Everything you need to know about optimizing for AI search engines.
What is GEO (Generative Engine Optimization)?
Generative Engine Optimization (GEO) is the practice of optimizing your website to appear as a source in AI-generated answers from tools like ChatGPT, Perplexity, Google AI Overviews, and Gemini. Unlike traditional SEO which focuses on ranking in blue links, GEO focuses on getting your content cited, quoted, or recommended by AI systems when users ask questions. Key GEO signals include: structured data (schema markup), llms.txt file, clear factual content, Organization schema, FAQ schema, and not blocking AI crawlers.
What is llms.txt and do I need it?
llms.txt is a file placed at the root of your website (yoursite.com/llms.txt) that tells AI language models how to use your content. Similar to how robots.txt guides search engine crawlers, llms.txt guides AI systems. It lists your important pages, provides context about your business, and can grant or restrict AI access to specific content. While not yet a universal standard, major AI companies are starting to recognize it. Having an llms.txt file signals that your site is AI-ready and can improve how AI systems understand and cite your content.
Which AI crawlers should I allow in robots.txt?
The key AI crawlers to allow are: GPTBot and ChatGPT-User (OpenAI/ChatGPT), ClaudeBot and anthropic-ai (Anthropic/Claude), PerplexityBot (Perplexity), GoogleOther (Google AI), Meta-ExternalAgent (Meta), CCBot (Common Crawl — used by many AI training datasets). By default, robots.txt allows all crawlers. You only need to act if you explicitly block them with Disallow rules. Use this GEO checker to verify your current crawler access settings.
How does schema markup help with AI search?
Schema markup (structured data) is machine-readable code that explicitly tells search engines and AI systems what your content means — not just what it says. AI systems heavily rely on structured data to understand: who you are (Organization schema), what you offer (Product/Service schema), what questions you answer (FAQ schema), your expertise signals (Article/Author schema). Sites with rich schema markup are significantly more likely to be cited in AI-generated answers because the data is unambiguous and easy for AI to parse.
Does GEO affect my Google rankings?
GEO and traditional SEO share many foundational elements — structured data, quality content, technical health — so improving GEO often improves traditional SEO as well. Google's AI Overviews pull from its search index, so pages that rank well in traditional search are more likely to appear in AI Overviews. However, GEO adds AI-specific optimizations (llms.txt, AI crawler access, specific schema types) that go beyond traditional SEO. Think of GEO as SEO for the AI era — it builds on your existing SEO foundation rather than replacing it.
What GEO score should I aim for?
Aim for a GEO score of 70+ for basic AI visibility. 85+ indicates strong GEO health and a good chance of being cited in AI answers for relevant queries. The highest-impact GEO factors are: (1) Not blocking AI crawlers in robots.txt; (2) Having Organization schema; (3) Having FAQ schema — AI systems love FAQ content; (4) Clear, factual H1; (5) llms.txt file for the most forward-looking sites. A score below 50 means you have significant gaps that are likely preventing AI systems from understanding and citing your content.