Google Unveils Its SEO Guide for AI: What You Need to Know

Google unveiled an official guide on May 15, 2026, dedicated to optimizing for its AI-based search features. This document, developed by the Google Search Central team, compiles for the first time the official recommendations for appearing in AI Overviews and AI Mode.

SEO and GEO: A Strong Continuity

For several months, industry experts have claimed that the rules for ranking in AI response engines are similar to those of traditional SEO. Google confirms this analysis by stating that optimization for generative AI search falls within the framework of classic SEO. The guide details two essential technical mechanisms for Google's AI features:

• Retrieval-augmented generation (RAG): AI responses rely on pages indexed by Google Search, selected by the usual ranking systems.

• Query fan-out: To answer complex questions, the system generates multiple related queries simultaneously, allowing content to appear in AI responses on topics close to its main theme.

Best SEO Practices for AI

Google reminds us that the recommendations for optimizing content remain similar to those of traditional SEO. Here are the main points:

Content:

• Content should be based on real experience or field expertise, rather than simply rephrasing existing information.
• A distinctive angle is more likely to stand out, as AI systems examine a variety of sources.
• Well-organized pages with clear paragraphs and hierarchical titles are favored.
• Images and videos can be directly integrated into AI responses, thereby increasing visibility.

Technical:

• A page must be indexed and allow for a snippet to be eligible for AI results.
• Content must be publicly accessible, as Google's AI models use the same index as classic search.
• Good SEO practices for JavaScript frameworks also apply to AI results.
• Loading time, mobile display, and readability of the main content influence visibility in AI features.
• Duplicate content should be minimized.

Debunking Myths About GEO

Google is working to dismantle several beliefs that have emerged over the past two years regarding GEO. According to Google, the following five practices should be ignored:

• Creating a llms.txt file or any other special file for AIs: these files receive no special treatment.
• Chunking content into small blocks: Google systems can identify relevant passages in a page covering multiple topics.
• Rewriting content for AIs: systems understand synonyms and search intents, making it unnecessary to multiply keyword variations.
• Seeking artificial mentions: ranking systems focus on content quality, while other systems filter out spam.
• Over-optimizing structured data: no specific Schema.org schema is required for AI results, although its use remains relevant for rich results.