GEO & AEO fundamentals
What generative and answer engine optimisation are, and how they differ from SEO.
- What is answer engine optimization (AEO)?
Answer engine optimization (AEO) is the practice of getting your content used as the answer when a search or AI engine responds directly instead of returning links.
- What is generative engine optimization (GEO)?
Generative engine optimization (GEO) is the practice of getting your brand named and cited in the answers AI engines generate, rather than ranked on a results page.
- GEO vs SEO: generative engine optimization vs traditional search
SEO competes for a position on a results page; GEO competes for inclusion in a generated answer. The tactics overlap more than most comparisons admit.
- A practical guide to generative engine optimization
A step-by-step GEO programme: build a prompt set, measure your baseline, fix retrieval, rewrite for extraction, and track the trend.
- AEO vs SEO: answer engine optimization vs traditional search
SEO earns a ranked link; AEO earns the answer itself. The overlap is large, but the measurement and the payoff are genuinely different.
- SEO vs GEO vs AEO: how the three fit together
SEO wins a ranked link, AEO wins the direct answer, and GEO wins a citation inside a generated response. They stack rather than replace each other.
- AEO marketing: what answer engine optimization means for marketers
How answer engine optimization changes marketing planning, briefs, and reporting — including what to do when the answer replaces the click.
- What is LLM SEO?
LLM SEO is optimising to be retrieved, cited, and recommended by large language models — the same objective as GEO, framed around the model rather than the engine.
- What is AI search engine optimization?
AI search engine optimization is optimising for search experiences that answer with generated text — an umbrella term covering GEO, AEO, and LLM SEO.