What is generative engine optimization (GEO)?
Generative engine optimization (GEO) is the practice of structuring and sourcing content so AI answer engines - ChatGPT, Claude, Perplexity, and Google AI Overviews - cite it as a source. Where traditional SEO aims to win a ranked link, GEO aims to win a sentence inside the generated answer. The disciplines overlap, but the winning move differs: content is optimized to be quoted, not just listed.
Why does GEO matter now?
A growing share of buyer research starts inside AI assistants rather than a list of blue links. For many informational queries, the AI answer is the whole result, and only a handful of cited sources sit beneath it. Being one of those sources means reaching people who never click through but still absorb your brand and expertise.
How is a page selected for citation?
AI answer engines reward content a model can lift cleanly: a correct, self-contained claim it can attribute with confidence. In practice that means answer-first passages, clear entities, verifiable statistics with named sources, and machine-readable structured data.
Frequently asked questions
What is GEO in simple terms?
GEO is writing and structuring content so AI systems cite it when answering questions, rather than optimizing only for ranked search results.
Is GEO the same as SEO?
No. They share foundations, but SEO optimizes for ranked links while GEO optimizes for being quoted inside AI answers. See GEO vs SEO.
Last updated: 2026-07-05