Core concepts
Generative Engine Optimization (GEO)
Generative engine optimization (GEO) is the practice of optimizing content to be surfaced, used, and cited by generative AI engines when they compose answers. It is a near-synonym for answer engine optimization (AEO); GEO emphasizes the generative model that writes the answer, while AEO emphasizes the answer interface itself.
Why it matters for AEO
GEO and AEO describe the same work from different angles, so the tactics — answer-first writing, clear structure, trustworthy claims, and crawlability — are effectively identical. The term you choose matters less than optimizing for how engines retrieve, trust, and cite content. In practice, optimizing for one term optimizes for the other, so teams rarely need to choose between them.
Related terms
Newsletter
Get the AEO field notes
Occasional, editorial updates on AI search — what changed, newly verified stats, and citation-tracking notes. No spam, unsubscribe anytime.