about keywords, backlinks, and meta descriptions, but at least everyone was arguing about the same acronym. Then things got complicated.

First came AEO (Answer Engine Optimization). Then GEO (Generative Engine Optimization). Then LLMO (Large Language Model Optimization).

Depending on which corner of the internet you’re standing in, there are probably three more acronyms being invented as you read this.

Every few months, a new acronym arrives promising to explain the future of discoverability, and content creators, marketers, publishers, and content teams wonder whether they need to learn an entirely new set of rules. The good news is that the core change is much simpler than the acronym explosion suggests.

Meet Nik

Nik is a 26-year-old food creator living in Manchester. His YouTube channel focuses on approachable Indian-inspired meals for busy professionals who want something more exciting than another meal deal sandwich or frozen pizza. He films in a compact apartment kitchen, edits videos after work, and spends far too much time trying to understand what the internet wants from creators this week.

A few years ago, the advice seemed manageable. Learn basic SEO. Write clear titles. Create useful content. Publish consistently. There were certainly nuances, but most creators felt like they were operating from the same playbook.

Lately, Nik feels like he’s showing up to a game where the rules change every quarter. One LinkedIn post insists that GEO is the future. A webinar claims traditional SEO is dead. A podcast guest says every creator should be learning LLMO. Before he can figure out what one acronym means, three more have arrived.

The strange part is that Nik isn’t trying to manipulate search engines. He’s trying to help people make dinner. His audience wants practical recipes, cooking confidence, and ideas they can actually use after a long day at work. Yet increasingly, discoverability feels like a full-time job layered on top of content creation.

The acronym economy

The content industry has always loved naming things. Frameworks, methodologies, and emerging trends often arrive wrapped in a memorable acronym that promises to explain the future. Sometimes that language is useful because it gives people a shared vocabulary for discussing change.

Other times, however, new terminology creates the impression that an entirely new discipline has emerged. A creator learning about GEO today is often trying to solve the same fundamental problem they were solving when learning SEO years ago. They want their work to be found by the people who need it.

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The pace of technological change amplifies this tendency. Search engines evolve. Social platforms shift priorities. AI systems introduce new ways of interacting with information. As these changes occur, the industry naturally attempts to describe them, categorize them, and package them into something understandable.

Nik notices this every time he scrolls through his feed. Everyone seems convinced they’ve identified the next major shift. Few people stop to ask whether these acronyms are describing separate futures or different perspectives on the same underlying reality.

What changed?

The reason new acronyms keep appearing is that something genuinely important is changing beneath the surface.

For most of the internet’s history, discovery was relatively straightforward. Search engines helped people find information. Websites served as destinations. The path between creator and audience was not always simple, but it was generally visible.

Today, that path looks very different. Information moves through recommendation systems, social algorithms, AI assistants, aggregators, voice interfaces, and machine-generated summaries before it reaches a person. Increasingly, content passes through multiple layers of interpretation before anyone clicks a link.

That shift creates uncertainty because nobody fully controls the journey anymore. Creators aren’t simply publishing content for readers. They’re publishing into an ecosystem of systems that decide what gets surfaced, summarized, recommended, and remembered.

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The acronyms are attempts to describe this new reality. The problem is that focusing only on the acronyms can distract us from understanding the larger transformation taking place.

The internet is reading before humans do

One of the most significant changes in digital publishing is that machines increasingly encounter content before people do.

By the time a human sees a piece of content, several systems may have already processed it in different ways. Each system is attempting to determine what the content is about, who it might help, and whether it deserves visibility.

For creators like Nik, this can feel intimidating. It sometimes sounds as though success depends on understanding every algorithm, every platform, and every emerging technology. That’s an impossible standard because the systems themselves continue to change.

The mistake many creators make

When a new optimization trend appears, many creators immediately begin asking tactical questions.

• Should I rewrite old posts?

• Should I change my titles?

• Should I restructure my content?

• Should I learn a new framework?

Those questions are understandable, but they often focus on short-term adaptation rather than long-term value.

Nik notices this pattern in creator communities. Discussions quickly become dominated by tactics, checklists, and optimization tricks. Meanwhile, the more important conversation often gets overlooked.

The creators who survive multiple platform shifts rarely succeed because they mastered every tactic. Instead, they build durable assets that remained useful as technology evolved around them.

Durable content versus disposable content

Nik’s recipe for masala roasted potatoes may be discovered through Google today, YouTube tomorrow, and an AI assistant next year. The mechanism changes, but the usefulness remains. Someone searching for a reliable recipe still has the same need regardless of how they arrive.

This distinction matters because discoverability systems are temporary. Platforms change. Features come and go. Entire channels rise and fall. The internet is littered with examples of once-dominant platforms that now occupy only a small corner of digital history.

Useful content, however, often finds new paths to audiences. It adapts because its value isn’t dependent on a single discovery mechanism.

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The question beneath every acronym

When viewed through this lens, GEO, AEO, SEO, and LLMO begin to look less like competing ideas and more like different attempts to answer the same question.

• How does information move?

• How does information get understood?

• How does information reach the people who need it?

These are worthwhile questions. In fact, they’re becoming more important as content ecosystems become more complex.

Discoverability is not the goal. We’ve been programmed to think it is, but discoverability is a means to an end. The goal is to help someone solve a problem, learn something new, make a decision, or accomplish a task. The acronym may change. The purpose doesn’t.

Thinking beyond the platform

At some point, Nik stops worrying about which acronym will win. Instead, he starts asking a different question. What would make this content valuable five years from now?

Instead of optimizing exclusively for the platform, he begins thinking about usefulness. Instead of chasing every trend, he starts focusing on clarity, expertise, and structure. Instead of asking how content will perform this month, he considers how it might continue creating value in the future.

Ironically, this mindset often produces better results in the present as well. Content that is clear, trustworthy, and useful tends to perform well across multiple systems because it was designed around the audience rather than the algorithm.

Expand beyond discoverability

Content should be able to travel. It should move across platforms. It should adapt to different formats. It should remain useful in different contexts. Most importantly, it should continue creating value long after its original publication date.

This idea sits at the heart of the final stage of the COSE™ framework: Expand for Reach and Revenue.

The deeper purpose of Expand is longevity.

A recipe that helps someone today is useful. A recipe that continues to help people 10, 15, 20 years from now becomes more valuable. The same is true for articles, videos, frameworks, tutorials, and educational content. The most impactful content often extends beyond the moment it was created for.

Nik eventually realizes that this is the question he should have been asking all along. Not whether GEO will replace SEO. Not whether AEO is more important than LLMO. Not even whether his next video will perform well next week.

“Will this still be useful after the next platform update?”

A great recipe can move from a blog to YouTube, from YouTube to an AI assistant, from an AI assistant to a newsletter recommendation, and eventually into someone’s family recipe collection.

The platform changes, and the value remains.

In that sense, Expand is not simply about reaching more people. It is about extending the life, usefulness, influence, and impact of content over time. It is about creating work that can outlast the algorithm, the trend and perhaps even the platform itself.

That’s why I think of Expand as a question of legacy.

Not what content performs best today. What content continues to matter tomorrow?

Who cares about the acronym

The history of the internet suggests that more acronyms are coming. There will be new platforms. New systems. New interfaces. New ways of discovering information. And inevitably, new labels designed to explain them.

Some will be valuable. Some will be forgotten. Most will represent attempts to make sense of a rapidly changing landscape.

The creators who thrive won’t necessarily be the ones who predict every trend. They’ll be the ones who understand that beneath every technological shift is a remarkably consistent human need. People are still looking for answers, ideas, inspiration, and expertise.

Honestly, who cares whether GEO replaces SEO? Why not focus more on what you are creating and if it will still matter after the next acronym arrives?

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If you enjoy essays like this, subscribe to Blueberri Pi for weekly explorations of content systems, digital publishing, food media, and the future of content work.

Enjoying Blueberri Pi? Try an annual subscription. Annual members receive member-only resources, access to my exclusive podcast, deeper dives into industry shifts, and help support the independent research and writing behind every issue.

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While acronyms come and go, thoughtful ideas are worth investing in.

What do you think?

Are GEO, AEO, and LLMO genuinely different disciplines, or are they different names for the same underlying challenge?

Leave a comment and join the conversation. I’d love to hear how you’re thinking about discoverability, AI, and the future of content.

The future of content work won’t be shaped by a single platform or the next trending tool. It’ll be shaped by the systems, ideas, and people willing to understand what’s changing beneath the surface.

If that sounds like the kind of conversation you want to be part of, you’re in the right place.

See you next Friday.

— Sandie

In this episode of The Blueberri Podcast, I share how I went from completely confused by MCPs to realizing they’re part of a much bigger story about content, …

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In the AI world, the MCP has become one of the trending terms this year. Some people have even started calling it the “USB-C for AI” because it creates a standardized way for AI systems to connect to tools, services, and data sources. As AI agents become more capable, companies are focused on how those systems interact with the outside world, and how to govern, monitor, and secure those interactions.

None of that is particularly surprising to me.

I’ve been hearing about MCPs for the better part of a year. If you’ve spent any time around content intelligence, content engineering, or AI conferences lately, you’ve probably heard the term too. It seems like every event I’ve attended has included at least one conversation about MCPs, agentic systems, APIs, or the future of AI-powered workflows.

But until recently, it still felt like something happening somewhere else. The conversations were largely happening among developers, AI researchers, enterprise software companies, and technology leaders trying to prepare for what comes next.

Then Kit announced MCP support, and I thought that was pretty cool.

Suddenly, a concept that had been living in the conference rooms, webinars, white papers, and technical presentations showed up inside a tool many creators already use every day. Whenever that happens, I pay attention.

(This is not a sponsored issue, btw. But I just started using Kit and thought this was really cool, so here we are.)

When technical concepts start appearing inside creator tools, they’re usually signaling a larger shift.

Publishing keeps changing

For most of human history, publishing was relatively simple. You created something and shared it with people. A poem became a book. A recipe became a recipe card. A newsletter became an email. The content had one destination and one audience.

The internet changed that.

Today, a single piece of content might appear on a website, inside a newsletter, in search results, on social media, inside recommendation engines, and inside AI systems. The content itself hasn’t become more complicated. The ecosystem around it has. MCPs hint at a future where content, creator tools, audience data, and AI systems work together in ways that weren’t previously possible.

The future is coming fast, so what should creators do about it?

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Most recipes follow a familiar pattern. There’s usually a title, a list of ingredients, a set of instructions, a serving size, and sometimes notes or substitutions. Whether you’re reading a handwritten recipe card from a grandparent or browsing a modern food blog, the format feels so natural that most of us never stop to question it.

But that structure didn’t happen by accident.

Someone, somewhere, decided that ingredients should be separated from instructions. Measurements should be listed before cooking begins. Steps should follow a logical order. Over time, those conventions became expectations. And because they became expectations, recipes became easier to read, easier to share, and easier to reproduce.

Before anyone talked about metadata, content models, or structured content, people were already organizing information.

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Humans have always organized information

One of the biggest misconceptions about structured content is that it’s a technology concept. It’s a human concept.

Libraries use structure. Grocery stores use structure. Maps use structure. Museums use structure. Even your kitchen probably uses structure. There’s a reason spices aren’t mixed randomly with canned goods and baking supplies aren’t stored in six different rooms.

Structure reduces effort. It helps people find things faster. It helps information make sense. It helps knowledge survive beyond the person who created it.

When librarians created classification systems, they weren’t trying to optimize for search engines. They were trying to solve a human problem. As collections grew larger, finding information became harder. Structure was the solution.

The internet didn’t invent this challenge; it just made it bigger.

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What changed when information became digital?

The internet dramatically increased the amount of information being created and shared. Suddenly, content wasn’t living in a single book, filing cabinet, or library shelf. It was spread across websites, apps, databases, search engines, social platforms, and devices.

The old challenge remained. People still needed to find things. The difference was scale.

A cookbook might contain a few hundred recipes. A recipe platform might contain hundreds of thousands. A library might catalog millions of books. Search engines now organize billions of pages. At that scale, structure becomes less of a convenience and more of a necessity.

That’s why so many conversations today involve metadata, taxonomies, schemas, content models, and structured content. These aren’t entirely new ideas. They’re modern solutions to a very old problem.

How do we organize information so people can actually use it?

The recipe card and the CMS

A few years ago, someone asked me what structured content actually is. I could have given a technical answer. Instead, I showed them a recipe card. A recipe card is surprisingly close to a content model.

It has a title, ingredients, instructions, preparation time, serving size (yield), and notes.

Each piece of information has a purpose. Each piece belongs somewhere specific. If someone wrote the instructions where the ingredients should go, the recipe would still contain the same information, but it would become much harder to use.

Modern content management systems work the same way.

Imagine entering a recipe into a CMS. Instead of pasting everything into one giant text box, the system gives you separate fields for the recipe title, ingredients, instructions, cooking time, nutrition information, cuisine type, and categories. Each piece of information is stored independently.

At first, that can feel like extra work. But separating the information creates possibilities. A recipe platform can display cooking time in search results. A shopping experience can pull ingredients into a grocery list. A mobile app can show only the instructions while someone is cooking. A recommendation engine can suggest similar recipes based on cuisine or dietary preferences.

None of those experiences are possible if everything is trapped inside a single block of text. The recipe itself doesn’t change. The structure does.

That’s why content management systems aren’t really managing pages. They’re managing information. The more clearly information is organized, the easier it becomes to find, retrieve, reuse, and adapt for different experiences.

That’s also why structured content often feels invisible when it’s working well. The structure fades into the background, allowing the information itself to take center stage.

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People often use the terms interchangeably because they’re closely related. Structured data is usually built from structured content. If information isn’t organized first, it’s much harder to describe consistently later.

That’s why content professionals, developers, SEO specialists, and platform teams sometimes use different terminology. They’re often talking about different layers of the same system.

Why everyone is talking about structure again

If you’ve been paying attention to content and AI conversations lately, you’ve probably noticed that structured content keeps coming up.

Adobe has been discussing structured content as a foundation for automation and personalization. Content operations professionals talk about modular content. Technology companies are investing heavily in content systems that make information easier to manage, retrieve, and reuse.

At first glance, it might seem like AI created this renewed interest. I don’t think that’s what happened. I think AI reminded us why structure mattered in the first place.

The more information moves through systems, the more important it becomes for that information to retain its meaning. Search engines, recommendation engines, shopping experiences, recipe platforms, voice assistants, and AI tools all need ways to understand what information represents.

The challenge isn’t new. What’s new is the number of systems interacting with content. And that number is growing quickly.

When structure becomes a business advantage

For a while, creators could think about content as a destination. Someone visited a website. Read an article. Made a recipe. Clicked an ad. The experience began and ended on a webpage.

That model is starting to change. Recent reporting has highlighted growing concerns among food bloggers as AI-powered search experiences provide recipe answers directly within search results. Whether creators like this shift or not, it reveals something important.

Content is being separated from the place where it was originally published. Information is traveling.

The question is whether it can travel well.

Ann Rockley, one of the pioneers of intelligent content, described intelligent content as content that is discoverable, reusable, reconfigurable, and adaptable. She argued that structured, semantically rich content becomes easier to find, personalize, deliver, and reuse across different channels and experiences.

Those ideas were originally developed for enterprise content systems, but they’re becoming more relevant to creators.

If someone asks an AI assistant for a high-protein Malaysian-inspired dinner, or a personalized recipe recommendation based on dietary preferences, the system is looking for information it can understand.

The easier your content is to understand, the easier it becomes to retrieve, connect, personalize, recommend, and reuse. That doesn’t guarantee revenue, but it does create opportunity.

A recipe that more systems can understand can potentially appear in more places. It may power search experiences, shopping integrations, recipe collections, recommendation engines, personalized meal planning, future AI experiences, and opportunities that don’t exist yet.

That’s one reason I believe structure matters more today than it did five years ago. Personalization is becoming normal, AI is becoming a discovery tool, and content moves through systems before it reaches people. As those systems become part of how information is discovered and delivered, the ability for content to retain its meaning across different experiences becomes more important.

The creators who benefit most from future platforms will be the ones whose content can travel the farthest while retaining its meaning.

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Meet Kami

Kami is a food creator in the Bay Area who specializes in Malaysian fusion cooking. Some of her recipes are inspired by dishes she grew up eating, while others blend traditional Malaysian flavors with ingredients and techniques she discovered in California. On any given week, she might be filming a recipe video, testing a new dish, writing a newsletter, or responding to questions from readers who have made her recipes at home.

Like many creators, Kami didn’t spend much time thinking about structure. She thought about whether the recipe worked, whether the instructions were clear, and whether the finished dish looked delicious. If someone could successfully recreate the recipe in their own kitchen, she considered it a success.

For a long time, that was enough.

The recipe started showing up everywhere

One day, Kami noticed that the same recipe was appearing in far more places than she originally intended. It lived on her website, but pieces of it were also showing up in newsletters, social media posts, recipe collections, search results, and cooking apps.

Readers were saving screenshots of ingredient lists. Search engines were displaying cooking times and ratings directly in results. AI tools were summarizing recipes when users asked questions. The recipe was no longer just a webpage. It had become information moving through multiple systems.

That’s when Kami started seeing her content differently. The ingredients weren’t just ingredients. The cooking time wasn’t just a helpful detail. The instructions weren’t simply a block of text. Each piece of information served a purpose and could be reused independently of the recipe itself.

The structure in the recipe had become visible.

For most of human history, structure has helped people find information, share knowledge, and make sense of complexity. Today, those same principles help information move through search engines, recommendation systems, shopping experiences, and AI tools. The technology may be new, but the underlying idea isn’t. The recipe wasn’t structured because a machine needed it; it was structured because people did. The machines just arrived later, and as more systems begin interacting with content, that old lesson feels surprisingly relevant again.

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Blueberri Pi will always include free issues because I believe these conversations should be accessible to anyone interested in content, technology, and the future of publishing.

For readers who want to go deeper, paid subscriptions help support the research, writing, podcast production, and educational resources that make this publication possible.

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The newsletter is where I share ideas. The podcast is where I unpack them in more depth.

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One thing to think about this week

The next time you follow a recipe, walk through a grocery store, browse a library, or search for something online, pay attention to the structure hiding in plain sight.

You might discover that some of our most important systems aren’t built on entirely new ideas.

They’re built on old ones that still work.

See you next Friday.

— Sandie

I was talking with my manager about what growth might look like and where I wanted my career to go next. We were brainstorming possibilities when she suggested something that completely caught me off guard.

“What if we renamed your team the Content Engineering team?”

That’s not a real thing.

I genuinely thought it sounded like a startup gimmicky buzzword. Something somebody had invented five minutes earlier and hoped everyone else would accept without asking questions.

In this first episode of The Blueberri Podcast, I share the story of how working alongside engineers changed the way I think about content, structure, publishing systems, and the invisible layers behind digital experiences.

This episode is also kind of an introduction.

You’ll learn how I found my way into this corner of the content world, why I wanted to create an audio-only podcast, and what kinds of conversations we’ll be exploring together going forward.

If you’ve ever heard the term content engineering and wondered what it actually means, or if you’ve ever found yourself translating between content, product, and engineering teams.

And if the episode sparks a thought or a question, leave a comment. Some of my favorite conversations start exactly that way!

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Because it’s the first episode, it’s completely free.

After that, new episodes of The Blueberri Podcast will be delivered to paid subscribers every Monday morning.

Listen to Episode 1: Content Engineering Is a Real Thing

Resources Mentioned:

• Read Designing Connected Content: Plan and Model Digital Products for Today and Tomorrow

• Check out Blueberri.co

Certain words kept appearing throughout the presentation. The presenter moved through them naturally, assuming the audience understood what they meant. Maybe they did. AI has become so ingrained in everyday conversation that it’s easy to forget how quickly the language around it has become normalized. Still, I couldn’t help wondering if everyone listening actually knew what a token was or why they should care.

I thought about my own relationship with AI that started in a very different place than it does for most people today. My first experience with a machine learning model wasn’t ChatGPT. It wasn’t Claude. It wasn’t even the early versions of generative AI that dominate headlines now.

It was BERT.

Before ChatGPT, there was BERT

Back in 2019, I was leading the Content Engineering team at SideChef. We were building shopping experiences around recipe content, and the problems we were solving looked very different from the AI conversations happening today. Nobody was debating whether machines would replace writers. Nobody was creating AI agents. Instead, we were trying to understand how machines interpret information and why they so often got it wrong.

One of the questions we ran into all the time sounded simple. How does a system know that canned tuna and tuna in water are describing essentially the same thing?

Multiply that problem across thousands of ingredients and hundreds of thousands of grocery products and you begin to see the challenge.

Looking back, I realize we weren’t actually teaching machines about ingredients. We were teaching them about relationships. We were defining how information connected to other information. We were creating structure that allowed systems to interpret meaning more accurately. BERT represented a major step forward because it helped machines understand language in context.

BERT was a machine learning model introduced by Google that helped computers better understand the meaning and context of language.

Unlike ChatGPT, Claude, and Gemini, which are designed to generate answers and create new content, BERT’s primary job was understanding what existing text meant. In many ways, BERT helped machines become better readers, while today’s large language models are designed to be both readers and writers.

That experience fundamentally changed the way I think about content.

In many ways, it also explains why I see today’s AI conversation differently than most people do.

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From the Blueberri Podcast

While writing this issue, I kept thinking about a conversation I had with myself while recording the very first episode of The Blueberri Podcast.

The episode starts with a simple question.

How did we get here?

Not just to ChatGPT, Claude, and Gemini, but to a world where content, search, recommendation engines, grocery apps, voice assistants, and AI systems all rely on structured information to function.

In the trailer, I share why I started the podcast and what listeners can expect. We’ll talk about content strategy, structured content, creator ecosystems, publishing systems, and the invisible infrastructure that shapes how information moves through modern platforms.

If you’ve ever found yourself exc ited by the systems behind the content, you’re probably going to enjoy what’s coming.

The first full episode launches Monday.

Why do they call it a token?

The name actually makes more sense than it first appears.

Depending on the model, a token might be a whole word, part of a word, punctuation, or even a space. When you type a question into ChatGPT, Claude, or Gemini, the system breaks your request into tokens before it can understand and respond to it.

Every question consumes tokens. Every answer generates more tokens. The longer the conversation, the more tokens are processed. In other words, tokens are how AI companies measure the work being performed behind the scenes.

The technical details are interesting, but the bigger takeaway is what tokens represent. They represent computation. They represent processing power. They represent real infrastructure running somewhere in a data center. Every summary, recipe rewrite, customer support answer, or content recommendation requires resources to generate.

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I still love creating Your Friend in Food. Those conversations are personal. They’re about food, creativity, memories, identity, and the human stories that connect us.

But this podcast is different.

The Blueberri Podcast is where I get to explore another side of my world—the side that’s fascinated by content systems, digital publishing, structured content, content operations, and the invisible infrastructure that shapes how information moves through organizations and across the web.

This trailer is free because I wanted to give you a taste of what’s coming. In the first episode, I share the story of the first time I heard the term content engineering, a moment that completely changed how I think about content.

After that, the rest of the podcast is available to paid subscribers.

I do realize there’s something wonderfully meta about asking content professionals to pay for content about content.

If you’ve ever found yourself fascinated by the systems behind content, curious about where publishing is headed, or wondering why content work feels more complicated than it did five years ago, I think you’ll feel right at home here.

Thanks for listening.

Welcome to The Blueberri Podcast.

Let’s make the invisible visible.

I’ve been to five of the seven continents so far, and my passport is slowly running out of room for stamps and visas. Somewhere in my early twenties, I decided I was going to see the world. I didn’t have a detailed plan. I just knew I wanted to go.

All I needed was a passport and a willingness to move.

To this day, I’m still trying to figure out how to get to Antarctica. It’s going to happen.

The thing I love most about travel isn’t necessarily the destination. It’s the movement. The idea that a single person can wake up in one place and find themselves somewhere completely different a day later. The journey changes you, but it also changes how you see the world around you.

Lately, I’ve been thinking about content the same way.

For years, most of us created content as if it would live in one place. A blog post belonged on a blog. A newsletter belonged in an inbox. A social post belonged on a social platform. Each piece had a destination and stayed there.

That isn’t how the internet works anymore.

Content increasingly moves between websites, newsletters, apps, recommendation engines, AI systems, voice assistants, social platforms, and experiences that often reinterpret information before audiences ever see it. In many ways, content is traveling farther than ever before.

Most content was never designed to travel

Brooke lives in Raleigh, North Carolina, where her lifestyle blog, The Sunday Suitcase, has grown into a full-time business. What started as a place to share travel stories, home projects, routines, and everyday moments now supports a newsletter, social channels, brand partnerships, digital products, and a growing archive of content that reaches people in dozens of different ways.

For a long time, she would publish a blog post, share it on social media, send it to her email list, and move on to the next idea. The content lived in a few predictable places, and keeping everything updated felt manageable. Then the business grew.

A single travel guide became a blog post, a newsletter feature, multiple Pinterest pins, a Reel, a downloadable resource, and a collection of social posts. The same information started appearing across more channels, more platforms, and more systems than Brooke could easily keep track of.

One afternoon, she needed to update a hotel recommendation in an older travel guide. The change itself took less than a minute. Finding every place that recommendation appeared took nearly an hour. Her content now had more places to go than ever before.

The internet had changed. Content now moved through websites, newsletters, social platforms, recommendation engines, apps, and increasingly, systems that repackaged information before audiences ever saw the original source. Most content was never designed for that kind of journey. But that’s exactly the journey modern content is expected to take.

The content became the source

Brooke didn’t solve the problem by working longer hours or adding another tool to her stack. Instead, she started looking at her content differently and started treating her entire content library and channels as different versions of the same idea. The destination changed, but the information often stayed remarkably similar.

A travel guide wasn’t just a blog post anymore. It had recommendations, photos, packing tips, itineraries, and personal stories. Once she started thinking about those pieces separately, repurposing became easier because she wasn’t constantly rewriting content from scratch.

Her blog became the source; everything else became an adaptation.

The copy-and-paste internet

Since the twenty-teens, creators were taught to think about content as finished pieces. A blog post was a blog post. An email was an email. An Instagram caption was an Instagram caption. Every channel got its own version.

That approach worked when content lived in fewer places.

Today, creators are publishing into ecosystems rather than individual channels. A single recipe might appear in a newsletter, an app, a recommendation engine, a social feed, and an AI-generated summary.

The irony is that creators are often doing more publishing work than ever while producing roughly the same amount of information. The content isn’t multiplying. The destinations are.

Many content teams are discovering that the old copy-and-paste model simply doesn’t scale anymore.

What brands figured out first

While creators are debating SEO, AEO, AI Overviews, and traffic declines, some of the world’s largest organizations are quietly changing something much bigger. They’re changing how content gets created.

Instead of building content separately for every channel, many brands are moving toward modular content systems. Product descriptions, FAQs, images, specifications, and promotional copy are being broken into smaller reusable components and stored in central repositories.

They’re not creating content for websites, apps, kiosks, voice assistants, and future platforms individually; they’re creating content once and distributing it everywhere. The content stays consistent, updates happen faster, and teams spend less time rewriting and more time creating. Most importantly, the content becomes easier to reuse.

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Why this matters beyond enterprise

At this point, you might be thinking, “That’s great for large organizations, Sandie, but I run a blog.”

That’s exactly why it matters.

The same forces driving enterprise content transformation are affecting creators too. The number of places your content can appear keeps growing. Your content might show up on your blog, in your newsletter, inside a recommendation engine, in a voice assistant response, on a mobile device, or inside an AI-generated summary.

So it’s not whether content will travel. It’s whether your content is prepared for the journey.

The COSE™ connection

This trend connects directly to the COSE™ Framework. It’s the framework I created to help creators and content teams operationalize all the advice I give.

Create with Structure, the first pillar, means building content intentionally so it can be reused later. Organize for Reuse means storing information in ways that make that reuse possible. Those two ideas create the foundation for everything that comes next.

When content is structured and reusable, it becomes easier to Share with Intention across multiple channels. It also becomes easier to Expand for Reach and Revenue because the same content can support more experiences without requiring more work.

The more places content needs to go, the more structure matters. That isn’t just a COSE™ principle. It’s increasingly becoming a publishing reality.

The future may look more modular than we think

I don’t think most creators need to rush out and implement enterprise content management systems. What I do think is that creators should start paying attention to the direction the industry is moving.

The internet increasingly rewards content that can move. AI systems prefer structured information. Platforms prefer consistency. Audiences expect content to appear wherever they happen to be. Every year, the number of destinations continues growing.df

Meanwhile, most workflows still assume content lives in one place.

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Discovery has places to go, too

Content isn’t the only thing becoming more distributed.

The way people discover content is changing as well. While Google remains the dominant search engine, users are increasingly finding information through AI assistants, recommendation engines, social platforms, communities, and alternative search tools.

One example is DuckDuckGo. Unlike traditional search engines, DuckDuckGo takes a different approach to search and privacy while still delivering results from a variety of sources. As creators think about the future of discoverability, understanding alternative discovery channels becomes increasingly important.

If you missed it, I recently published a guide explaining how DuckDuckGo works, where its results come from, and why it matters in today’s evolving search landscape. Keep an eye out, because I’ll be exploring more search engines soon.

Read the complete guide to how DuckDuckGo works and where its search results come from.

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Blueberri Pi updates

Starting with the next issue, I’ll begin introducing paid content for Blueberri Pi.

Free subscribers will continue receiving the full weekly issue every Friday. Paid subscribers will receive additional resources designed to help put these ideas into practice, including framework guides, visual explainers, worksheets, templates, and behind-the-scenes notes.

More details next week.

I’m also excited to share that the Blueberri Podcast is launching soon.

This voice-only podcast will explore the future of content work, creator ecosystems, food media, structured content, publishing systems, and the invisible infrastructure shaping how information moves through the modern internet. Think of it as the conversational companion to Blueberri Pi.

Some ideas work best as essays. Others deserve a conversation.

Thanks for reading.

See you next Friday!

A lot of creators and content teams still think they’re solving traffic problems, ranking problems, or consistency problems. Sometimes they are. But now more than ever, what they’re really navigating are more interpretation problems. The systems surrounding content are changing faster than the publishing habits most people built their businesses around, and many of these shifts still look deceptively familiar on the surface. That’s why so many creators continue optimizing for behaviors the internet itself is slowly moving away from.

Meet Maya

Maya lives in Phoenix, Arizona, where most mornings begin with coffee, analytics dashboards, and a growing number of browser tabs she swears she’ll close eventually. Five years ago, she started Casita Table, a food blog documenting weeknight recipes inspired by her Puerto Rican grandmother and the practical reality of cooking for two after long workdays. At the time, she was still working full-time in healthcare administration, testing recipes at night in a small apartment kitchen while trying to learn WordPress, Pinterest, and food photography all at once. What started as a creative outlet slowly grew into something much bigger.

Today, Casita Table is Maya’s full-time business. Her income now comes from a mix of display ads, affiliate links, sponsored partnerships, newsletters, and digital products tied to meal planning and pantry cooking. On the surface, the business looks stable. Her recipes still rank well, traffic is still coming in, and brands continue reaching out for partnerships. But despite all of that, Maya still feels like she’s managing an entire publishing operation instead of simply running a blog.

Most of Maya’s workday no longer revolves around cooking. It revolves around maintenance. Updating old posts. Rewriting metadata. Troubleshooting Pinterest performance. Reviewing analytics. Formatting newsletters. Repurposing recipes for Instagram and short-form video. Managing plugins. Responding to algorithm changes. Keeping older content discoverable while trying to publish new recipes fast enough to stay visible online.

A few years ago, Maya became almost obsessive about FAQ sections because every food blogging conference, SEO webinar, and optimization guide seemed to repeat the same advice. Add FAQ schema. Answer common questions. Increase your chances of appearing in rich results. She spent hours researching what readers might ask, rewriting questions to match search behavior, and formatting every recipe carefully enough for Google to interpret clearly. Some nights, the FAQ section took longer to write than the recipe introduction itself because it felt directly connected to visibility and traffic.

At the time, the effort felt worth it. FAQ rich results made recipes stand out in search, and structured answers felt like a competitive advantage in an increasingly crowded publishing environment. Maya genuinely believed she was building discoverability into her content one question at a time. But lately, the traffic patterns have shifted, AI-generated summaries increasingly answer questions before users click, and many of the carefully structured FAQs she spent years optimizing no longer seem to create the same impact they once did.

By 11:48 PM on a Tuesday night, Maya wasn’t asking whether FAQ sections still helped readers. She was wondering whether search itself still worked the way her business was built around. These days, fewer people seem to click. They ask questions, but machines answer first. The internet doesn’t search like it used to, and I think creators like Maya are starting to feel that emotionally long before they can fully explain it strategically.

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The shift from search to answers

I recently came across an article from Content Science titled What Is Answer Engine Optimization (AEO)? The article defines AEO as the practice of structuring and optimizing content so AI-driven systems can extract, summarize, and deliver it directly in response to user questions.

For nearly two decades, creators built content around search behavior. That’s twenty years. Let that sink in. People searched, search engines ranked pages, and websites competed for clicks. Entire publishing systems evolved around that environment through keywords, metadata, search intent, backlinks, featured snippets, FAQ sections, and evergreen optimization. Creators learned how to structure content for search engines because visibility depended on it. But answer engines change the relationship between questions, answers, and websites themselves because increasingly people are not searching for pages. They are searching for answers, and increasingly, AI systems are delivering those answers directly.

The goal used to be “How do I rank?” but now the question that is showing up more is, “How do I become interpretable?” That is a very different kind of publishing environment, and I think we are still underestimating how much this changes the internet. The shift is not only technical, but it’s also operational, behavioral, and structural all at once.

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Why FAQ sections suddenly feel different

Google itself has already started quietly signaling parts of this transition. Its updated FAQ structured data guidance now limits FAQ rich results primarily to authoritative government and health websites instead of broadly supporting FAQ-rich experiences across general publishing sites. For years, creators treated FAQ schema almost like a required SEO ingredient because it visibly improved search experiences. Now the incentives are changing, not because structure stopped mattering, but because the systems interpreting content are changing.

This is where conversations about AEO sometimes become too basic. The narrative quickly turns into “SEO is dead,” “websites are dead,” or “optimize for AI,” but I don’t think that’s what’s actually happening. What’s happening feels more operational than apocalyptic because the internet is shifting from retrieval to interpretation. Search engines were designed to retrieve pages, while answer engines are designed to synthesize information. That distinction changes the role content plays online because content no longer competes only to be found. It competes to be understood.

That’s why structure suddenly matters now for machine readability, semantic clarity, contextual understanding, authority, trust, citation, and answerability. Not sure if that last one is a word, but we are gonna roll with it.

The irony is that creators spent years learning how to structure content for search engines only to arrive at a moment where machines may not need users to click the page at all. Instead, machines are starting to extract, summarize, and reinterpret information before audiences ever interact with the original source directly.

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Authority is becoming distributed

Authority is now coming from ecosystems instead of isolated websites. It’s not just about what you publish yourself, but who references you, where your expertise appears, whether communities trust you, and whether your ideas consistently show up across platforms. That feels incredibly important because AI systems do not just interpret webpages anymore. They interpret patterns.

YouTube videos, Reddit discussions, LinkedIn posts, podcasts, forums, and community conversations are shaping how information gets interpreted online. Visibility is becoming distributed across ecosystems instead of concentrated in single destinations. I think creators already feel this shift emotionally because one piece of content now has to perform in search, adapt for social platforms, support newsletters, survive algorithm changes, appear in AI summaries, and move across multiple formats at once. Modern content stopped existing in just one place or moving in one direction.

This also connects directly to something I wrote about recently in Content Work Was Never Designed for the Internet We Have Now. Most content workflows were built for a simpler publishing environment with one website, one destination, and one primary discovery channel. That’s not the reality creators operate in because content now moves across fragmented systems, AI interfaces, recommendation engines, feeds, summaries, search experiences, and platform ecosystems at the same time. The systems surrounding content keep getting more complicated, and structure is increasingly the thing helping content move clearly across all of them.

The end of the chase

Maya didn’t completely remove her FAQ sections overnight, but she stopped treating them like the center of her visibility strategy. What changed first was her mindset. She focused less on adding separate FAQ blocks and more on improving clarity throughout the entire recipe itself. Instructions became more structured. Ingredient notes became more specific. Substitutions, storage guidance, and cooking context became easier to scan naturally within the recipe instead of being buried at the bottom purely for search optimization.

She also stopped depending so heavily on Google as the center of her discoverability strategy. Instead of creating content only for search rankings, Maya started building stronger connections between her newsletter, Instagram, Pinterest, short-form video, and community conversations. A question someone asked in her newsletter might become a future recipe update. A comment from Instagram could turn into a short-form cooking tip. Instead of optimizing isolated blog posts, she started thinking more intentionally about how knowledge moved across her entire content ecosystem.

Before, every algorithm update felt personal because her visibility depended so heavily on one platform continuing to behave predictably. Once she stopped treating FAQ tactics as the foundation of her business, the pressure started easing. Her content became less about chasing search features and more about building a clearer, more adaptable publishing system underneath the work itself. Ironically, that structure ended up making her content stronger for both readers and machines anyway.

Maya still pays attention to SEO because search still matters. But now she sees structure differently. It’s the thing helping her recipes stay understandable, reusable, and discoverable as the internet keeps changing around them.

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The future may belong to interpretable content

Maybe FAQ sections were never really about FAQs. Maybe they were one of the earliest signs that creators were already learning how to structure information for machine interpretation long before most people realized that was happening. The systems doing the interpreting are evolving again, and honestly, I think we are entering an era where content strategy starts looking a lot more like knowledge design than traditional publishing.

This shift changes how creators think about authority, visibility, and even the purpose of content itself. Content increasingly needs to move clearly between humans, systems, and platforms without losing meaning along the way. The creators and organizations that adapt best probably will not be the ones producing the most content. They will be the ones building the clearest, most structured, most trustworthy, and most interpretable systems around their knowledge.

Maybe the FAQ section is not disappearing at all. Maybe it is evolving into proof that modern content now needs to communicate with both humans and machines at the same time. That’s a very different publishing environment than the one most creators originally learned to work within, and I think we are still early. We’re only just starting to see where this goes. Which means creators still have time to build more resilient systems before the next version of the internet fully settles into place.

Until next time…

See you next Friday.

A lot of creators and content teams still think they’re dealing with visibility problems, quality problems, or consistency problems. Sometimes they are. But as time goes on, what they’re really dealing with are interpretation problems and operational problems that are much harder to recognize. The frustrating part is that these issues rarely look structural at first, which is why so many people keep trying to solve them by producing more content instead of looking at the systems underneath the work itself.

Meet Daniel

Daniel lives in Tampa, Florida, where most mornings start the same way. Coffee on the counter. Laptop open before the sun fully settles over the water. Slack notifications already waiting for him before he’s even had breakfast. A few years ago, he was a marketing major trying to figure out how to combine his interest in branding, wellness, and digital storytelling into something that actually felt meaningful. That eventually became Pulse & Pine, a wellness brand focused on functional drinks, supplements, and educational content on everyday health routines.

At first, the business felt simple. Daniel handled the Instagram account himself, wrote the emails late at night, filmed short videos for TikTok, and answered customer DMs between packing orders. The content felt personal because it was personal. Every caption, campaign, and product page lived inside his head, which meant the business could move quickly without needing much structure. But as the company grew, so did the complexity surrounding the content.

Now Daniel is the content team, even though technically there are other people involved. There’s a freelance designer helping with social graphics, a contract copywriter handling newsletters twice a month, a part-time operations assistant scheduling content, and an agency supporting paid campaigns. Everyone contributes something to the workflow, but Daniel still acts as the central connection point between all of it. Every approval, update, clarification, and messaging adjustment eventually flows back through him.

By Tuesday morning, he already has multiple Slack threads open with people asking questions about approvals, messaging, timelines, and which version of the copy is actually the latest one. One person is updating the website while another is scheduling the newsletter, and social media is still using older messaging because nobody realized the positioning changed during yesterday’s meeting. A product launch graphic is using outdated language from two weeks ago because the latest revisions were buried in comments inside a Google Doc nobody reopened. Everyone on the team is smart, capable, and working hard, but the workflow itself keeps creating confusion.

Nothing inside Pulse & Pine looks broken from the outside. Campaigns still go out, gets published, and meetings still happen. But underneath all of that, it’s still pretty messy because the operational system supporting the content was never designed to handle the level of coordination modern content requires. After a while, Daniel starts treating constant clarification as a normal part of the job instead of recognizing it as a sign that the system itself is struggling to keep up.

Why this is becoming more common

One of the biggest changes happening right now is that content no longer lives in one place or moves in one direction. A blog post might also become a newsletter, a social campaign, an AI summary, a product recommendation, a shopping integration, or part of an internal knowledge system. The problem is that many workflows still operate as if content only has a single destination. That disconnect creates operational stress that most teams feel long before they fully understand what’s causing it.

What makes this difficult is that operational complexity rarely announces itself clearly. Most people experience it as duplicated work, endless revisions, unclear ownership, inconsistent messaging, or the feeling that everything somehow takes longer than it should. When that pressure builds, the instinct is usually to publish more, move faster, add another platform, or introduce another tool into the workflow. But scaling output does not fix systems that were never designed to scale in the first place.

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Structure is becoming something much bigger

Before we get into what “Create with Structure” looks like in practice in the COSE™ framework, I think it’s important to pause on why this matters beyond formatting or workflow optimization. A lot of creators and teams are trying to improve outputs without realizing the environment around content has fundamentally changed. If we skip that part, structure can start sounding like just another publishing tactic instead of what it’s increasingly becoming: operational infrastructure for modern content systems.

This is why I keep coming back to structure, even though I think the conversation around it is starting to outgrow SEO and formatting entirely. Structure is increasingly about helping people, systems, and platforms interpret the same information consistently as content moves across different environments. Without that understanding, every platform, team member, and workflow has to reconnect meaning manually every single time content changes. That hidden coordination work is becoming one of the biggest sources of friction in modern content operations.

I also think this explains why so many content professionals feel exhausted right now, even when they’re incredibly good at what they do. A lot of people entered content work expecting to focus on storytelling, publishing, creative campaigns, or audience growth. Instead, many now find themselves navigating workflows, governance decisions, platform limitations, AI tools, and cross-functional coordination challenges they were never really trained to manage. The work evolved faster than the language around it did.

The role itself is changing

There’s a strange identity shift happening across content work right now that I don’t think we talk about enough. Teams are still using old titles and old expectations to describe work that has become much more operational and systems-oriented underneath the surface. Creators are expected to think strategically, strategists are expected to understand platforms and workflows, and content teams are increasingly managing infrastructure whether they realize it or not. A lot of people are carrying systems-level responsibility inside roles that were originally built around publishing.

The creators and teams that stand out right now are the ones building systems where content can stay understandable, adaptable, and reusable as platforms continue changing around them. They understand that visibility is no longer just about publishing constantly but making sure content can move clearly between systems, audiences, and environments without losing meaning along the way.

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The future may belong to translators

I keep thinking that the future of content work may belong to translators more than specialists. Not translators in the language sense, but people who can connect creative thinking, operational systems, platforms, and human understanding in ways that reduce friction instead of adding more of it. The teams that adapt well will probably be the ones capable of building shared understanding across departments, workflows, and technologies without creating confusion every time something changes. That kind of clarity is becoming increasingly valuable.

Content is no longer operating inside one format, one channel, or one destination. The systems surrounding content now shape how it gets interpreted, distributed, reused, and surfaced long before audiences ever engage with it directly. The people who thrive in this environment will not simply be the fastest publishers. They’ll be the people who understand how content, systems, platforms, and communication all connect beneath the surface.

Join the early reader group for Create Once, Share Everywhere™

One of the hardest parts of writing this book has been making sure the ideas connect clearly across creators, teams, workflows, and systems without making the conversation feel overly technical. I want the book to feel useful for people actively navigating modern content work, not just theoretically interesting. That’s why I’m opening up an early reader group before the manuscript is finalized.

If you join the group, you’ll get early access to the manuscript before publication along with a short feedback survey. I’m not looking for polished reviews or praise. I want honest reactions about what feels helpful, what feels unclear, and what ideas genuinely shift the way you think about content systems and workflows. The goal is to make sure the book actually helps people navigate the complexity modern content work now requires. Sign up here.

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Paid subscriptions are coming June 1

Starting June 1, Blueberri Pi will introduce a paid subscription tier for readers who want to go deeper into the operational, strategic, and systems-thinking side of modern content work. The free edition will continue, but paid subscribers will get additional essays, behind-the-scenes framework breakdowns, practical system maps, workflow analyses, and deeper dives into frameworks that relate to structured content. I also plan to share more of the thinking, observations, and industry patterns that don’t always fit cleanly into the public Friday editions.

Paid subscriptions will launch at $8/month or $80/year. Founding subscribers will also receive early access to selected book materials, future workshops, and subscriber-only discussions around content systems, operational clarity, and the future of content work. If Blueberri Pi has helped you think differently about content, platforms, workflows, or visibility, upgrading will help support the research, writing, and long-form work I’m building this publication around.

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If we haven’t met, I’m Sandie.

Blueberri Pi is a systems-aware publication about content, platforms, operational clarity, and the people navigating the future of content work.

See you next Friday.

We’re moving from a world where visibility depended almost entirely on search, to one where systems now sit between you and your audience. People aren’t just searching anymore, they’re asking. And those systems are responsible for finding, interpreting, and delivering content in response.

This isn’t theoretical. AI tools are quickly becoming the starting point for discovery, not just an alternative to search. Instead of typing keywords into Google, users are asking full questions and expecting complete answers.

This week, I want to slow that down and make something clearer. Your content isn’t being understood.

Meet Leah

Leah’s based in San Antonio, filming out of her teal kitchen, the kind that feels warm even before the oven’s on. She didn’t think there was any problem with her content. Her recipes are solid. Her videos are clean. She’s consistent. Thoughtful. The kind of creator people should find.

This week, she’s filming a pistachio chocolate cake. Ring light on. Phone angled down.

Check. Check.

She’s smiling as she sprinkles crushed pistachios over the top, catching that perfect final shot she knows will land on Instagram. She’s done this hundreds of times. She’s what I call a High Output Creator.

But still, later that night, she’s staring at her numbers thinking, Why isn’t this working? That’s where you saw her last week. From the outside, everything looks right, but under the surface, her content is doing what most content does.

It’s being created to be watched…
not to be understood.

Her ingredients are in a paragraph.
Her steps live inside a story.
Her metadata is inconsistent.

To a person, it feels natural, but to a system, it’s unclear. And right now, systems are the ones deciding what gets seen.

Why “not understood” changes everything

The systems now shaping discovery don’t interpret content the way people do.

They don’t read context, infer meaning, or connect ideas across paragraphs. They rely on structure to make sense of what’s in front of them.

And we’re already seeing the effects of this. As more queries are answered directly by AI systems, click-through rates are declining. In some cases, content is being used without ever being visited.

When that structure isn’t there, things start to break down.

Ingredients get buried in paragraphs instead of being clearly defined. Steps are written as narratives instead of distinct actions. Important context is implied rather than explicitly labeled. Metadata is inconsistent or missing entirely.

To a human reader, this often feels natural, even engaging. To a system, it creates friction.

And that friction makes content harder to surface, harder to adapt, and harder to reuse across the environments where discovery is increasingly happening.

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Why more content isn’t fixing it

One of the most consistent patterns I see is how many creators are caught in a loop of producing more, posting more, without seeing the results they expect. There’s almost a fear of stopping. Even for a day. When performance dips, the instinct is to increase output.

But more content doesn’t fix a structure problem. It just scales the inefficiency behind it. That’s why this doesn’t feel like a structure issue. It feels like a visibility issue, or a platform issue, or even a quality issue. But underneath all of that, content is being created for people, but not for the systems now responsible for distributing it.

Where COSE™ actually starts

Last week, I introduced COSE™ as a framework: Create Once, Share Everywhere. But the shift doesn’t start with sharing. It starts with how content is built.

Structure isn’t something you layer on later. It’s the foundation that determines whether your content can move, adapt, and extend beyond a single format or platform.

And that matters even more now, as platforms begin to turn content into action. Tools like ChatGPT and Claude are already integrating with services like Instacart, allowing users to go from recipe discovery to grocery checkout in a single flow.

​​Without structure, your content can’t participate in that flow.

Without it, everything stays fixed in place. With it, your content becomes something that can be understood, reused, and distributed in ways that weren’t possible before.

A simple way to think about the difference is that most content is created in a linear flow—write, format, publish. Structured content takes a different approach—define, organize, then express.

What to look at this week

Take one piece of your content and look at it through this lens.

• Are the ingredients clearly defined?

• Are the steps separated and structured?

• Is key information labeled, or embedded in paragraphs?

• Could a system interpret this without guessing?

Those questions will tell you more than any metric right now.

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The book is coming together (and you can be part of it)

My favorite part of writing this book is also the hardest. Stepping back and making sure the ideas actually make sense, build in the right order, and are genuinely useful.

The next step is sharing the manuscript with an early reader group. If you join, you’ll get exclusive access to the manuscript before it’s published.

Quick SPOILER: It will have typos. It will have grammar issues.

That’s intentional. This isn’t about a perfect draft. It’s about making sure the ideas land.

Here’s where I need your help:

• You’ll have about two weeks to read it

• You’ll answer 10–15 questions afterward

And I’m not looking for praise.

I want to know:

• Is this helpful?

• Does it make sense?

• Does it actually move you forward as a creator?

If that sounds like something you’d want to be part of, you can sign up here.

In the next issue, I’ll break this down further and walk through what “Create with Structure” actually looks like in practice and how to start applying it without rebuilding everything from scratch.

We will focus on making sure what you already create works better.

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If we haven’t met, I’m Sandie.

Blueberri Pi is where I break down how food creators and content teams can make their work more structured, more discoverable, and more sustainable.

See you next Friday.

Not because nothing was happening—but because a lot was.

April pulled me out of writing mode and into rooms, conversations, and stages where I got to hear, in real time, what creators and content teams are actually dealing with right now.

I spoke at ConVex in Pittsburgh, led an Instacart Developer Masterclass, presented at Growing in Content, and went live on Substack with Yvette Marquez-Sharpnack, award-winning Mexican-American cookbook author, founder of Muy Bueno, and author of Cocina to Career. (Subscribe if you haven’t already!)

Even though they were different audiences and different formats, the same conversations kept coming up.

Creators are working harder than ever.
And still asking: why isn’t this working?

That’s the part I can’t ignore, because at the same time all of this is happening… the ground is shifting under the way content gets discovered.

A quick reality check

Instacart is now available inside Claude.

And it’s been integrated into ChatGPT since December. Which means something pretty simple, but easy to underestimate:

Home cooks aren’t just searching anymore. They’re asking.

They’re asking tools to:

• Find recipes

• Adapt recipes

• Build grocery lists

• Walk them through cooking

And those tools are pulling from structured, machine-readable content to do it.

So now your recipe doesn’t just need to rank on Google.

It needs to be understood by systems that:

• Don’t “see” your blog the way a human does

• Don’t scroll

• Don’t guess

They rely on structure.

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Why this matters (more than you think)

If your content isn’t clearly structured:

• Ingredients get missed

• Steps get flattened

• Context gets lost

And your recipe becomes harder to surface, adapt, or recommend because it’s not legible to the systems now shaping discovery.

This is what I kept hearing and speaking about, over and over again in April, just from different angles.

Creators are talking about traffic drops and inconsistent RPMs from ad revenue. Teams are talking about distribution challenges. Platforms are talking about integrations, but the same underlying issue persists.

Content is being created for people…
but not for the systems that now sit between you and your audience.

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This is where COSE™ comes in

If you’re new here, a quick orientation.

COSE™ stands for Create Once, Share Everywhere.
But more importantly, it’s a framework—not a tactic.

It’s a way to think about your content as something that:

• Starts with structure

• Can be reused without starting over

• Works across platforms (not just your blog)

• And actually connects to revenue

Most creators are stuck in a loop of:
create → publish → repeat

COSE™ breaks that loop.

It helps you:

• Make your content easier to understand (by both people and platforms)

• Easier to reuse (without rewriting everything)

• Easier to distribute across places like search, apps, and now AI-driven tools

Because the goal isn’t to create more content.

It’s to make the content you already create go further.

If you want a deeper breakdown, start with this guide to the COSE™ framework.

Over the next few issues, I’ll walk through how this actually works in practice. I want to give creators a better way to make their existing ideas work in more places.

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A quick update on the book

As you know, the first draft of Create Once, Share Everywhere™ was done last fall.

Since then, I’ve been heads down in developmental editing, which is less about fixing grammar and more about strengthening the thinking behind the book.

It’s where I step back and ask:

• Does this actually make sense for the reader?

• Are the ideas building in the right order?

• Am I explaining this in a way that’s clear, not just correct?

It’s slower work, but it’s the part that turns a draft into something genuinely useful.

The manuscript is coming together, and I’m planning to send it to an early reader group in early summer. This part matters to me. I don’t wanna just get feedback; I wanna make sure what I’m building actually reflects what creators need right now, not what I think they need.

Over the next few weeks, I’ll be reaching out to creators who want to be part of that early reader group. If that’s you, keep an eye out.

Don’t call it a comeback. I’ve been here for years, and I’m just getting started.

If we haven’t met, I’m Sandie. Blueberri Pi is where I break down how food creators and content teams can make their work more structured, more discoverable, and more sustainable.

See you next Friday.

The flu had other plans.

Sometimes the best thing you can do when you’re sick is step away from the screen and let your brain rest instead of forcing ideas onto a page. The funny thing is, when you build your content well, it keeps working even when you’re not.

That’s something I’ve been thinking about a lot lately. Not just because I was sick, but because I’m deep in the editing phase of my book right now.

Yes, the book is still happening. All the words are written. Now I’m in substantive editing with my editor, the wonderful AJ Harper.

AJ’s job isn’t to change what I’m saying. The ideas and words are still mine. But she helps make sure the book actually serves the reader. She’s the one gently reminding me when I repeat myself, when I lean too hard on punctuation (apparently I really love colons), and when an idea needs to be clearer.

Her core philosophy is “A book isn’t about something. It’s for someone.”

This book I’m writing is for you.

I originally hoped to release it this year. But at some point, I realized rushing the timeline wouldn’t serve the people I’m writing it for. I get one shot to make this book right. So I pushed the release six months.

That felt like the least I could do.

My goal with this book isn’t just to explain the COSE™ framework. I want to show you what it looks like in practice as I build my own creator ecosystem.

Create with structure.
Organize for repurposing.
Share with intention.
Expand for reach and revenue.

Every step of my own work is part of that process and one part of the framework has been especially on my mind lately: organize for repurposing.

Because once you start looking closely at how content moves across the internet, something strange becomes obvious. Most content isn’t actually reused, it’s rewritten.

The rewriting cycle

Think about how most recipes move across the internet.

A creator writes a blog post. Someone summarizes it for social media. Someone else adapts it into a video. A platform reformats it into its own structure, and another platform extracts pieces of it for search results. At every step, the same content is interpreted again and again. Instead of moving cleanly through systems, it gets translated repeatedly, which is why so much effort online feels duplicated. Creators feel it first, but they’re not the only ones dealing with it.

The moment your blog becomes a business

If you’ve advanced your blogging business beyond just yourself, you likely have a content team now.

Maybe it’s a VA uploading recipes, someone helping with photography or editing, someone managing Pinterest or social media, or developers and SEO specialists helping behind the scenes. The moment multiple people touch your content, something important changes: content stops being a personal workflow and becomes infrastructure.

Infrastructure needs structure. Without it, every person on the team ends up reinventing the same work in slightly different ways. Descriptions get rewritten, instructions get reformatted, metadata gets added inconsistently, and content gets copied from place to place. The system itself was never designed for reuse.

This isn’t just for creators

The exact same thing happens inside companies.

Content teams rewrite the same product descriptions across multiple channels, marketing teams rewrite the same explanations for every campaign, and product teams rewrite documentation every time a feature launches. Everyone is working from the same information, but without structured content that information has to be recreated every time it moves. Instead of flowing through systems, content becomes a constant rewriting project, and the bigger the organization gets, the more expensive that cycle becomes.

Creators just feel it sooner.

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Structure changes how content moves

Structured content changes the model. Instead of writing everything as a single block of text, the content is organized into meaningful pieces, however those pieces mean for you. Each piece becomes data that systems can understand. When that happens, the same content can move across platforms without being rewritten every time.

If your content is food, your recipe can appear on your website, a cooking app, a search result, or a voice assistant without someone manually reformatting it. The content is still yours.

But it’s now designed to travel.

Meet Gus

Gus is a zillennial food creator from North Carolina.

That’s not actually his real name. People started calling him ‘Gus’ when he was a kid, and it just stuck, in a way that nicknames have no rhyme or reason; they just exist.

He grew up crabbing with his family and spending summers in the Outer Banks, surrounded by the kind of coastal food that shows up around picnic tables and paper plates: fried seafood, hushpuppies, crab boils.

A few years ago, he was diagnosed with celiac disease, so he started doing what many creators do when life shifts: he began recreating the food he grew up eating. Gluten-free hushpuppies, crab cakes that still hold together, fried shrimp with a coating that actually crunches. Most people discovered him on TikTok at @OuterBanksGus, where he films the process of figuring those recipes out.

Recently, he also started a Substack called Crab Pots & Cornmeal, where he shares more of the behind-the-scenes thinking behind his recipes and the experiments that lead to them. Like many creators, Gus didn’t set out to build a content system. He just wanted his recipes to work everywhere his audience found him.

What Gus started doing differently

At first, Gus handled his content the way most creators do. Every recipe he created slowly turned into multiple versions of the same thing: a blog post, a TikTok caption, a newsletter explanation, and a handful of social posts. The information was the same each time, but the format kept changing, so he found himself rewriting the same ideas again and again.

Over time, he realized he needed to organize his content better. Each recipe lived as a single block of text that had to be reshaped every time it moved somewhere new.

So Gus tried something different. Instead of writing everything as one long story, he began organizing his recipes into clear parts before publishing them: ingredients, instructions, substitutions, cooking tips, and short explanations of why the recipe worked.

Once those pieces existed, the same recipe could show up in different places without being rewritten. The structured recipe powered his website, a short tip became a TikTok clip, the story behind the dish became a Substack post, and a substitution tip turned into a social caption.

Nothing about the recipe itself changed. What changed was how the content was organized.

Instead of rewriting the same information over and over, Gus started assembling it from pieces that already existed.

That shift is the difference between publishing content and building a content library. When your content is organized for reuse, every new piece you create becomes something you can use again later.

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Why this matters right now

Food creators are already seeing this shift. Recipe platforms ingest structured recipes, search engines pull structured fields into results, and apps are building new cooking experiences using creator content. Often, creators don’t even realize their content is being interpreted this way because it happens behind the scenes.

Structured content already shapes how recipes move across platforms, but creators should understand how that system works. Because once you understand it, you stop rewriting your content.

If you want help thinking through your content system

Many of the strategy calls I have with creators start with the same realization: they’ve built a lot of content, but the system underneath it wasn’t designed for reuse. If you want help thinking through how your recipes, platforms, and audience could work together instead of feeling scattered, book a Food Tech Strategy Call. Sometimes one conversation is enough to see the system differently.

If you enjoy thinking about the systems behind food content, you can also explore more on the Blueberri blog, where I dive deeper into structured content, recipe platforms, and the future of food tech.

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The internet is full of incredible recipes, stories, and ideas. But too often those ideas live as isolated posts instead of connected systems. When content is organized well, it doesn’t just get published once. It keeps working for you across platforms, formats, and audiences.

That’s the shift I’m exploring more deeply as I finish editing the book, and it’s something I’ll keep sharing here in Blueberri Pi as well. Once you start seeing how content systems work, you can’t unsee it.

And when you understand the system, you stop rewriting the internet.

Until next time.

Your friend in food,

From the outside, it looks disciplined. From the inside, it can feel like things could fall apart any minute.

If feels like if they stop, everything slows down.

Traffic softens. Engagement dips. Email growth flattens. Nothing explodes. There’s no dramatic crash. Just a subtle shift. Enough to make someone check analytics again (and again) before closing the tab.

The response is almost always the same. Post more. Share more. Tighten the cadence.

Consistency stops being a strategy and starts feeling like insurance.

This issue of Blueberri Pi is about the difference between consistency and durability and why so many creators are carrying more weight than they need to.

The promise of consistency

For more than a decade, creators have been told that consistency is the key to growth. Show up regularly. Feed the algorithm. Stay relevant.

The advice isn’t wrong. Consistency builds familiarity. It trains audiences. It signals reliability to platforms.

But it also creates dependency.

When visibility depends mainly on frequency, presence becomes conditional. The moment output slows, discovery slows with it. The model rewards stamina.

Momentum can look impressive. It can feel productive. It can even be energizing for a season. But momentum requires constant push. From you.

Structure distributes the load.

Many creators think they’re building structure when they’re really just maintaining momentum. The difference shows up the first time they need to rest.

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Meet Lex

Lex runs a food blog centered on weeknight meals for working parents. Her recipes are practical, thoughtful, and deeply reliable. She publishes twice a week, sends a newsletter every Friday, and is super consistent and present across platforms.

From the outside, her business looks stable. From the inside, she feels tied to it like a prisoner.

Last summer, she took three weeks off to travel with her family. Nothing dramatic happened. No algorithm warning. No catastrophic drop. But traffic softened. Email growth stalled. A brand conversation cooled.

Just enough to notice.

When she returned, she increased her output. More posts. More short-form video. More reminders that she was still there.

The numbers recovered. The tension didn’t.

What Lex was experiencing was exposure. Her visibility relied on her actively working on it. When the activity paused, so did the lift.

And lift that depends entirely on motion will always require more motion. Physics has been clear about this for centuries. Newton covered it in the 1600s. We’re just rebranding it as content strategy.

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Output vs. infrastructure

Her content performed well when it was new. It circulated, generated engagement, and then settled into her archive. There was no intentional pathway guiding readers from older work to newer pieces. No built-in mechanism for resurfacing recipes seasonally. No connective thread that allowed her archive to build on itself.

The content existed. It was good. It was useful.

But it wasn’t designed to support itself.

Consistency was filling the gap where structure should have been.

When one pillar carries the entire system, fatigue follows.

A quiet diagnostic

If you stopped publishing for 30 days, what would continue working for you?

Would your most popular recipes still surface in search? Would older posts clearly connect to newer ones? Would your email list continue to grow because your entry points remain visible and relevant?

Or would everything feel paused, waiting for you to press play again?

There’s no judgment in the answer. But the answer tells you whether you’re operating on momentum or infrastructure.

Durability isn’t measured in posts per week. It’s measured in what still functions when you log off.

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Why “just keep posting” eventually stops working

Momentum can carry a creator through several growth seasons. It builds awareness. It drives spikes. It can feel like progress.

But without structure underneath it, momentum becomes maintenance.

When traffic dips, many creators increase frequency. When engagement fluctuates, they pivot formats. When partnerships slow, they promise themselves they’ll “just stay consistent.”

It starts to feel less like strategy and more like cardio.

Search visibility depends on whether platforms can clearly understand what your content is. Repurposing depends on organization. Cross-platform distribution depends on intentional formatting. When those foundations are thin, sharing absorbs the strain.

Consistency becomes preservation instead of expansion.

And preservation is just exhausting.

What sustained visibility feels like

The creators who experience stability describe something different. They still publish. They still evolve. They still pay attention to platforms.

But they don’t feel punished for resting.

Their archive supports discovery long after publication. Their content connects clearly across platforms. Partnerships feel aligned rather than reactive. Email growth is supported by work published months ago.

Consistency amplifies their system.

It doesn’t replace it.

There’s a calm that comes from that shift. The kind of calm that doesn’t spike every time a platform updates or a new format trends. We’ve lived through enough platform cycles to know that surface mechanics change. Underlying structure doesn’t.

Durability has a different feel than momentum. It’s steadier.

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The COSE™ Effect

Within COSE™, “Share with Intention” is only one pillar. When creators lean heavily on sharing without strengthening structure and organization, they place too much pressure on visibility tactics.

Sharing with intention doesn’t mean posting everywhere. It means choosing where you want to be found and formatting your content so it performs in that specific environment. It means distributing with a clear role in mind — discovery, authority, partnership, revenue — rather than posting to stay visible.

Structure makes content interpretable to platforms. Organization ensures work can be reused and resurfaced. Sharing places that work in the right environments, at the right moments, for the right reasons. Expansion connects it to revenue and opportunity.

Remove structure and organization, and sharing becomes overworked. It turns into constant motion without compounding lift.

Balance restores durability.

COSE exists to redistribute that weight so no single pillar carries the entire business.

Try this (15 minutes)

Open your analytics and filter by content older than 6 months. Identify which pieces continue to generate meaningful traffic.

Then ask:

Where does each of those pieces lead?
What related work is clearly connected?
If you stopped publishing for one month, what would continue functioning without intervention?

These questions shift the focus from discipline to design.

They also reveal where your system is already working, and where it needs reinforcement.

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The real goal

The goal is to build differently.

Consistency builds rhythm and trust. It will always matter. But sustainability is built beneath it. It requires content designed to travel, connect, and resurface without constant manual effort.

We’re not trying to trend. We’re building careers. You’re building legacy.

If you’re realizing your visibility depends more on motion than design, that’s exactly the gap COSE™ was built to close.

The COSE™ course walks you through how to:

• Structure content so platforms can interpret it

• Organize your archive for reuse and resurfacing

• Share with intention instead of urgency

• Expand into revenue without adding chaos

Enrollment opens March 1.

If you’re ready to build lasting power instead of momentum, you can learn more here:
→ https://www.blueberri.co/cose-course

Blueberri Pi exists because food creators deserve systems that don’t depend on burnout to survive.

Keep building to make your content last.

Your friend in food 💙

And across all of it, I’ve watched the same pattern repeat, regardless of platform, audience, or scale.

Food content rarely fails with a loud crash.

More often, it fades. A recipe performs once, then quietly disappears. A video finds an audience, but nothing builds on it. A post does “well,” yet leaves no trace of where it should lead next. The work continues, the effort remains, but the momentum slips out of view.

This kind of quiet drop-off is confusing, especially for creators who are still showing up, still publishing, still doing what they were told works. Formats get tweaked. Platforms get tested. Output increases. The assumption is usually that the problem is effort.

It rarely is.

The harder question, the one that tends to surface only after frustration sets in, is not about reach or algorithms or optimization. It is more foundational than that.

What, exactly, is being built?

This issue of Blueberri Pi is a step back. A pause to revisit the framework that underpins everything I teach and write about content systems: Create Once, Share Everywhere™ (COSE). Not as a tactic or a trend, but as an operating system for work that is meant to last.

Meet Elena

What this looks like in practice is easiest to see through a creator who isn’t starting from scratch, but is still building with intention.

Elena is a food blogger with a new short bob for 2026 and a quiet confidence that comes from knowing her brand.

She makes breakfast arepas that feel effortless but intentional:cornmeal mixed just right, fillings that nod to her heritage, plated simply and clearly. Her recipes show up on recipe platforms. They get saved. They get cooked. They travel.

But Elena doesn’t just “post recipes.”

She negotiates partnerships, maintains an email list, and collaborates with brands.
She shows up on LinkedIn when she wants to be taken seriously outside the food space.

From the outside, it looks like she’s doing a lot.

From the inside, she used to feel as if she were managing four different versions of herself.

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What changed for Elena

What Elena was experiencing isn’t unique, but she didn’t pivot or niche down further. She didn’t abandon parts of her business either.

She started treating her content as the connective tissue.

Her recipes weren’t just outputs anymore. They became anchors.

Each recipe was designed to:

• Support discovery on platforms

• Reinforce authority for partnerships

• Feed her email list with context, not repetition

• Exist as part of a recognizable body of work

Once that happened, decisions stopped feeling random.
She started asking, “What role does this play?”

That’s when things started to feel lighter.

The COSE™ Effect

COSE™ works because it connects what’s already there. I pronounced COSE™ as k-oz. Just in case you were wondering.

I use the word pillar when I talk about COSE™ for a reason. It’s because creators are often operating inside silos:

• SEO over here

• Partnerships over there

• Monetization in one corner

• Email doing its own thing

COSE™ reveals what’s already true.

When content is structured intentionally, it doesn’t just publish.
It supports. It connects. It compounds.

That’s The COSE™ Effect.

“How do you know you’re doing COSE™?”

I get asked this a lot.

Frameworks can get you the side eye, especially in an industry crowded with methodologies promising clarity and control. People want proof. Case studies. Before-and-after screenshots.

But the creators who are most successful with COSE™ rarely describe their work in those terms.

They talk instead about cohesion; things fitting together and a sense of ease and purpose. About content, finally feeling connected. About knowing what a piece is for before it is published. About no longer feeling pressure to be everywhere at once. About being able to explain, clearly, why something exists and where it belongs.

You know you are “doing COSE™” when your content starts to hold together without constant intervention.

You know you’re doing COSE™ when:

• A recipe doesn’t need to be explained five different ways

• One piece of work clearly leads to the next

• Partnerships feel aligned instead of bolted on

• Your content holds its shape, even when platforms shift

When content stops being the thing you constantly prop up and starts being the thing that holds everything else.

COSE™ exists to reduce that disconnect.

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Can a creator be more than one thing?

Yes. Full stop.

Creators can teach and entertain. They can pursue partnerships and develop their own products. They can care about search visibility, emotional impact, and connection with readers.

Over time, many creators find their work split into functional silos. Partnerships live in one mental bucket. Ad revenue in another. SEO work here. Email marketing there. Social content is scattered across platforms, optimized differently, measured separately, and rarely connected back to a central purpose.

COSE™ exists because content should not feel like a collection of disconnected squares.

Each piece is different in texture and function, but they are stitched together by a single thread. That thread is content: created with structure, organized for reuse, shared with intention, and expanded for reach and revenue.

When that thread is missing, the work doesn’t disappear, it just doesn’t matter anymore.

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Why COSE™ is built on pillars

I use the word pillar deliberately.

Each component of COSE™ carries weight, but none is sufficient on its own. Structure without intention becomes rigid. Sharing without organization becomes exhausting. Monetization without cohesion becomes brittle.

Pillars work together. Remove one, and the system begins to strain.

This is why COSE™ is not a checklist. It’s not a publishing workflow or a growth hack. It’s for creative work that acknowledges how content actually moves through platforms, audiences, and revenue systems over time.

The four pillars—Create with Structure, Organize for Repurposing, Share with Intention, and Expand for Reach and Revenue—exist because creators struggle because one pillar is often forced to compensate for the absence of another.

Try this (15 minutes)

Open one recent recipe or piece of content and ask:

• What does this support beyond itself?

• Where does it naturally belong?

• What should it lead to next?

Structure doesn’t limit creativity.
It gives it somewhere to live.

If you want to go deeper

This framework exists because creators kept asking the same questions in different forms:
Why does my work feel scattered?
Why does success in one place not translate elsewhere?
Why does everything rely on me holding it together?

COSE™ is how I help creators move from managing content to designing systems.

You can learn more about the framework here:
→ https://www.blueberri.co/cose

And if you’re ready to apply it step by step, I’m opening the first 4-week cohort of the COSE™ course on March 1.

For creators who want support in applying this framework to their own work, the COSE™ course is a practical extension of this thinking. It is designed to help creators see their content as infrastructure rather than output, and to build systems that can evolve without breaking.

The course is for those who want:

• their content to work across platforms without duplication

• partnerships, SEO, and email to feel connected—not siloed

• systems that reduce re-explaining and reworking

• a clearer sense of what each piece of content is actually for

You can learn more about the course here:
→ https://www.blueberri.co/cose-course

Blueberri Pi exists to help food creators understand the systems shaping discovery—and to remind you that you’re not building alone.

Start structuring your content so that it’s built to last. No burnout required.

Your friend in food 💙

I want to smooth the anxiety, untangle the mess, and send them away feeling lighter.

But I can’t do that.
And actually, I don’t have to.

What creators actually need isn’t someone to carry the work for them.
They need tools that help them carry it forward without me.

That distinction has been on my mind all week.

The moment I felt seen

I was at a content strategy meetup this week. One of those happy hour conversations that somehow turns into a very nerdy exchange over burgers and fries. I was so tired and almost didn’t go, but in-person meetups 15 minutes away from home hardly ever happen.

We talked about:

• UI vs. UX

• PINs vs. passwords

• microcontent: the tiny decisions that shape whether something works or fails in a big way

At one point, someone asked about my specialty, and I said, “I work in food tech.”

They paused and replied with something that I quickly typed in my Notes app:

“Content is the purpose.”

Not the stylized cover. Not the thing you optimize after the fact.
The reason everything else exists.

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Why that matters (especially for creators)

So often, content gets treated like a byproduct:

• something to post

• something to fill a slot

• something to support real goals like traffic, revenue, or growth

But when content is treated as secondary, everything built on top of it starts to wobble.

UX decisions get disconnected, monetization feels bolted on, and platforms feel unpredictable instead of understandable.

When content is the purpose, structure starts to make sense.
So does distribution.
So does longevity.

What this looks like in your work

When creators struggle, it’s rarely because they aren’t trying hard enough.

It’s because their content is being asked to do too many things without a clear role.

One recipe is meant to attract new people.
Another is meant to deepen trust.
Another supports a partnership.
Another sustains an email list.

If content doesn’t have purpose, creators end up compensating with effort.

Posting more.
Explaining more.
Reworking things that aren’t actually broken.

Purpose reduces that friction.

How I actually help

In my consultations, I don’t need to fix everything.

My job is to help creators see:

• how their content actually functions

• where it already works harder than they think

• and where a little structure can unlock a lot more clarity

That’s the difference between reassurance and empowerment.

One fades when the call ends.
The other keeps working long after.

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Try this (10 minutes)

Before you publish your next piece of content, ask one question:

What is this for?

❌ Not:

• How will this perform?

• Where should I post it?

✅ But:

• Who does this serve right now?

• What should it support next?

If you can answer that, you’re already doing the work that lasts.

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Why you need a community, too

That meetup mattered because of the shared language.

When creators, strategists, and builders can talk about content and the human feelings behind it, the work gets lighter. Not easier, but clearer.

And this awareness is what helps you keep going.

No matter who helps you get where you want to go, don’t forget to find your community.

Blueberri Pi exists for moments like this—when the work feels heavy, the answers feel incomplete, and what you really need isn’t advice, but orientation.

You don’t need someone to fix your content.
You need ways to understand it.

That’s what structure gives you.
That’s what community makes possible.

If this resonated, you’re already asking better questions. I’ll be here next Friday. And if this resonated, you’re already asking better questions.

I’ll be here next Friday.

Your friend in food,
Sandie 💙