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Google published something last week that the content marketing and SEO world has been waiting for.
Their first official guide on how to optimize for AI search features, AI Overviews, and AI Mode, all of it. If you’ve been watching the AEO vs GEO vs SEO debate play out on LinkedIn (and honestly, who hasn’t), this is the closest thing to an official answer you’re going to get.
Let me break it down for you. What the guide actually says, where things get a little murky, and what it means for the work you’re doing.
📌 TL;DR
Google officially said GEO and AEO are just SEO, no separate strategy needed for AI search
What still matters: non-commodity content with a real POV, clean technical structure, quality visuals
What to ignore: llms.txt, content chunking, AI rewrites, inauthentic mentions
But the same week, Google’s own Chrome team shipped a Lighthouse audit that checks for llms.txt, the two teams are talking about different things (search rankings vs. agent readiness), and that distinction matters
Bottom line: use Google’s guide directionally, not as a rulebook; the gap between their principles and your Monday morning to-do list is still yours to fill
What Google's guide actually says
The guide was published on May 15 by Google Search Central.
The central message is pretty straightforward: there is no separate strategy for AI search. GEO and AEO? Google put both terms in quotes and said, paraphrasing only slightly, that it’s all just SEO.
Here’s what they want you to focus on:
Write non-commodity content with a real, first-hand point of view. Not a summary of what everyone else has already said. Not something AI could generate in thirty seconds.
Keep your technical structure clean. Crawlable, indexable, fast. The basics.
Add quality images and video where it makes sense. AI features pull visuals too, not just text.
Use structured data as part of your overall SEO, not as a special AI hack.
Focus on what your actual readers want, not on creating pages for every possible keyword variation.
And here’s what they said you can ignore:
llms.txt files or any special AI markup
Rewriting your content specifically for AI systems
Breaking content into tiny “chunks” for AI to parse
Chasing inauthentic brand mentions across the web
Over-indexing on structured data for AI purposes
Google basically said: do good SEO, write content humans actually want, and you’re optimizing for AI search too.
Struggling to figure out what actually applies to your content after reading Google's guide?
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Where the picture gets a little murkier
Now here’s the part worth paying attention to.
The same week Google’s Search Central team told you to ignore llms.txt, Google’s Chrome team shipped Lighthouse 13.3 with an “Agentic Browsing” audit that checks for exactly that file. The Lighthouse documentation says without it, agents “may spend more time crawling the site to understand its high-level structure and primary content.”
That is not the language of something irrelevant. The Search Central guide, published May 15, called it an “unnecessary AI text file” you can ignore. That’s a direct quote from the mythbusting section.
Here is what I think is actually happening.
Google Search Central is talking about one thing: whether llms.txt affects your rankings or visibility in AI Overviews. The answer there is no, at least for now. But the Chrome and Lighthouse teams are talking about something different: whether AI agents can navigate and act on your site efficiently.
Those are two separate problems. One is about being found. The other is about being usable once an agent lands on you. The confusion comes from reading both as the same guidance. They are not.
And this is not new behavior from Google. Their positions on structured data, content length, and E-E-A-T have shifted depending on which team was speaking and the year. That does not make the guidance useless. It makes it directional. There is a difference.
What this means for you (SEOs and Content Marketers)
So after all of that, what do you actually do?
Your SEO foundation is still the right bet
Crawlability, content authority, technical structure, and a genuine point of view. Nothing in this guide changes that. If you have been doing that work already, you are set up well for AI search.
Non-commodity content is now the baseline, not the differentiator
If AI can generate a decent summary of your article, you have not written anything worth citing. The bar has moved. First-hand experience, original research, real opinions. That is what gets pulled into AI responses.
The AEO and GEO labels do not matter as much as the skills behind them
Structuring content for easy extraction, building entity authority, and writing with actual expertise. That work is still valid and still worth doing. Google just does not want you calling it anything other than SEO.
For agents specifically, llms.txt is worth keeping on your radar
Not urgent, not a panic, but not something to dismiss either. Agent readiness and search rankings are different surfaces. The Lighthouse audit exists for a reason.
If someone is billing you for an “AI visibility retainer” built on tactics that Google just called ineffective, this guide is your receipt.
Here is my honest take after reading the whole thing:
Google’s guide is useful. It gives you clarity on what not to chase, which is genuinely valuable when the internet is full of people selling you a separate AI search strategy for a separate retainer. But the guide is three pages long, and AI search is moving fast. It tells you the principles. It does not tell you what to do next Monday.
That gap is yours to fill. With your own analysis, your own testing, your own read of what is working for your specific content and audience. That has always been the actual job. This guide does not change that.
Read the signals. Make your own calls.
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Onwards and upwards,
Sreyashi