GEO (generative engine optimization)

The term comes from a 2023 research paper that treated the generative engine as the thing being optimized for, and tested content changes against a benchmark the authors built themselves. Tactics that helped in that benchmark were unglamorous: adding quotations, adding statistics, citing sources. Worth holding lightly, because it is one benchmark by the people proposing the idea, and no independent replication has followed it into the engines people actually use.

GEO and AEO are near-synonyms with different lineages, and the distinction rarely survives a client brief. GEO arrived through academic work on generative engines, AEO through practitioner vocabulary about answers and snippets, and both now describe the same job: be retrievable, be quotable, be attributed. Treat a vendor that sells them as two services accordingly.

No engine publishes GEO ranking factors, and there is no file you can serve that makes one cite you, so the checkable part is everything upstream of the answer. Can an AI crawler fetch the page, does the content exist without JavaScript, does the passage answer the question in its first sentence. Everything downstream of that is measured by sampling the answers themselves rather than by reading a specification.

Frequently asked questions

Where does the term GEO come from?

A 2023 research paper on generative engine optimization, which tested content changes against its own benchmark and reported gains for adding quotations, statistics and citations.

Is GEO the same as AEO?

In practice, yes. The two names have different origins, academic for GEO and practitioner for AEO, and they describe the same work.

Are there GEO ranking factors?

None that any engine publishes. Anything presented as a GEO ranking factor is inference from sampled answers, so ask how many runs it came from before acting on it.