Google Releases Official Guide on Optimizing for Generative AI Features in Search
Apply foundational SEO best practices and use Semrush AI Visibility Toolkit to track citations in AI Overviews and AI Mode.
Audit content for quality, ensure no blocking of AI crawlers, use AI Visibility Toolkit to monitor citations, and prepare for UCP if planning agentic commerce.
Summary
On May 15 2026, Google published a guide titled "Optimizing your website for generative AI features on Google Search" under the new Generative AI fundamentals section.
The guide confirms that SEO best practices remain relevant because AI Overviews and AI Mode are rooted in core search ranking systems, and it dispels myths such as the need for llms.txt files, content chunking, AI‑specific rewriting, or special schema.
Generative AI uses retrieval‑augmented generation and query fan‑out to highlight content from the Search index, and agentic experiences rely on standards like Universal Commerce Protocol and WebMCP. The guide encourages monitoring AI citations with the AI Visibility Toolkit and ensuring no blocking of AI crawlers.
Key changes
- Google confirms that SEO best practices remain relevant for generative AI search because AI Overviews and AI Mode are rooted in core search ranking systems.
- No special indexing for llms.txt files; they are treated like any other text file.
- Content chunking is unnecessary; Google’s systems can extract relevant passages from multi‑topic pages.
- AI‑specific rewriting to capture every long‑tail keyword variation is not required.
- Special schema or Markdown versions of pages are not needed for generative AI inclusion.
- Generative AI uses retrieval‑augmented generation and query fan‑out to highlight content from the Search index.
- Agentic experiences rely on emerging standards such as Universal Commerce Protocol (UCP) and WebMCP for direct action.
- The guide encourages monitoring AI citations with the AI Visibility Toolkit and ensuring no blocking of AI crawlers.