What GEO means
Generative engine optimization is the work of making a brand easy for AI answer engines to find, quote and describe correctly. Ask ChatGPT, Perplexity or Google’s AI Mode a question and the engine fetches a set of web pages, writes an answer from them and usually links back to some of them. GEO tries to get your pages into that set, and to make what the engine says about you accurate.
Google calls its version of this retrieval-augmented generation: its core ranking systems pull relevant pages from the Search index, and the model writes a response with links to the pages that support it (Google Search Central). Other engines run their own crawlers for the job. OpenAI, for example, uses OAI-SearchBot to surface sites in ChatGPT’s search features (OpenAI).
No one can make an engine cite a page. GEO removes what blocks you and improves the odds. The engine still decides.
Where does the term come from?
From a research paper. “GEO: Generative Engine Optimization” by Pranjal Aggarwal and five co-authors was posted to arXiv in November 2023 and accepted to KDD 2024 (arXiv 2311.09735). The authors built a test engine that fetched the top five Google results for a query and had gpt-3.5-turbo write the answer. Then they rewrote the source pages nine different ways and measured which edits made a source more visible in the answer, across GEO-bench, a set of 10,000 queries they assembled.
Three results still shape how people talk about GEO:
- Adding citations, quotations from relevant sources and statistics worked best. The abstract reports visibility gains of up to 40% in generative engine responses.
- Keyword stuffing, the old SEO habit, didn’t perform well.
- Lower-ranked pages gained the most. In a test where every source was optimised, the Cite Sources method raised visibility for the page ranked fifth in search by 115.1%, while the top-ranked page lost 30.3% on average.
Read those numbers with their conditions attached. They come from a lab engine built on 2023 models and scored with the paper’s own visibility metrics. On Perplexity.ai, a live engine, the authors report gains of up to 37%. Their limitations section says the methods may need to adapt as generative engines change. So the paper shows that how a page is sourced and worded changes how an AI uses it. It doesn’t forecast what will happen to your site.
Is GEO different from SEO?
Google says no, at least for Google. Its guide to generative AI search says that, from Google Search’s point of view, optimising for generative AI search is still SEO, because AI Overviews and AI Mode run on its core ranking and quality systems (Google Search Central).
That statement covers Google’s products only. ChatGPT, Perplexity and Claude use their own crawlers with their own robots.txt names, so a site can be open to Googlebot and closed to them. And what an AI says about your brand has to be checked by asking it. Those two areas are where GEO adds work SEO didn’t use to include. GEO vs SEO goes through the overlap and the differences.
What does GEO work include?
Four kinds of work, and most of it is ordinary site and content work aimed at a new kind of reader.
| Work | What it involves | Why it matters |
|---|---|---|
| Crawler access | robots.txt and firewall rules that let Googlebot, OAI-SearchBot, PerplexityBot and Claude-SearchBot reach your pages | An engine can’t use a page its crawler can’t fetch |
| Content worth quoting | First-hand data, named sources, answers stated plainly at the start of a section | Google asks for unique, non-commodity content; in the GEO paper, adding sources, quotes and statistics did best |
| Consistent facts about the brand | The same name, services, locations and figures on your site, profiles and listings | Google says its AI features can show what’s said about products and services across blogs, videos and forums |
| Measurement | Search Console’s Generative AI performance report for Google; a fixed list of prompts checked on a schedule for other engines | No single report covers every engine |
The tactics behind each row are in how to get cited by AI search. If the engine you care about gives one direct answer rather than a list of sources, answer engine optimization is the closer fit.
What should you be wary of when buying GEO?
Guarantees. Google says third-party tools have no access to its internal ranking data and can’t guarantee performance, and it names “AEO” and “GEO” tools among the services to evaluate critically (Google Search Central). A proposal that promises a place in ChatGPT’s or Google’s answers is promising something nobody outside those companies controls.
Other red flags in a GEO pitch:
- An llms.txt file or special “AI markup” sold as the fix for Google. Google says Google Search ignores llms.txt and needs no special schema.org markup for its AI features (Google Search Central). The file may still matter for other services.
- A plan to publish a page for every variation of a question. Google says doing that mainly to manipulate AI responses breaks its scaled content abuse policy.
- Bought or fake mentions on forums and blogs. Google says seeking inauthentic mentions isn’t as helpful as it might seem, because its AI features rely on the same systems that block spam.
- Monthly reports built on a proprietary “AI visibility score” with no prompts, dates or screenshots behind it. We’d ask to see the raw answers.
A good answer names the prompts the vendor will track, on which engines, how often, and which page changes they’ll make and why. More questions that separate good pitches from weak ones are in vendor pitch questions. To compare agencies, see the GEO agency ranking.
Why does it matter now?
Because people are moving some of their searching into AI answers, and Google says so itself: its guide opens by noting that people increasingly turn to generative AI experiences to find information (Google Search Central). By August 31, 2026, Google had rolled out a Search Console report to all sites that counts their impressions in AI Overviews and AI Mode (Search Console Help).
When a buyer asks an engine for a shortlist, the brands left off it never get the introduction. How much that costs you depends on your category, and it’s worth measuring before you spend on it. Ask the engines the questions your buyers ask, note who gets named, and repeat in a month.