Generative engine optimization (GEO) is the work of making a brand easy for AI tools such as ChatGPT, Gemini, Perplexity and Google AI Overviews to find, understand and cite accurately. These tools build answers from web pages they can retrieve and from what is said about a brand across many sources. GEO therefore combines three things: crawler access to your pages, clear and consistent facts about the business, and credible third-party mentions that confirm those facts.
How AI tools build their answers
Most AI assistants answer in one of two ways. Some rely on what the model learned during training, which reflects the web at a fixed point in time. Others search the live web for each question, retrieve a handful of pages and write an answer from them, usually with links to the sources. Many tools now combine both.
For a business, the retrieval step matters most. When an assistant searches the web, it can only cite pages it is allowed to crawl, can read easily, and judges trustworthy enough to repeat. That is the part GEO can influence directly.
Let the right crawlers in
AI companies use separate crawlers for search and for model training, and each is controlled through the site’s robots.txt file:
- Googlebot crawls for Google Search, including AI Overviews and AI Mode. A page must be indexed and eligible to show a snippet before it can appear as a supporting link in those features.
- Google-Extended is not a separate crawler. It is a setting that controls whether content may be used for Gemini training, and Google states it does not affect Search inclusion or ranking.
- OAI-SearchBot decides whether pages can appear in ChatGPT search answers. GPTBot collects content for training OpenAI models. The two settings are independent.
- PerplexityBot and Claude-SearchBot serve the search features of Perplexity and Claude.
A common mistake is blocking every AI-related crawler at once. That can remove a site from AI search answers entirely. A business that wants citations but not training use can allow the search crawlers and disallow the training ones.
Make your brand facts unambiguous
AI tools treat a business as an entity: a named thing with attributes such as location, services, founders, prices and reviews. When those attributes conflict across sources, assistants may skip the brand or describe it wrongly. Entity clarity means stating the same facts the same way everywhere:
- One business name, address and phone number on the website, Google Business Profile, social profiles and directories.
- An About page that states plainly what the business does, where it operates and since when.
- Service and product pages that name the offering, who it is for and what it costs or how it is priced.
- Organization and LocalBusiness structured data that matches the visible page content.
Write pages AI tools can quote
Pages that get cited tend to answer a specific question directly and stand up on their own when a passage is lifted out. In practice that means:
- Opening each section with a direct answer, then adding the detail.
- Using specific, checkable facts: dates, locations, prices, specifications and named methods.
- Defining terms explicitly instead of assuming the reader knows them.
- Keeping statistics sourced and current, and removing claims that cannot be backed up.
- Updating pages when facts change, since assistants that search the live web can pick up the newer version.
This overlaps with answer engine optimization (AEO), which focuses on getting individual answers extracted.
Earn mentions on sources AI tools trust
An assistant is more likely to recommend a brand when independent sources say the same thing about it. Useful sources include established news outlets, industry publications, professional associations, review platforms and well-maintained directories. Coverage earned through digital PR and press releases helps here, as do genuine customer reviews. Self-published claims alone carry less weight, because they cannot confirm themselves.
How to measure GEO
AI answers change from day to day and differ between users, so GEO is measured as a trend, not a single score:
- A fixed prompt set: the same 20 to 50 questions buyers ask, run on a regular schedule in each assistant that matters to you.
- Mention and citation rate: how often the brand is named, and how often your pages are linked as sources.
- Accuracy: whether descriptions, prices and locations are correct, with errors traced back to the source that caused them.
- Referral traffic: visits from AI tools, which analytics platforms can separate from other referrals.
GEO, SEO and AEO working together
GEO does not replace search engine optimization. AI search features draw heavily on pages that are already indexed, trusted and relevant, which is what SEO builds. AEO shapes individual answers, and GEO widens the focus to how the brand is understood across the whole web. Our SEO vs AEO vs GEO comparison explains how to split effort between them.