GEO (Generative Engine Optimization)

GEO (Generative Engine Optimization) is the work of getting an AI system to mention a company in its answer or to cite its content as a source. This means systems such as ChatGPT, Gemini, Perplexity, Microsoft Copilot and Google AI Overviews. The term sets itself apart from SEO: SEO wants a position in a results list, GEO wants a role in a generated answer.

How does GEO work?

An AI answer draws on two sources of knowledge. The first is model knowledge, meaning what the language model saw during training. The second is web search, which the system triggers when it is not confident in its answer; the results flow into the answer via grounding. GEO works on both paths: content must be available in a form that crawlers can capture, it must rank for the relevant search queries, individual passages must hold up in re-ranking, and the brand must be recognisable as an entity via third-party sites.

A workable formula for this: AI visibility = (technology + content + off-page) × processes. Technology gets a page into the race, content decides whether it is cited, the off-page environment decides whether the brand counts as a candidate at all, and without measurement processes every measure remains a one-off action.

Why does GEO matter for companies?

Anyone looking for a service today increasingly asks an AI first. It usually names a few providers, and whoever is not among them does not feature in the decision. In the CodaAI study “AI Blind Test 2026”, which evaluates 7,184 AI answers about 449 mid-sized B2B companies in Germany, the name of the company under review does not come up in 55% of buyer questions; for 47% of companies the AI recommends competitors by name. Traffic on your own website shows none of this, because the decision is made before the click.

How do GEO, AEO and LLMO differ?

Several names are in circulation for the same discipline. Ahrefs defines answer engine optimisation (AEO) as the practice of making content visible and useful to AI systems that deliver direct answers; according to Ahrefs, GEO and LLMO (large language model optimisation) mean essentially the same thing (June 2026). According to Aufgesang, GEO and LLMO are the most widely used terms in 2026, alongside GAIO (generative AI optimisation) and “KI-SEO” in German (March 2026).

Google itself classifies AEO and GEO as SEO in its guide to AI search (Search Engine Journal, May 2026). The difference lies less in the techniques than in the goal: GEO measures success by mentions and citations in AI answers, not by positions in a list of results. This glossary uses the term GEO throughout.

What does GEO mean for your website?

GEO is not a performance marketing channel; it is closer to brand building: it is about presence and a consistent picture in answers, not primarily about clicks. Three questions structure the work: Can the AI read your content (technology)? Are you where the AI gets its evidence (off-page)? Does it cite you because your content answers a question better than others (content)? Measurement is not done with a position but with mention rate, citation rate and share of AI search across a fixed prompt set.