What Is GEO? A Plain-English Guide to Generative Engine Optimization for Small Businesses
This guide is based on peer-reviewed and preprint research on generative search published between 2023 and 2026, listed at the end. Where the evidence is weak or mixed, we say so.
More and more searches end without a click. People ask ChatGPT, Perplexity, Gemini or Google's AI Overviews a question, read a synthesised answer, and move on. If your business is mentioned in that answer, you win attention. If it is not, you may never know the question was asked.
Generative Engine Optimization (GEO) is the practice of improving how often, and how well, your content appears in those AI-generated answers. You may also see it called AEO (answer engine optimization) or "AI search visibility".
There is a lot of confident advice about GEO online. This guide is deliberately more careful. It explains how AI answers are put together, what the research actually shows, and seven steps that are worth doing whether or not every GEO claim holds up.
Where the term comes from
The term was introduced in a 2023 research paper, "GEO: Generative Engine Optimization", later published at the ACM KDD 2024 conference. The authors defined generative engines as systems that gather information from several sources and summarise it with a language model, and pointed out the problem for website owners: they have little control over whether and how their content is shown.
In the authors' own benchmark, content-optimisation strategies improved visibility in generative answers by up to 40%, and the most effective strategies varied by subject area. That last finding matters: there is no single GEO trick that works everywhere.
How an AI answer is built
Most AI search experiences follow roughly the same pipeline:
- Decide whether to search. For some questions the model answers from what it already knows; for others it searches the web.
- Retrieve. It fetches candidate pages, often through a search index.
- Select and rank. It picks which sources to read and in what order.
- Write the answer, drawing facts, wording or structure from some sources.
- Cite, sometimes. Some sources are linked; others influence the answer without a citation.
Each step is a place where your content can drop out. A 2026 critical review of 45 GEO studies makes the key point plainly: many reported GEO gains apply only to content that has already been retrieved. They do not show that rewriting a page makes AI engines find it in the first place. In other words, you cannot be cited if you are not retrieved, and you cannot be retrieved if you are not discoverable.
What the research shows so far
The field is young and moving fast, but several findings are consistent enough to act on.
AI answers are now everywhere in search. A 2026 study of 11,500 real queries found that Google showed an AI Overview for 51.5% of them, displayed above the organic results.
Different engines cite different sources. The same study found very little overlap between the sources used by Google's classic results, AI Overviews and Gemini. Another large comparison found that AI search engines differ from each other in domain diversity, freshness and sensitivity to how a question is phrased.
Answers are unstable. Running the same question twice can produce different answers and different sources. Studies report substantial run-to-run variability, so a single test tells you very little.
Blocking AI crawlers can reduce visibility. In the 2026 Google study, websites that blocked Google's AI crawler were significantly less likely to appear in AI Overviews.
Structured, evidence-rich pages are used more. An analysis of over 21,000 citations across ChatGPT, Google AI Overviews/Gemini and Perplexity found that the pages with the most influence on answers tended to be longer, more structured, closely matched to the question, and rich in extractable evidence: definitions, numbers, comparisons and step-by-step instructions.
Third-party mentions matter, and big brands have an advantage. One comparative study found AI search leaning heavily towards earned media, meaning independent, authoritative third-party sources, over brand-owned and social content. A separate 2026 brand-tracking study found household-name brands appearing in 73% of relevant AI answers on a first run, mid-market brands in 44%, and small or niche brands in just 11%. It also found "best-of" list articles to be the most-cited content format, at about 21% of citations.
Generic tricks transfer poorly. The 2026 review concludes that topical relevance is among the most reproducible levers, that one-size-fits-all heuristics transfer poorly between engines, and that no reviewed technique has yet shown a stable, long-term, cross-platform effect on being discovered. Some citation-focused rewrites even hurt retrieval.
A note on the evidence: several of these studies are preprints, and one comes from a company that sells AI-visibility tracking. Findings on whether AI engines favour brand-owned or third-party sources also differ between studies, likely because of different methods and queries. Treat the numbers as indications, not laws.
GEO vs SEO: what changes and what does not
| Traditional SEO | GEO | |
|---|---|---|
| Goal | Rank in a list of links | Be included, cited or accurately described in an answer |
| Unit of success | Position and clicks | Mentions, citations and how you are described |
| Main levers | Relevance, links, technical health | Relevance, extractable evidence, third-party mentions, crawlability |
| Measurement | Stable rankings, analytics | Repeated prompt testing; results vary run to run |
| Dependency | Stands on its own | Builds on SEO: many AI engines retrieve from search indexes first |
The honest summary: GEO is not a replacement for SEO. It is SEO plus a new layer. If your pages are not discoverable, structured and useful, no GEO technique will rescue them.
Seven practical steps for a small business
1. Make sure you can be found at all
Check that your important pages are indexed in Google Search Console and that your site loads quickly and cleanly. Review your robots.txt: if you block AI crawlers, understand that the research above links blocking to lower AI visibility. Whether to allow them is a business decision, especially for publishers, but make it deliberately.
2. Answer the question in the first lines
AI engines extract. Put a clear, direct answer near the top of each page, then expand. Use headings that mirror real questions people ask.
3. Add the evidence AI engines can lift
Definitions, specific numbers, comparison tables, dated facts and numbered steps all appear in the research as features of high-influence pages. Vague marketing language gives a model nothing to quote.
4. Cite sources and publish original data
In the original GEO paper's experiments, adding citations, quotations and statistics were among the more effective strategies. Original data is even better: if you are the source of a number, you become the page others cite. A small survey of your customers or a before-and-after test you ran yourself counts.
5. Earn mentions elsewhere
Because AI answers lean on third-party sources, and small brands start at a disadvantage, being mentioned on other sites matters. That means reviews on relevant platforms, inclusion in honest comparison and "best-of" articles, useful answers in communities where your customers ask questions, and coverage by niche publications. Paid or fake mentions are a reputational risk and not worth it.
6. Keep your facts consistent everywhere
Your pricing, product names, location and what you do should match across your website, profiles and listings. Inconsistent facts give a model conflicting information to choose between.
7. Measure with repeated prompts, not one-off checks
Write 15 to 30 questions your customers actually ask. Run them monthly in the AI engines your audience uses, more than once each, and record three things: whether you are mentioned, whether you are cited with a link, and whether the description is accurate. Because answers vary between runs, look for trends over months, not single results.
What to avoid
- Keyword stuffing and invisible text aimed at AI. Researchers are actively building defences against manipulative GEO rewriting, and it can also damage your credibility with human readers.
- Mass-produced AI content published without editing. It adds pages without adding evidence.
- Paying for "guaranteed ChatGPT rankings". No one controls these answers.
- Rewriting everything for one engine. Engines differ, and tactics that work for one can fail on another.
Tools that can help
You can start GEO with free tools: Google Search Console, a spreadsheet of test prompts, and the AI engines themselves. Paid tools that track AI mentions can save time once you are testing many prompts. Semrush now includes AI-visibility tracking from its $199-a-month Starter plan, and some lifetime-deal tools focus on it too; our SEO lifetime deals roundup and Semrush alternatives guide compare options. Treat any tool's AI-visibility score as directional, for the same reason the research urges caution: the answers themselves vary.
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Frequently asked questions
What is generative engine optimization (GEO)? GEO is the practice of improving how often and how accurately your content appears in answers produced by AI search tools such as ChatGPT, Perplexity, Gemini and Google AI Overviews. The term was introduced in a 2023 research paper published at KDD 2024.
Is GEO different from SEO? It builds on SEO rather than replacing it. Many AI search engines retrieve sources from search indexes before writing an answer, so being discoverable in search still matters. GEO adds a focus on being extractable, cited and accurately described.
How do I get my business mentioned by ChatGPT or Google AI Overviews? Make your pages discoverable and clearly structured, put direct answers and specific evidence on the page, publish original data, earn mentions on reputable third-party sites, and keep your business facts consistent everywhere. No method guarantees inclusion.
Does GEO really work? In controlled experiments, content changes improved visibility, by up to 40% in the original study. But a 2026 review of 45 studies found that these gains mostly apply to content already retrieved, and that no technique has yet shown a stable, long-term effect across platforms. Think of GEO as improving your odds, not controlling the outcome.
Should I block AI crawlers? It is a business decision. A 2026 study found that sites blocking Google's AI crawler were less likely to appear in AI Overviews. Publishers who depend on page views may still choose to block some crawlers.
How do I measure GEO? Run a fixed list of real customer questions in the AI engines your audience uses, several times each month, and record whether you are mentioned, cited and described accurately. Look at trends, because answers vary from run to run.
Sources
- Aggarwal, P. et al. "GEO: Generative Engine Optimization." Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024. DOI: 10.1145/3637528.3671900.
- Martínez, O. "Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization (2023–2026)." arXiv preprint, 2026. DOI: 10.48550/arxiv.2607.14035.
- Grossman, R. et al. "How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews." Proceedings of the 49th ACM SIGIR Conference, 2026. DOI: 10.1145/3805712.3809667.
- Zhang, K. et al. "From Citation Selection to Citation Absorption: A Measurement Framework for Generative Engine Optimization Across AI Search Platforms." arXiv preprint, 2026. DOI: 10.48550/arxiv.2604.25707.
- Chen, M. et al. "Generative Engine Optimization: How to Dominate AI Search." arXiv preprint, 2025. DOI: 10.48550/arxiv.2509.08919.
- Kumar, P. "Generative Engine Optimization at Scale: Measuring Brand Visibility Across AI Search Engines." arXiv preprint, 2026. DOI: 10.48550/arxiv.2606.20065.
- Li, H.-Z. et al. "When Optimization Becomes Manipulation: Defending Generative Search against Malicious Generative Engine Optimization." Preprint, 2026. DOI: 10.48550/arxiv.2609.02964.