7 GEO Claims, Checked Against Google's Own Documentation

Most GEO advice is passed on without a source. When you check the common claims against Google's own documentation, five of the seven below are false, and two are unsupported: nothing Google publishes backs them up. For each claim, this page quotes the documentation and gives a verdict and the cheaper thing to do instead. Our sources are linked at the bottom, and every quote was checked against them in October 2026.

One scope note before the verdicts. Google documents only Google Search. Its pages say nothing about how ChatGPT, Claude or Perplexity choose sources. When a verdict below depends on that, we say so.

The verdicts at a glance

1. "Google penalizes AI-generated content": false

The claim gets wrong where Google draws the line. In its 2023 guidance, Google says: "Appropriate use of AI or automation is not against our guidelines." What its spam policies forbid is content made mainly to manipulate rankings, whichever way it was written.

The real risk is volume without value. Google's generative AI guidance says that "using generative AI tools or other similar tools to generate many pages without adding value for users may violate Google's spam policy on scaled content abuse." The same policy applies to pages written by people.

Instead: judge each AI-assisted page on whether it adds something a reader cannot get elsewhere, and check its facts. Language models predict likely text, so they do not guarantee accurate text. We wrote up our own production results in what AI-generated content gets cited.

2. "Duplicate content gets your site penalized": false

Google's canonicalization page is direct: "Some duplicate content on a site is normal and it's not a violation of Google's spam policies." Region variants, HTTP and HTTPS versions, and sorted or filtered listings all create duplicates.

Google doesn't penalize them. It clusters near-identical pages and shows one canonical version. The Search Console help page even calls the "Duplicate without user-selected canonical" status "not an error", because "Google does not serve duplicate pages."

Duplicates still cost something: crawl spent on copies is not spent on new pages. But the fix is clear canonical signals, not panic. The exception is copying other sites. Republishing their content "without adding any original content or value" is scraping, and the spam policies cover it.

3. "llms.txt improves AI search visibility": unsupported

llms.txt is a 2024 community proposal (llmstxt.org) for a Markdown index of your site, written for language models. No major search platform documents that it reads the file for ranking or citations.

Google is explicit. Its AI optimization guide lists llms.txt among things to ignore and says maintaining such files "will neither harm nor help your site's visibility or rankings in Google Search, as Google Search ignores them." Google added that note in June 2026. Its AI features page adds: "You don't need to create new machine readable files, AI text files, or markup to appear in these features."

We could find no statement from OpenAI, Microsoft or Perplexity either way. Missing documentation doesn't prove a platform ignores the file. It means nobody has shown that the file helps. That matches our own 90-day llms.txt retrospective. If you want one, the templates guide takes ten minutes. Just don't report it as a visibility tactic.

4. "Content must be chunked and rewritten for AI": false

The claim is that you must break pages into small self-contained chunks and cover every long-tail variation of a question. Google lists this among things you can ignore: "There's no requirement to break your content into tiny pieces for AI to better understand it."

On long-tail variations, it says AI systems understand synonyms, so "you don't have to worry that you don't have enough 'long-tail' keywords or haven't captured every variation of how someone might seek content like yours." On length: "There's no ideal page length, and in the end, make pages for your audience, not just for generative AI search."

This doesn't make structure useless. Clear headings, tables and short answers help readers, and readers are who the page is for. What the documentation rules out is rewriting good pages into fragments just for AI.

5. "The Indexing API gets any page indexed fast": false

Google's Indexing API quickstart says: "The Indexing API can only be used to crawl pages with either JobPosting or BroadcastEvent embedded in a VideoObject." Submissions "undergo rigorous spam detection". Attempts to exceed the quota, for example with multiple accounts, "may result in access being revoked." The default quota is 200 publish requests per day per project.

So the plugins that push every blog post through the API are using it for pages it was not built for. For a new product site, an XML sitemap plus URL Inspection's "request indexing" for a handful of key pages is the documented route. Our website launch checklist covers both.

6. "GEO tools can see your rankings inside Google's AI": false

Google's AI optimization guide says: "Be wary of third-party tools that promise ranking success or claim to use 'internal' Google metrics. No third-party tool has access to our internal ranking or AI systems."

The first-party data is the Generative AI performance report in Search Console. It shows impressions in AI Overviews and AI Mode for your site. Outside tools are still useful when they say what they do: run prompts, record the answers and sample repeatedly, because answers vary between runs. Our AI visibility tools comparison explains how to tell the two kinds apart.

7. "Seeding brand mentions everywhere boosts AI visibility": unsupported

Google agrees that its AI features summarize what blogs, videos and forums say about products. It then adds: "seeking inauthentic 'mentions' across the web isn't as helpful as it might seem. Our core ranking systems focus on high-quality content while other systems block spam; our generative AI features depend on both." Its spam policies now name "attempting to manipulate generative AI responses in Google Search" as spam.

The useful distinction is authentic versus manufactured. Real reviews, honest comparisons and listings on curated directories are the coverage AI features draw on. Paid placements in fake "best of" lists and comment spam are what Google says its systems try to discount. We found no source, from Google or anyone else, that measures how much authentic mentions move citations. So treat any promised number as marketing.

How to check the next claim yourself

1. Find the primary source. For Google, that is Search Central documentation or the Search Central blog, not a summary of either.
2. Check the date and scope. Google's pages describe Google Search, not ChatGPT or Perplexity. A claim about "AI search" in general usually rests on one engine.
3. Separate official, observed and guessed. A platform statement, a measured study and a vendor's hypothesis carry different weight. One study of one assistant in one category is a data point, not a law.
4. Ask what would change the verdict. For llms.txt, that would be a platform documenting that it reads the file, or a controlled experiment. Until one exists, the verdict stays unsupported.

FAQ

If Google ignores llms.txt, should I delete mine? No. Google says the file neither helps nor harms you in its search, and some coding assistants and agents read it. Keep it if it is cheap to maintain. Don't count it as GEO work.

Do these verdicts apply to ChatGPT and Perplexity? Only partly. Claims 1, 2, 4, 5 and 6 are about Google Search, and Google documents only its own systems. OpenAI and Perplexity publish much less about their source selection, so for them most of these claims are unverified rather than false.

Is AI-assisted writing safe for a launch blog? Yes, if every page adds real information and its facts are checked. The risk Google names is publishing many low-value pages at scale.

What is the most reliable GEO work, then? The unglamorous part: crawlable pages with the main content in the server HTML, consistent facts about your product everywhere they appear, and genuine third-party coverage. Our AI search optimization playbook puts these in order.

Sources

• Google Search Central: Optimizing your website for generative AI features on Google Search
• Google Search Central: AI features and your website
• Google Search Central Blog: Google Search's guidance about AI-generated content (February 2023)
• Google Search Central: Guidance on using generative AI content on your website
• Google Search Central: Spam policies for Google web search
• Google Search Central: What is canonicalization
• Search Console Help: Page indexing report
• Search Console Help: Generative AI performance report
• Google Search Central: Indexing API quickstart and quota and pricing
• Google Search Central: Latest documentation updates
• llmstxt.org: The /llms.txt file

The claim that survives every check is the boring one: be easy to crawl, and get described accurately by sources people trust. A permanent, factual listing is part of that. Submit your product on aat.ee, or see the listing options.