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What is generative engine optimization (GEO)?

Updated October 19, 2026 · 6 min read

Generative engine optimization, or GEO, is the work of making a business visible, correctly described and recommended in the answers of AI assistants such as ChatGPT, Claude, Gemini and Perplexity. Here is what it covers, how it relates to SEO, and how to begin.

A definition

Search engines return a list of links and let people choose. Generative engines, the AI assistants and AI search modes, return an answer: a few sentences and, often, a short list of names. Generative engine optimization is the practice of influencing that answer honestly, by making sure the information AI relies on about your business is available, accurate and confirmed by credible sources.

You will also see it called AI search optimization, answer engine optimization (AEO) or AI visibility. The names differ, the goal is the same: when a customer asks an assistant about your market, your business should appear, be described correctly, and be recommended when it fits.

How GEO differs from SEO

GEO builds on SEO rather than replacing it. Many AI answers draw on pages that search engines already index, so a site that is technically sound, fast and clearly written helps on both fronts. The differences are in what you aim for and how you measure it.

  • The unit of success is a mention or recommendation inside an answer, not a position in a list of links.
  • Being described correctly matters as much as being visible: an assistant that names you with the wrong service or the wrong city can cost you the customer.
  • Third-party sources weigh heavily. Assistants look for confirmation in reviews, directories and articles before they recommend.
  • Results vary between assistants, between questions and over time, so measurement relies on repeated questions rather than a single ranking.

Why it matters now

Buyers increasingly start their research by asking an assistant, and the assistant's short list shapes which providers they contact. For a business, that means a new place where customers form their first impression, and one that does not show up in website analytics in the usual way. A business can lose deals to competitors without ever knowing that an AI answer was the reason.

What GEO work involves

  1. Measuring: asking the questions customers ask, across the assistants they use, and recording who is named, how you are described and which sources are cited.
  2. Fixing understanding: making your own site state clearly what you do, for whom and where, in text and in structured data.
  3. Strengthening trust: being present, with consistent facts, on the directories, review platforms and publications your market relies on.
  4. Making action possible: publishing prices, contact details and ways to get started, so an assistant can send a customer to you.
  5. Monitoring: re-asking the same questions over time to see what changed and why.

What to avoid

Shortcuts that try to manipulate assistants, such as hidden text, mass-produced pages or fake reviews, tend to backfire: they undermine the very credibility assistants look for, and they can break platform rules. Durable GEO is mostly clarity and evidence: say plainly what you do, and make sure others say it too.

Where to start

Start with a baseline. Write down ten questions your customers really ask, ask them to two or three assistants, and note whether you appear, how you are described and who is named instead. That snapshot tells you whether your first problem is being found, being understood, or being trusted, and that decides what to fix first.