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2 October 2026 Updated on 26 September 2026 2 min read

Google says AI-search optimization is still SEO, and llms.txt does not help ranking

Google's official AI optimization guide reframes GEO/AEO marketing as ordinary SEO fundamentals, and states directly that llms.txt has no special role in Google Search's generative AI features.

In this article
  1. The core message
  2. The myth Google explicitly kills
  3. What to prioritize instead

Google has published an official guide stating that optimizing a website for generative AI features in Search is, in the company's own words, still SEO, not a separate discipline requiring new tactics. The guide, published on Google Search Central in May 2026, directly addresses marketing terms like GEO and AEO that have circulated as if they required a distinct playbook.

Close view of a person's hands typing on a laptop keyboard beside a coffee mug and phone
Photo: Parker Byrd (CC0), Wikimedia Commons.

The core message

Google's stated position is that generative AI features in Search "are rooted in our core Search ranking and quality systems," so the foundations that already matter for ranking — unique, helpful, people-first content; crawlability and indexability; a clear technical structure; and accurate on-page data — are the same foundations that matter for showing up in AI Overviews and AI Mode. There is no separate ranking system to game.

The myth Google explicitly kills

The guide states plainly that Google Search does not use llms.txt or similar AI-only machine-readable files for ranking or inclusion in its generative features. Google's crawler may discover such a file, but it is treated like any other text file with no special indexing pathway. Maintaining one is not harmful, since some other AI systems and agents do reference it, but it does nothing for visibility in Google Search specifically. The same mythbusting extends to "chunking" content into AI-friendly fragments and to structured data as a supposed trigger for AI citation: neither is required, since Google's systems already parse multi-topic pages and match synonyms without them.

What to prioritize instead

For content and SEO teams, the practical checklist Google points to is unglamorous: keep robots.txt and CDN rules from blocking Googlebot, make sure important claims exist as visible on-page text rather than only in images or scripts, align any structured data with what a visitor actually sees, and use the Search Console generative AI performance report to track how content performs in these surfaces. None of that is new advice, which is Google's point.

Sources: Google Search Central, Google Search Central Blog.