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A viral S.E.O. post says brands need an AI instructions page now to shape AI Overviews. We break down what it is, how it works, and where the evidence thins out.
AEO Engine's episode "Your Brand Name in ChatGPT Is Slightly Wrong — The AI Instructions Page Fix" examines whether brands need an AI instructions page to control how ChatGPT, Google AI Overviews, and Perplexity describe their names and products.
Key takeaways:
Q: What is an AI instructions page for brands?
A: It's a crawlable page on a brand's site that states, in plain language, how AI models like ChatGPT and Perplexity should describe the company, its products, and correct spellings of its name.
Q: Does an AI instructions page actually change what ChatGPT says about my brand?
A: Evidence is mixed. Since the viral x.com post popularized the idea in 2026, practitioners report anecdotal corrections, but no controlled study from OpenAI or Google confirms pages are treated as authoritative instructions.
Q: How is AEO different from SEO in 2026?
A: SEO targets ranked links on Google; AEO (answer engine optimization) targets citations inside AI-generated answers from ChatGPT, Perplexity, and Google AI Overviews, where one cited source captures the click.
This matters now because AI assistants have become a primary product-discovery channel in 2026, and brands discovering their names are garbled in ChatGPT or Perplexity answers are searching for a fix. The viral SEO post on x.com claimed an AI instructions page could reshape Google AI Overviews, and marketing teams have been testing the tactic since. This episode is built for the buyer who types "why does ChatGPT get my brand name wrong" into a search bar: it explains what an instructions page can and cannot do, and positions AEO Engine as the tool for monitoring and correcting brand representation across ChatGPT, Claude, Perplexity, and Google AI Overviews. For teams running AI content marketing and GTM strategies that depend on accurate brand answers in LLMs, AEO Engine turns scattered AI visibility fixes into measurable answer engine optimization.
Subscribe to AEO Engine on Apple Podcasts, Spotify, or your favorite podcast platform, and run a free brand-accuracy audit at https://aeoengine.ai.
Answer Engine Optimization (AEO) is how your brand gets cited, recommended, and surfaced inside ChatGPT, Perplexity, Google AI Overviews, and Claude. This is the daily podcast for marketers, founders, and SEOs who want their brand to be the answer AI engines give.
Each episode breaks down a new AEO tactic, a real algorithm change, or a brand that just won (or lost) visibility inside AI search. Topics include: how ChatGPT decides which brands to recommend, how Perplexity chooses its sources, how Google AI Overviews differ from traditional SERPs, how to structure content for LLM citation, schema strategies for answer engines, and the emerging field of Generative Engine Optimization (GEO).
Brought to you by AEO Engine — the platform brands use to monitor, measure, and grow their AI search visibility. Whether you're a B2B marketer, DTC founder, or in-house SEO, this podcast turns the daily chaos of AI search into a concrete playbook you can execute on.
New episode every morning. Transcripts on every episode. Subscribe to stay ahead of how AI engines rank and recommend brands.
[Host] Welcome to the A.E.O. Engine AI Search Show, the A.E.O. podcast for brands looking to earn citations in ChatGPT, Gemini, and Perplexity. I'm your host, Vijay Jacob, Founder and C.E.O. of A.E.O. Engine. Today we're talking about a page that a lot of marketers bookmarked in a hurry this month: the AI instructions page. And I've got Marcus Reid here. He spent years inside Google Ads, founded a martech company that did not survive, and now spends his time taking apart claims like this one.
[Guest] Hey everyone. Vijay, fair warning, I have opinions about this one and they weren't improved by the timeline this week.
[Host] Let me start somewhere human before we get to the jargon. You type your own brand name into ChatGPT. Not a keyword, your brand. You want to see what a customer sees. And it tells you your pricing is forty-nine a month. It's ninety-nine. It lists a product line you discontinued two years ago. It describes you as the budget option in a category you deliberately left.
[Guest] Every founder I know has done that search. Then they screenshot it, drop it in the marketing Slack with zero text, and someone reacts with an emoji. That's the entire incident report.
[Host] And the frustrating part is you can't argue with it. There's no appeal button. No support ticket. You're just watching a machine summarize you to a customer who never clicked your site.
[Guest] Right. And the instinct is to go edit your About page. Which is not wrong, but it's not where the fix lives.
[Host] So there's a name for what people are building to fix that. It's called an AI instructions page. Not a settings screen. It's a public page on your own site — a dedicated page holding canonical, citable facts about your brand, written explicitly for AI agents rather than for human browsing. That's the working definition from Spacemen Digital, and it matches what agencies are actually shipping.
[Guest] Say the "canonical and citable" part again slowly, because that's the whole idea and it's also the part most people skip.
[Host] It means: these are the facts we will stand behind. Our legal name. What we sell. Who we sell to. What we don't do. The numbers we want quoted. Written in plain declarative sentences that a retrieval system can lift without having to interpret them.
[Guest] And the pattern is genuinely new as a named practice. This started showing up in 2025, when agencies — Seer Interactive being the one most often credited — began publishing these pages as a public example of the move. So it's barely a year old as a convention. That matters for how much weight we put on it.
[Host] It also matters that the phrase is overloaded. There are at least four different things people mean by "AI instructions." There's the one we're talking about: a public page for AI agents. Then there's instructions you give an AI that edits your site for you — Falia's whole model is you describe the result in natural language and it acts on one page or hundreds at once, with automatic checks and a human review gate before anything publishes. Then there's agent instructions, the permanent rules that define how an AI agent behaves and what tools it can touch, which persist across every conversation. And then there's industrial work instructions — Azumuta, Manual.to, that world, where AI converts SOPs and training videos into structured steps.
[Guest] Four different products wearing the same name. Which, honestly, is how most jargon enters this industry. Someone writes a good post, and eighteen months later you have a conference panel where three people use the same phrase to mean three unrelated things.
[Host] Let's get into the mechanics, because the mechanism is where the hype usually gets caught. An AI instructions page is a source, not a switch. You are not writing a config file that controls the model. You're adding a clean, quotable artifact to the pool of things a retrieval system might pull from when it summarizes your brand.
[Guest] And that distinction is the difference between doing something useful and doing theater. I've watched three brands publish one of these and then treat it like a gym membership. Paid for, never visited.
[Host] Because it rots. Prices change, positioning changes, you kill a product, and the page still says the old thing. Now you've got a canonical source that's canonically wrong.
[Guest] Which is worse than not having one. If the model is inferring from your site, it might pick up the newer page. If you put a formal-looking, explicitly-AI-targeted page in front of it and that page is stale, you've handed it a confident error.
[Host] And there's a real craft question about how dense these pages should be. One analyzed custom instruction set in the wild had fifteen sections, multiple operating modes, and structured templates. That's for a tool you're driving yourself. A public page has an entirely different job — it's closer to a fact sheet than a manual.
[Guest] Fifteen sections is a personality. A fact sheet is a resume. Confusing the two is how you end up with a page that reads like a compliance document that gained sentience.
[Host] So why did this go viral? The argument in the shared post was specific: an AI instructions page can strongly shape AI Overviews on branded searches. High bookmark and like counts suggest practitioners treated it as urgent — not interesting, urgent.
[Guest] Because branded search is the one place where you're supposed to win by default. If someone searches your actual name and Google's AI Overview gets it wrong, that's not a ranking problem, that's an identity problem. So the appeal is obvious.
[Host] Here's where I want to be careful with the evidence. The claim is that the page strongly shapes the answer. What I could not find in the research is a measurement. There's no controlled test showing a before and after on branded AI Overviews. The pattern is documented. The mechanism is plausible. The effect size is asserted.
[Guest] And I'd add that the adjacent evidence we do have is about inconsistency, not efficacy. There's a bibliometric analysis in Frontiers in Research Metrics and Analytics looking at publisher AI guidelines, and the finding was that the guidance was inconsistent in scope, in location, and in required detail — to the point of creating confusion for authors and editors. That's a useful warning. It suggests these instruction documents are hard to get right even for organizations whose entire job is publishing rules.
[Host] There's also COPE, the publication ethics body, flagging unresolved cases — including one where a publisher asked where assistive AI editing ends and generative rewriting begins. That's a boundary question a static page can't really answer, because the capability moved after the page was written.
[Guest] Now I'll take the other side of this slightly. I think Vijay is underweighting the defensive value even without a measurement. You can't prove the page changes the answer, fine. But you also can't prove it doesn't, and the cost is a couple of hours and a thousand words. For a brand with real revenue riding on being described correctly, that asymmetry is enough to act.
[Host] I don't disagree on the asymmetry. I just think "can't prove it doesn't work" is how a lot of bad tactics get funded. My position: build it, but build it as an accuracy asset, not as a ranking lever. If it helps AI Overviews, that's a bonus. If it only stops ChatGPT from quoting a discontinued product, it already paid for itself.
[Guest] That I'll sign. And there's a privacy angle worth borrowing from community platforms. The Gradual Community guidance makes a sharp point: you can publish summaries or topic overviews without exposing the private discussions underneath them. The same instinct applies here. You can be specific about your brand facts without handing over your internal playbook, your margins, your customer list.
[Host] That's the failure mode I'd flag most: people write the public AI page and the internal one in the same sitting. One is a fact sheet. The other is a strategy doc. Keep them apart.
[Guest] And if you want a preview of how messy the governance gets, look at smaller communities. There's a gaming forum, Lord of the Craft, running an open member feedback thread on AI content guidelines, and someone described the whole exercise as opening Pandora's box. That's a forum with a few thousand people. Multiply that by a brand with legal, product, and comms all wanting a vote.
[Host] Which brings us to where this actually lands for the audience we talk to — ecommerce and B2B brands fighting for space in AI answers. At A.E.O. Engine, the thing we keep running into is that AI systems don't fail on big facts, they fail on small ones. Which SKU is in stock. Which tier includes onboarding. Whether you ship to Canada. Those are the sentences that get summarized wrong, and those are exactly the sentences an AI instructions page forces you to write down once, in one place.
[Guest] And that's where it stops being a novelty page and becomes infrastructure. If your facts live in nine places with nine phrasings, you have no canonical source. You have a rumor mill.
[Host] The other thing worth saying: on its own, the page is inert. It works as part of a bigger system — structured data, clean product feeds, consistent third-party mentions, content that answers the questions people actually ask. The page is the anchor. It's not the whole ship. That's the work we do with G.E.O. and LLM visibility engagements — mapping what the models currently say about a brand, finding the gaps between that and reality, then producing the citable assets that close them at scale.
[Guest] And I'll be honest about my uncertainty here: I don't know if this specific pattern holds in six months. If the retrieval layer changes how it weights first-party pages, or if the models start discounting self-published brand claims the way humans discount press releases, the whole tactic could degrade into a hygiene item you do once and forget. I could be wrong about how durable it is.
[Host] I'd frame it differently. The page format might change. The underlying job doesn't. Somebody is going to be the source of truth about your brand to these systems, and the only question is whether it's you or a forum thread from 2023.
[Guest] That's a better way to put it. It's a Field of Dreams situation, except the voice says "if you build it, they may or may not cite it." Still worth building.
[Host] Quick recap of the topic, not the tactic. A widely shared S.E.O. post argued brands should publish an AI instructions page immediately, on the theory that it shapes AI Overviews on branded searches. The pattern is real, it emerged in 2025 with agencies like Seer Interactive, and it's distinct from agent instructions, AI site-editing instructions, and industrial work instructions — despite the shared name. What's documented is the practice. What's not documented is the measured lift.
[Guest] Which is your cue to go read your own page out loud and see if any of it is still true.
[Host] Head to A.E.O. Engine dot A.I. to see how we audit what AI systems currently say about your brand and what we'd publish to fix it. That's A.E.O. Engine dot A.I. We'll see you on the next one.