GEO
Generative Engine Optimization — optimizing for citation by AI chat, search, and assistants.
Full definition
GEO (Generative Engine Optimization) is the practice of structuring your site so that generative AI engines (ChatGPT, Gemini, Claude, Perplexity, Copilot, etc.) cite your content when answering user questions. It sits on top of classical SEO and includes AI-crawler permissions, llms.txt, quotable content structure, and machine-readable schema.
AI engines are now a major source of brand discovery and warm pipeline. Unlike classical SEO, GEO outcomes don't always show up in your analytics — users get the answer without clicking — so being cited is its own success metric.
Example
A SaaS company adds FAQ schema, allows GPTBot, publishes /llms.txt, and ships /vs comparison pages. Within 8 weeks, ChatGPT cites the product on the relevant 'recommend a tool' queries.
Related terms
Answer Engine Optimization — optimizing for direct-answer surfaces like AI assistants and voice search.
Google's AI-generated answers that appear above the classical search results.
A plain-text file at the root of your site that tells AI models which URLs are worth reading.
Structured data (usually JSON-LD) that describes a page's content in a machine-readable way.
Put it into practice
Run a free OptimAIze scan to see how your site handles GEO and the rest of the GEO checklist.
Run free scanFrequently asked questions
Is GEO the same as SEO?
No. GEO is one piece of the broader GEO (Generative Engine Optimization) program that sits on top of classical SEO. The two work together — classical SEO gets you crawled and indexed; GEO is part of what gets you cited by AI engines.
Do I need a tool to implement GEO?
For most teams, a free scanner like OptimAIze is enough to identify what's missing. Implementation is usually a copy-paste of generated markup or a small code change — no specialist tool required.