Generative engine optimization
Generative Engine Optimization (GEO)
Generative engine optimization is the practice of becoming the source a generative search system draws from and names when it composes an answer. Where classic SEO optimizes a ranked link, GEO optimizes retrievability and quotability: unambiguous entity data, self-contained claims with visible grounding, topical depth across a connected cluster, and consistent corroboration elsewhere on the web.
Entity clarity beats keyword density
A generative system resolves a query to entities before it retrieves text. If a site never states plainly who its subject is, what they do, what they are known for, and how they relate to other named things, the system has nothing to attach the retrieved passages to and will prefer a source that does.
Depth in a connected cluster
A single page rarely wins a generated answer. A hub with supporting pillar pages and topic pages, interlinked and all resolving to one canonical domain, gives a retriever multiple confirming passages for the same entity — which is what a generative answer actually needs to cite confidently.
Frequently asked
- What is generative engine optimization?
- Optimizing to be the cited source inside AI-generated answers, rather than a ranked link on a results page. It rewards clear entity data, self-contained claims, and a connected topical cluster.
- How is GEO different from AEO?
- They are close relatives. AEO focuses on being retrievable and accurately quoted for direct questions; GEO focuses on being selected and named as a source when a system composes a longer synthesized answer.
