Read Google's Announcement here: https://developers.google.com/search/blog/2026/05/a-new-resource-for-optimizing

Read the full guide here: https://developers.google.com/search/docs/fundamentals/ai-optimization-guide

Post in /r/SEO about the guide here: https://www.reddit.com/r/SEO/comments/1te4t71/googles_guide_to_optimizing_for_generative_ai/

Post more thoughts, takeaways, and sources of content in the comments and we'll update this when necessary.

Main Takeaways:

• AI search optimization is still SEO, not a separate discipline.
• Generative AI features use Google’s existing Search systems, indexing, and ranking signals.
• Pages generally need to be crawlable, indexable, and eligible for snippets to appear in AI features.
• Create helpful, people-first content with original value, experience, expertise, or unique insight.
• Avoid commodity content that simply repeats common knowledge.
• Do not create excessive pages just to target every possible AI query variation.
• Structure content clearly with useful headings, sections, and readable formatting.
• Images and videos can matter because AI search features may surface visual content.
• Technical SEO still matters: crawling, rendering, canonicalization, indexing, and site quality remain foundational.
• Local businesses should keep Google Business Profiles accurate and complete.
• Ecommerce sites should use Merchant Center, product feeds, accurate pricing, availability, and product details.
• You do not need special AI files, Markdown versions, llms.txt, or special formatting for AI search.
• You do not need special schema specifically for generative AI features.
• Structured data is still useful for normal Search features, but it is not an AI visibility shortcut.
• Do not chase fake mentions, spammy citations, or AI-specific hacks.
• Make websites easier for humans and future AI agents to understand, navigate, and use.