What is GEO? Generative Engine Optimisation, explained for marketers
What is GEO? Generative Engine Optimisation, explained.
A practical, non-hypey guide for marketing teams.
The short version
Generative Engine Optimisation (GEO) is the discipline of structuring your content, brand signals, schema and entities so that AI answer engines — ChatGPT, Perplexity, Google AI Overviews, Gemini and Claude — consistently cite your brand when users ask related questions. It's SEO's sibling, not its replacement. Where classical SEO optimises for ten blue links, GEO optimises for the single synthesised answer that AI engines produce — and the handful of sources cited alongside it. If your brand isn't in that citation list, you're invisible to a rapidly growing share of buyers.
Why GEO matters now
The share of queries that terminate inside a generative answer — without ever producing a traditional SERP click — is climbing every quarter. Google's AI Overviews now surface on a significant portion of informational queries in English-speaking markets. Perplexity's user base has doubled in the last twelve months. ChatGPT's browsing mode has matured to the point where it's routinely cited in B2B research flows. If you're a brand that depends on organic discovery, GEO is no longer optional — it's table stakes for the next decade of search.
How GEO differs from SEO
SEO rewards topical authority, backlinks and technical hygiene across a sea of ranked pages. GEO rewards citation-worthiness: original data, clear structure, unambiguous entities, answer-extractable formatting, and third-party brand mentions. SEO is a ranking problem. GEO is a retrieval-and-citation problem. They overlap — a good SEO foundation makes GEO easier — but they are not the same discipline, and teams that treat them interchangeably tend to underperform on both.
The six GEO levers
In our work with clients, six levers consistently move GEO performance. First, entity optimisation: making sure Wikipedia, Wikidata, Google Knowledge Graph and schema.org all describe your brand consistently. Second, citation-worthy content: original research, proprietary data, clear statistics and confidently formatted answers. Third, answer-extractable structure: short, direct opening answers followed by supporting detail, with heading hierarchy an LLM can parse. Fourth, schema coverage: Organization, FAQ, HowTo, Article, Product and Review schema wired consistently across the site. Fifth, third-party brand mentions: editorial coverage, Reddit threads, podcasts and forums all feed citation models. Sixth, AI visibility tracking: you can't improve what you don't measure, so monitor your target queries weekly across ChatGPT, Perplexity, Gemini and AI Overviews.
Where to start
If you're new to GEO, start with a visibility audit. Pick your twenty highest-intent queries. Run each through ChatGPT with browsing, Perplexity and Google AI Overviews. Note which brands are cited, which sources are referenced, and where your brand does or doesn't show up. That audit becomes your GEO roadmap — and it's usually painfully obvious where the gaps are.
GEO FAQs
Can't find what you're looking for? Email hello@markage.in and we'll reply within 24 hours.
No. They share foundations (technical hygiene, topical authority, schema) but the optimisation target differs: SEO optimises for ranking, GEO optimises for citation inside a synthesised answer.
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