What Is Generative Engine Optimization (GEO)?

How GEO works and where the term comes from

When you ask an AI search tool a question, it often searches the web or its own index of web pages (sometimes running several related searches), pulls relevant pages, and has a large language model (the kind of AI behind tools like ChatGPT) write an answer from them, sometimes with links to the sources. Other answers draw only on what the model learned during training, with no live sources at all.

GEO tries to influence both paths: make your pages easy to retrieve, easy to quote, and consistent enough that the model describes you correctly. The term comes from a 2023 research paper, “GEO: Generative Engine Optimization,” by researchers from Princeton University and other institutions. In their tests, content changes such as citing sources, adding quotations, and including relevant statistics made a source more visible in generated answers. Most tests ran on a simulated AI search engine, with an additional test on Perplexity, and the effect varied by topic. The results are not a promise of how any live product behaves today.

Since then, marketers have stretched the term to cover many tactics, and it overlaps heavily with answer engine optimization (AEO).

Common GEO practices

Most GEO advice builds on solid SEO fundamentals. Practices that come up often include:

• Be crawlable and indexable. Make sure important pages load without logins and appear in search engines. Your robots.txt file tells crawlers (the automated programs that read websites for search engines and AI tools) which pages they may visit. Check its rules for both search engine crawlers and the AI crawlers that companies document. Some companies run separate crawlers for model training and for search, so a rule aimed at one may not affect the other.
• Correct outdated information at the source. AI answers can repeat old details from archived pages, directories, or forum posts, like the discontinued pump in the example. Update or retire outdated pages and fix old listings so the current version is what gets retrieved.
• Share original expertise. First-hand data, test results, specifications, and expert explanations give an AI tool something worth citing that it cannot find elsewhere.
• Keep your business details clear and consistent. State plainly who you are and what you offer, and make sure your name, location, products, and descriptions match across your site, directories, review sites, and profiles. Entity SEO covers this in more depth.
• Cite your sources. Back up claims with references to reputable sources. In the original GEO study, adding citations was one of the changes linked to higher visibility in AI answers.

How to track results

There is no complete, cross-platform GEO report the way there is for search rankings, so most teams combine a few signals:

• Mentions and citations. Ask the AI tools your buyers use a fixed set of real questions on a regular schedule. Record whether your business is mentioned, whether your pages are cited or linked, and whether the description is accurate.
• Webmaster tool reports. Check Google Search Console and Bing Webmaster Tools for whatever reporting they offer on their own AI features. Coverage is partial and still changing, and most other AI tools share no data with site owners.
• Referral traffic. Check your analytics for visits from AI tools such as ChatGPT, Perplexity, Gemini, or Copilot. Clicks from Google’s AI Overviews and AI Mode are generally counted as regular Google search traffic, so analytics usually can’t separate them. Other AI visits may also lack clear referral data, so treat this as a partial view.
• Indirect signals. Note when buyers say on calls or forms that they found you through an AI assistant.

Answers change with wording, location, personalization, and model updates, and can differ even when the same question is asked twice. Look for patterns across many checks, not single responses. Many AI answers are also zero-click: the person gets what they need without visiting your site. Being described accurately can still matter, even when it never shows up as traffic.

What GEO can’t control

AI companies publish little about how their systems choose sources, and there is no independent standard for what counts as good GEO. Be cautious with anyone who promises guaranteed placement in AI answers.

You also have limited control. A model may summarize your page inaccurately, cite a competitor or a forum instead, or repeat outdated information it learned during training. Results can differ from one tool to the next and from one week to the next.

Finally, you can’t force your way into AI answers. Avoid tactics designed to trick AI systems, such as hidden text or mass-produced pages stuffed with claims. Search engines treat many of these as spam, and they erode trust with the people who read your content. The approach that holds up best is the one that serves readers: accurate, specific, well-sourced information that is easy to find.

GEO vs. SEO

GEO builds on SEO rather than replacing it: pages that search engines can’t find or understand are harder for AI tools to find, too.