Generative Engine Optimization (GEO)
Definition: Generative engine optimization (GEO) is the practice of making your content easy for AI systems such as ChatGPT, Perplexity and Google's AI Overviews to retrieve, understand and cite when they generate answers.
Also called: GEO, generative search optimization, AI search optimization
Updated
Where the term comes from
The label was coined in a 2023 research paper, GEO: Generative Engine Optimization, later accepted at KDD 2024. Research shows that on the authors’ own benchmark, GEO-bench, rewriting a source with methods such as citing sources, adding quotations and adding statistics raised its visibility in generated answers by up to 40%, while keyword stuffing did little. That is a result on a test engine, not a measured traffic gain on ChatGPT or Google.
Is GEO different from SEO?
Google says that, from its perspective, optimizing for generative AI search is still SEO (Google Search Central). AI Overviews and AI Mode draw on the same index and ranking systems as classic results, and there is no separate file or markup to add.
Other assistants are a different matter. ChatGPT search, Perplexity and Claude run their own crawlers and indexes, so crawler access, content that exists without JavaScript and passages that make sense on their own matter more there than they do for Google.
Our view: treat GEO as SEO plus a short list of extra checks, not as a new discipline with its own tricks.
How to check your own site
- Confirm that OAI-SearchBot, Claude-SearchBot and PerplexityBot are allowed in robots.txt and are not blocked by your CDN or firewall.
- Make sure the main content is in the HTML the server returns, not only after scripts run.
- Ask the questions your buyers ask in each assistant, and record who gets cited.
The AI visibility checker runs the crawler access tests for you, and the generative engine optimization guide covers the full method.