What is Generative Engine Optimization (GEO)?
A plain, complete guide to GEO: what it is, why it matters now, how AI engines decide what to cite, and how it differs from SEO.
Generative Engine Optimization (GEO) is the practice of getting your brand mentioned and cited inside AI-generated answers, on ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews. Where classic SEO optimizes for a ranked list of links, GEO optimizes for being named in the synthesized answer the buyer actually reads.
Why GEO matters now
Buyers increasingly ask an AI assistant “what’s the best [product] for me?” and act on the answer, often without ever clicking a link. Roughly six in ten searches now end without a click, and hundreds of millions of people ask ChatGPT what to buy every week. In that world, a page-one Google ranking is worthless if the AI answer never names you.
How AI engines decide what to cite
There are two modes, and they reward completely different things:
- Live-retrieval (Perplexity, ChatGPT with web search, Gemini, AI Overviews): the engine searches the web, splits pages into chunks, picks the chunks that best match the question, and cites the source. You win here with on-page structure, crawlability and being on the pages it retrieves.
- Training-recall (a model answering from memory, no web): it names the brands it already knows from training. You win here with entity authority, a broad, consistent presence across the web.
This is why the same brand can be cited 100% of the time by one engine and only 65% by another. If you only measure one, you do not know your real visibility.
The core GEO levers
- Entity authority: whether the model has a clear, unambiguous, reputable concept of your brand. Built with Knowledge Graph and Wikipedia presence,
Organizationstructured data withsameAs, and reviews. - On-page structure: write for the chunk. Answer-first, self-contained passages, with the entity named explicitly. FAQ and comparison formats get quoted.
- Third-party citations: the pages AI cites are usually not yours. Win the listicles, reviews and communities the engines actually read.
- Technical for AI:
llms.txt, JSON-LD, an AI-crawler robots policy, and crawl efficiency.
GEO and SEO are not rivals
They share a technical foundation but have different finish lines. SEO is not dead; at scale it still drives real traffic. GEO is the new layer on top. We break the difference down in SEO vs GEO: what changes, and how to attack each.
How to start: measure first
You cannot grow what you cannot see. The first step is a baseline: how often each engine cites you versus your competitors, by query. That number is your share of model. See exactly how to measure it in How to measure your AI search visibility, or look at two real, public audits we ran: Lodgify (vacation rental software) and Odisea Tours (Spain group travel). Tripcite measures it across every major engine, for brands like odisea-tours.com and mycantera.com.
What is your share of model?
See how often ChatGPT, Perplexity, Gemini and Claude cite your brand versus your competitors. Get a baseline audit.