Google says GEO is just SEO. Here is what that kills.
Google's official guidance says optimizing for generative AI search is optimizing for the search experience, and thus still SEO. Its mythbusting section rules out llms.txt, content chunking, AI-specific writing, and required structured data. Most of what the GEO category sells is on that list. What survives is narrow and real: an AI answer names a few brands and quotes a few sources, and being outside that set is a measurable gap.
We sell a GEO product. Google published a guide that undercuts a large part of how GEO products are marketed. This post is us reading it carefully and saying which of our own claims it kills.
What does Google's AI optimization guide actually say?
It says generative AI features are built on the existing ranking system through retrieval-augmented generation and query fan-out, so the work that makes a page eligible is the work that already made it rank. Google states directly that optimizing for generative AI search is "still SEO," and advises prioritizing effective SEO strategies over what it calls "AEO/GEO hacks."
The mechanism section is the useful part. Google describes two things happening when an AI feature answers a question. First, retrieval-augmented generation: the ranking system retrieves pages, and the model generates a response with clickable links to them. Second, query fan-out: the model issues its own concurrent related queries to fetch additional results.
Both details matter more than they look. They mean the retrieval step is the old ranking system, so a page that cannot be crawled, indexed, and shown with a snippet is not eligible in the first place. And they mean the query you optimized for is not necessarily the query the model ran.
What does the guide say you do not need?
Five things: llms.txt or any AI-specific file or markup, breaking content into small chunks, writing in a special style for AI, structured data as a requirement, and collecting mentions across the web. Google addresses each one explicitly in a mythbusting section.
Here is the list, condensed, with the part that stings for a tool vendor.
llms.txt and AI-specific files. Google says you do not need machine-readable files, AI text files, markup, or Markdown to appear in Google Search, that Search itself does not use them, and that creating one will neither harm nor help visibility. We publish a free llms.txt generator. We kept it, and we put that sentence on its page, because the file is harmless and a few non-Google tools do read it. It is a convenience, not a ranking lever, and we do not score it.
Chunking. No requirement to break content into tiny pieces. Google says its systems understand multiple topics on a page and that there is no ideal page length. If a GEO tool is charging you to restructure prose into snippet-shaped fragments, the vendor of the largest engine says that is not the mechanism.
Writing for AI. No need for a specific style, because the systems understand synonyms and general meanings. The long-tail keyword anxiety that half the category runs on is addressed here directly.
Structured data. Not required for generative AI search, and there is no special schema.org markup to add. Google still recommends it as part of overall SEO for rich results, which is a different claim from the one usually made in GEO marketing.
Mentions. Google says seeking inauthentic mentions across the web is not as helpful as it might seem. This is the one that cuts closest to our own product, and we deal with it below.
Is GEO a real discipline, then?
Partly. The optimization advice mostly collapses into SEO, exactly as Google says. What does not collapse is measurement: a ranked list of ten blue links and an AI answer that names three brands are different surfaces, and your position in the second one is not visible in any rank tracker. That gap is real, and it is measurable without claiming any secret method.
The honest split looks like this.
The optimization claims of the category are largely refuted by the guide. There is no separate GEO writing style, no file to publish, no markup that unlocks citation.
The measurement claim survives, and it survives for a structural reason rather than a clever one. When someone asks an assistant for the best vendor in your category, the answer names a handful of brands and cites a handful of third-party sources. You are inside that set or you are not, the set differs by engine, and it changes between runs. Nothing in Search Console tells you what Perplexity said. Nothing in a rank tracker tells you which competitor ChatGPT named instead of you.
That is why our own methodology ships two scores rather than one. SEO Health covers the fundamentals Google says still decide eligibility. CITE covers the answer surface, and its largest dimension is simply whether a real buyer query produced an answer that cited you.
What changed in our product after reading it?
Four things: we removed a chunking-flavored claim from our own comparison copy, we state on the site that we are a third-party tool with no access to any engine's internal systems, we point customers at Search Console's Generative AI performance report as the first-party source for Google, and we classify placement surfaces so the fix list never asks you to manufacture a mention.
We deleted a claim of our own. Our GEO-versus-SEO answer used to say GEO "additionally rewards self-contained factual passages." That is chunking with better tailoring, and the guide rules it out. It is gone.
We say what we are not. Google warns readers to be wary of third-party tools that promise ranking success or claim to use internal Google metrics, and states that no third-party tool has access to its internal ranking or AI systems. We are a third-party tool. We have no such access, nothing in a report is derived from one, and that sentence is now on our methodology page rather than buried in a footer.
We point at the first-party source. For Google specifically, the Generative AI performance report in Search Console is ground truth and we are not. Our argument for existing is coverage, not superiority: that report covers Google, and your buyers also ask Perplexity, ChatGPT, Claude, Gemini, Grok, and DeepSeek.
We classify what counts as a placement. The mentions warning is the one that could have quietly made our fix list wrong. A citation-gap tool naturally produces a list of hosts that were cited when you were not, and the lazy version of that feature says "go get mentioned here" for every host on it. Two of those hosts are usually a competitor's own website, where no amount of work will place you, and a review directory, where a profile is a twenty-minute task. We separate them: directory profiles and entity records are work we can name, editorial surfaces are a human pitch, and a rival's own content site produces no placement item at all. Getting listed in the directory an engine already quotes is not an inauthentic mention. Buying a mention is, and we do not sell that.
What the guide does not settle
It speaks for Google Search only. Perplexity, ChatGPT, Claude, Grok, and DeepSeek have published no equivalent statement about llms.txt, chunking, or structured data, so Google's answers cannot be assumed to transfer. Where an engine has not said what it uses, the honest move is to report what was observed rather than generalize.
Every quotation above is Google describing Google Search. That covers AI Overviews and AI Mode, which matter enormously, but it is one engine family out of the set your buyers actually use.
It would be convenient for us to extend Google's mythbusting to all seven engines and declare the question closed. We cannot, because the other vendors have not made those statements, and the difference between "Google says it does not use this" and "nobody uses this" is exactly the kind of collapse this guide is warning about.
So the position we hold is narrower than either side of the usual argument. GEO is not a new discipline with secret rules. It is also not nothing. It is a measurement problem on a surface that classic tools do not see, sitting on top of fundamentals that have not changed.
Quotations are from Google's AI optimization guide, used under the Creative Commons Attribution 4.0 License. BeCited is not affiliated with or endorsed by Google.