Google just debunked these 6 AI SEO myths

So how do you get shown in AI search results?

The AI SEO gold rush didn’t take long.

Consultants rebranding as GEO specialists. Tools promising “AI-readiness scores.” Blog posts warning you’ll vanish from Google’s AI answers if you don’t chunk your content or add llms.txt files.

Luckily, Google just published an official guide to optimizing for generative AI features in Search.

Here are the six claims Google explicitly debunked.

Myth 1: SEO is dead in AI search

The myth that gets recycled every two years with a new villain attached.

Google’s answer: SEO is still relevant. AI Overviews and AI Mode are built on the same core ranking and quality systems that have always determined what shows up.

The underlying mechanism is RAG — the AI pulls from the Search index using existing ranking signals, not a separate framework.

Nothing died.

Myth 2: You need AEO or GEO as a separate discipline

“AEO” and “GEO” have spawned new service offerings, new job titles, new courses.

Google’s take: “Optimizing for generative AI search is optimizing for the search experience, and thus still SEO.”

The companies selling GEO as categorically different from good SEO are, at best, applying old knowledge under a new label.

Myth 3: You need llms.txt or special AI-readable files

The idea: create machine-readable files or Markdown versions of your content so AI systems can “read” you better.

Google: “You don’t need to create new machine readable files, AI text files, markup, or Markdown to appear in generative AI search.”

llms.txt isn’t a signal. Creating one isn’t harmful, but don't expect it to do much.

Myth 4: You need to chunk content into AI-friendly fragments

The logic: AI models process text in chunks, so break your content into small pieces to make it easier to cite.

Google: “There’s no requirement to break your content into tiny pieces for AI to better understand it.”

Google’s systems extract relevant passages on their own. The models are more than strong enough to do this now. Write for your audience. Don’t restructure your content around a problem the AI is already solving.

Myth 5: You should build pages for every fan-out query variant

Google uses “query fan-out” — the AI generates several related sub-queries to gather more complete information. Because of this people started thinking it's necessary to create content targeting every possible fan-out variation.

Google is explicit that this violates its scaled content abuse spam policy.

Google: This is an ineffective long-term strategy, as a high quantity of pages doesn’t make a website higher quality or more relevant to users. Google’s AI systems have advanced even further and improved upon our ability to understand the relevance of pages, even when there is no exact match between the query and the page’s primary content.

More pages don’t make a site more relevant. Dozens of bad page variants targeting long-tail queries won't help you. It will only flag Google's spam detection.

Myth 6: AI-generated content is automatically bad — or automatically enough

Google addresses two common misconceptions here.

First: AI content is automatically penalized. It isn’t. It only depends on whether it’s helpful and somewhat unique among other search results.

Second: AI content will always help you score better. It won't. Google calls out “commodity content” as the problem. Google’s systems favor a genuine point of view, first-hand experience, insight that goes beyond what’s already everywhere.

What to actually do instead

In short, not much has changed.

Make content that earns attention. Unique viewpoints, first-hand expertise, original takes. If an AI could produce the same content without your involvement, it isn’t providing anything distinct.

Get the technical basics right. Pages indexed, content crawlable, duplicate content cleaned up. These continue to matter.

Use media where it adds real value. Images and videos can surface in AI responses — meaning more visibility for your site.

Don’t chase fake backlinks. Manufactured forum posts and spamming your site everywhere will just trigger the same spam systems that Google always used.

The sites that succeed in AI search are the ones that would have succeeded in regular Search anyway.

Most of the new “AI SEO” tactics sprang up to solve a problem that didn’t exist and to simply make money for the creators selling them.