Term
GEO — Generative Engine Optimization
GEO is the discipline of shaping content for visibility in AI answer engines — AI Overviews, Perplexity, ChatGPT Search, Claude. The goal is not the classic SERP click, but appearing as a cited source inside the generated answer.
GEO — explained in more detail
Generative Engine Optimization is about shaping content so that generative search engines pick it up as a source for their answers. Classic SEO targets a position in a ranked list — GEO targets a citation in a generated text. The two overlap heavily on the technical side (clean crawlability, clear structure, trust signals), but the impact differs: appearing as a source in an AI Overview earns visibility even when the generated answer replaces the click.
GEO is not a ranking factor — it is a bundle of practices: extractable answers right at the top of sections, unambiguous definitions, structured data as context anchors, original data and hands-on signals that the model can paraphrase, plus external mentions acting as trust proxies. Most of these levers overlap with what high-quality on-page SEO has been recommending for years — only the weighting shifts.
Example / In practice
A page on “Quality Score in Google Ads” ranks at position 4 classically. For every second query, Google opens an AI Overview above the list, generates the answer, and links three sources. GEO-style moves to become one of those three: a concise definition in the opening paragraph (easy to paraphrase), a clear H2 structure along common follow-up questions, an FAQ block with short answers, schema markup for Article and FAQ, and a visible author bio with a track record in the SEA space. Visibility is then measured against log files and AI searches, not just classic rankings.
Distinction from similar terms
SEO aims at position in the classic SERP list. GEO aims at citation in the generated answer. AEO (Answer Engine Optimization) is sometimes used as a synonym, sometimes narrowed to direct Q&A formats. LLMO (LLM Optimization) is the broader variant that also covers chat answers without live retrieval — visibility inside the model’s training cut. The boundaries blur; the market term has settled on GEO.
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Answer Engine Optimization (AEO)
Answer Engine Optimization (AEO) is optimising content so it is delivered as a direct answer — in featured snippets, voice assistants and AI answers. Rather than just ranking pages, the content itself should become the answer.
LexikonGEO — Generative Engine Optimization Explained
What GEO is, how generative engines cite sources, and which factors raise citation likelihood. Honestly framed, without the hype.
NewsPerplexity drops advertising entirely — and goes all-in on subscriptions
In February 2026 Perplexity removed sponsored answers for good. What it means for publishers, GEO visibility and the trust question.