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What is GEO? Generative engine optimization explained
Generative engine optimization (GEO) is work aimed at getting a business mentioned or its pages cited in answers that generative AI systems write, such as ChatGPT, Gemini, Perplexity and Claude. It rests on the same foundations as SEO, and no one controls what an AI engine generates.
Key points
- GEO is a loose practitioner label, first named in a 2023 research paper.
- It rests on crawlable pages, clear facts and primary sources, as SEO does.
- A mention, a citation and a recommendation are three different observations.
- Answers vary by engine, interface, time and question, so results are samples.
In more detail
Generative engine optimization is a newer label for a familiar goal: being part of the answer. When someone asks an AI assistant for a recommendation, the assistant writes a reply. That reply may name a business, link to a page, do both or do neither. GEO is the work of making your business easy to describe and your pages easy to cite. The 2023 research paper that coined the term tested ideas on a benchmark of its own. Its results are research, not a rulebook for any live engine. In practice the work is plain. Keep your pages crawlable. State clear facts. Cite primary sources. Then sample real questions on named engines and write down what each one says. Nobody can guarantee a result, because the provider decides what its engine writes, and the answer can change from one day to the next.
Key terms
- GEO (generative engine optimization)
- Work aimed at getting a business mentioned or its pages cited in answers written by generative AI systems.
- Generative engine
- An AI system that writes an answer to a question, such as ChatGPT, Gemini, Perplexity or Claude, instead of listing links.
- Mention
- An answer that names the business.
- Citation
- An answer that links to a source page you can identify.
Where does the term GEO come from?
The term was introduced in a 2023 research paper by Aggarwal and co-authors, “GEO: Generative Engine Optimization”. It described a framework for improving how often content appears in the responses of generative search engines and tested it on a benchmark the authors built. They report that effectiveness differed by domain. Practitioners now use the word more loosely.
Read the abstract on arXiv. It is research on specific test conditions, not a rulebook for any live engine.
What does GEO work cover in practice?
In practice GEO is mostly good SEO and clear writing, plus checking what AI engines actually say. Most of the work happens on your own pages and in measurement. The list shows the pieces teams usually mean, and none of them promises a result.
- Let the search crawlers behind AI answers reach the pages that matter (see how to check AI crawler access).
- State plain, checkable facts about the business: what it does, where and for whom.
- Answer buyer questions near the top of the page, as in answer engine optimization.
- Back claims with real evidence and primary sources, and label estimates.
- Keep facts consistent across your own pages.
- Sample real buyer questions on named engines and record what comes back.
What is the difference between a mention, a citation and a recommendation?
A mention means the answer names the business. A citation means the answer links to a page you can identify. A recommendation means the answer presents the business as an option for the buyer’s need. One answer can contain any of these, or none, so record each separately.
| Observation | What it means | What to record |
|---|---|---|
| Mention | The answer names the business. | The exact wording and the surrounding context. |
| Citation | The answer links to a source page. | The destination URL, since a directory listing is a different source. |
| Recommendation | The answer presents the business as an option. | Whether the context is positive, a warning or incidental. |
| Not mentioned | A usable answer was collected and the business was absent. | The engine, date and question. An error or refusal is not a negative result. |
The methodology defines the same terms in more detail.
Can anyone guarantee a GEO result?
No. A provider decides what its engine writes, and the same question can return different answers on different days, engines and interfaces. Consumer apps and developer APIs can also behave differently. A trustworthy report states what was sampled and how, labels projections as estimates, and promises no mentions, rankings or revenue.
Google makes the same point for its own AI features: no extra requirements beyond normal Search eligibility, and no guarantee of inclusion.
Where does Xaeo fit?
Xaeo is a pre-launch product that will generate white-label AI visibility fix reports for SEO agencies. For each client it records which businesses AI engines mention, labels how strong the evidence behind each problem is, and lists fixes. The public site is an illustrative demo with sample results. Beta opens November 2026.
See the AEO vs GEO vs SEO guide and the agency workflow for more.