In 2026, a growing share of searches no longer starts on Google but in a conversation with an AI. ChatGPT counts hundreds of millions of weekly users, Google rolls out AI Overviews on a large share of queries and Perplexity has established itself as an answer engine. In this new landscape, one question becomes vital for every business: when an AI answers a question in your field, does it cite your brand — or a competitor's?

That is exactly what GEO is about. This guide defines the discipline, compares it with classic SEO, details the eight levers that get an AI to cite you, and explains how to measure your progress.

Definition: what is GEO?

GEO (Generative Engine Optimization) refers to the set of techniques aimed at maximising the probability that a brand, a website or a piece of content is picked up and cited in AI-generated answers: ChatGPT, Claude, Gemini, Perplexity, Mistral, Grok or Google's AI Overviews.

Where SEO tries to rank a page in a list of results, GEO tries to make your content a source the model selects, synthesises and cites when composing its answer. You will also hear AEO (Answer Engine Optimization) or LLMO: the terms vary, the goal stays the same — existing in the answer, not just in the results.

GEO vs SEO: the real differences

GEO does not replace SEO: it builds on the same foundations (quality content, a technically healthy site, authority) but changes the target and the rules of the game.

  • The result format — SEO targets ten blue links where everyone can exist on page one. GEO targets a single answer that only cites 2 to 5 sources: visibility becomes binary — cited or invisible.
  • The unit of optimisation — SEO optimises pages for keywords. GEO optimises passages: models extract short, factual, self-contained fragments they can reuse as-is.
  • The signals taken into account — beyond links, AI engines value structured data, semantic clarity, source citations, statistics and the consistency of your information across the web.
  • Measurement — no more simple rank tracking: you measure a citation rate, a position within the answer, a share of voice against competitors and a sentiment, engine by engine.

Why GEO has become crucial

The share of AI answers in search journeys grows every quarter: AI Overviews shown on an increasing fraction of Google queries, massive adoption of ChatGPT as an entry point, the rise of Perplexity on high-intent searches. Analysts, Gartner first among them, anticipate a lasting decline of traffic from classic search in favour of generative answers. Every answer generated without your brand is a prospect discovering a competitor.

Above all, AI users no longer compare ten results: they trust the synthesis. Being one of the few brands cited means capturing an implicit, very high-value recommendation. And since few companies optimise for generative engines today, the first-mover advantage is very real.

The 8 levers of GEO

At GeoGenee, we audit a website's GEO health on eight criteria scored out of 100. These are the eight concrete action levers, in order of implementation:

  • Structured data (schema.org) — mark up your pages in JSON-LD with the Organization, FAQPage, Article, Product or LocalBusiness schemas: you give models unambiguous facts — who you are, what you sell, where — that are easy to extract.
  • AI crawler access — check that your robots.txt does not exclude GPTBot, ClaudeBot, PerplexityBot or Google-Extended: a blocked site can neither be learned nor cited.
  • llms.txt file — publish at the root of your site this Markdown summary of your business and key pages, designed to be read by large language models.
  • FAQ — a question asked to an AI looks like an FAQ question. Publishing real questions and answers, with FAQPage markup, matches exactly the format engines expect.
  • Structure and hierarchy — a clear H1, H2s phrased as questions, direct answers from the very first sentence, lists and tables: everything that makes extracting a passage easier.
  • Metadata — explicit titles and descriptions, clean canonicals, Open Graph: these fundamentals remain the entry point for AI crawlers.
  • Authority and E-E-A-T — identified authors, cited sources, mentions in the press and reference directories: models favour sources that reach consensus across the web.
  • Freshness and depth — dated, updated content that covers the topic in depth with figures and examples: search-augmented engines favour the recent and the substantial.

How do you measure your GEO visibility?

You cannot improve what you do not measure. The method: define a panel of questions your customers actually ask (per theme and per location), ask them regularly to each engine, and track four indicators.

  • Citation rate — the share of questions for which your brand appears in the answer.
  • Position — are you cited first, or fifth behind your competitors?
  • Share of voice — your weight in the answers compared with the competitors you track.
  • Sentiment and sources — what the AI says about you, and which websites it cites as sources — the ones you should invest in first.

This is exactly what GeoGenee automates: your questions are asked regularly to 10 engines (ChatGPT, Claude, Gemini, Perplexity, Mistral, Grok…) and you follow the evolution of your scores in a single dashboard.

Where to start?

Start with an assessment: a technical GEO audit of your website (structured data, llms.txt, AI crawlers, structure…) and a first measurement of your citations on 10 to 30 key questions. Fix the technical fundamentals first — often quick to implement — then work on citable content and authority. Measure every week, benchmark against your competitors and iterate.

Frequently asked questions

Does GEO replace SEO?

No. SEO remains essential and the two disciplines reinforce each other: a well-ranked, fast, well-structured website is more likely to be picked up by AI engines, several of which rely on classic search indexes. GEO adds an optimisation layer specific to answer engines.

How long does it take to see GEO results?

Technical fixes (schema.org, llms.txt, crawler access) can be taken into account within a few weeks by search-augmented engines such as Perplexity or ChatGPT Search. Authority gains and presence in model knowledge take several months. Hence the importance of regular measurement.

Which engines should you track first?

ChatGPT for audience, Google's AI Overviews and Gemini for search volume, Perplexity for purchase intent and its systematic citations, then Claude, Mistral or Grok depending on your market. Tracking several engines reveals large visibility gaps from one engine to another.

Does GEO work for a local business?

Yes, very well: local questions ("best plumber in Lyon") are a major AI use case. Local directories, customer reviews and localised pages with LocalBusiness markup then become the decisive levers.