The discipline of optimising for AI answers — how engines retrieve, synthesise and cite, and what to change on and off your site to win share.
Generative Engine Optimization is the layer of marketing work that targets answers, not links. Where SEO optimises a URL for a SERP position, and AEO optimises a passage for inclusion in an answer, GEO optimises the entire brand surface that generative systems learn from — your own content, third-party reviews, listicles, structured data, and the prompts your buyers actually use.
Every major engine (ChatGPT, Perplexity, Gemini, Claude) runs a similar four-stage loop:
GEO influences each stage: retrieval (indexability, entity coverage), rerank (authority signals, recency), synthesis (clear claim language, structured comparisons) and citation (earning third-party mentions).
Forget keyword rankings. The right metrics are:
SEO targets a position on a results page. AEO targets a passage inside an answer. GEO is the umbrella — it owns retrieval, rerank, synthesis and citation across every generative surface. In practice you do all three, but the strategy, success metric and reporting cadence are different.