- GEO, short for generative engine optimization, means making your content and brand easier for AI answer engines to find, understand and cite.
- The term comes from a 2023 research paper, later published at KDD 2024. Its headline, "up to 40%", comes from a benchmark and a simulated engine. It is not a lift to expect.
- Google says that for its AI features, optimising is still SEO, and it lists tactics you can skip.
- Most marketers still say SEO. In a July 2026 Fractl survey, only 27% of teams had formally adopted another term.
- Start by checking what AI says about you, not by rewriting your pages.
So, what is GEO?
GEO, or generative engine optimization, is the practice of making a brand's content easier for AI answer engines to find, understand and cite.
The term was introduced in a 2023 research paper that reported gains of up to 40% in a test setup. Those gains were measured on a benchmark, not in your category. Google says that for its own AI features, optimising is still SEO. Treat GEO as a useful label for the work, not a separate discipline with guaranteed returns — see GEO vs AEO vs SEO vs LLMO for how the labels actually compare.
Where did the term GEO come from?
From a paper called "GEO: Generative Engine Optimization", first posted on arXiv in November 2023 and published at the ACM KDD conference in August 2024. Pranjal Aggarwal and Vishvak Murahari led it, with co-authors from Princeton University and IIT Delhi among others.
The authors made three moves:
- They named "generative engines": a search engine plus language models that write an answer with citations.
- They proposed GEO as a way for content creators to improve their visibility in those answers.
- They built GEO-bench, a benchmark of 10,000 queries across 25 domains, to test it.
There is no ranked list in an AI answer, so the paper defined visibility with "impression" metrics, such as how much of the answer relates to your source and where it sits. That is not the same as being named. Keep the difference in mind when you read the numbers.
What does GEO include, and what does it leave out?
What the paper tested was changes to content. The strongest were adding citations to sources, adding quotations from credible sources, and adding statistics. Clearer, more fluent writing also helped.
In practice, teams also work on whether engines can access their pages, whether the facts about them are accurate, and what other sites say about them. The paper did not test those.
What GEO leaves out:
- Guarantees. Each engine makes its own call, and answers vary from run to run.
- Keyword stuffing. The paper found little to no gain from it. A more authoritative tone made no significant difference either.
- Search rankings. The authors say they did not evaluate effects on rankings.
What does Google say about optimising for its AI features?
Google's guide to generative AI features says that optimising for them is "still SEO". Its reasoning: the features are rooted in Google's core ranking and quality systems, so SEO best practice stays relevant. It also says that unique, non-commodity content will likely influence your presence more than any other suggestion in the guide.
It then lists things you can ignore for Google Search:
- llms.txt files and other special machine-readable files. Google Search does not use them, so they neither help nor harm.
- "Chunking" content into small pieces for AI.
- Rewriting content only for AI systems.
- Seeking inauthentic mentions across the web.
- Over-focusing on structured data. There is no special markup required.
It also warns against trusting third-party tools that claim to use Google's internal metrics.
One limit matters. The guide covers Google's AI Overviews and AI Mode. It says nothing about ChatGPT, Perplexity or Claude. We treat it as the definitive word on Google and as silent on everyone else.
What does the evidence actually show?
The "up to 40%" is real but narrow. This is what each claim rests on:
| Claim | Source | Scope | Strength |
|---|---|---|---|
| GEO can boost visibility by up to 40% | GEO paper (KDD 2024) | Relative gain on a defined impression metric. Simulated engine: top 5 Google results plus gpt-3.5-turbo. One randomly chosen source per query optimised. Averages over five runs | Peer-reviewed benchmark. Simulated, so not a promise for live engines |
| Citations, quotations and statistics gave the biggest gains (30% to 40% on one metric, 15% to 30% on another) | GEO paper | Same benchmark and engine | Same |
| Keyword stuffing gave little or no gain. On Perplexity.ai it scored about 10% below baseline, while other methods gained up to 37% on one metric | GEO paper, deployed-engine test | One live engine, tested in 2024 | One engine. A snapshot that can age |
| When every source was optimised, a fifth-ranked source gained most (+115.1% with citations) while the top-ranked source lost (-30.3%) | GEO paper | A scenario where all sources use GEO | Simulated scenario |
| For Google's AI features, SEO fundamentals apply, and llms.txt, chunking and AI-only rewrites are not needed | Google Search Central guide | Google AI Overviews and AI Mode only | First-party. Silent on other engines |
| 81% of marketers still say "SEO" internally. 27% of teams formally adopted another term | Fractl survey, July 2026 | 343 US marketing decision-makers, skewed to practitioners | Survey. Fractl sells AI services |
Read together: some content changes lifted visibility in a controlled test, and Google says the foundations are SEO. Nobody has published a guarantee for live engines.
Who should care about GEO, and who can wait?
Our view, which is opinion:
Care now if buyers in your category ask AI to shortlist options, if you sell visibility services to clients, or if your pages are accurate but thin on evidence.
Wait on the label if the basics are not done. Crawlable pages, accurate facts and content that answers a question clearly are the foundation, and Google says so for its own features — the same foundation AEO asks for, since the two overlap more than the separate names suggest.
Be careful when buying "GEO" from someone else. In the same Fractl survey, 36% named heavy buzzword use as their biggest red flag when judging a vendor. Ask for method, prompts, run counts and proof instead.
What is a sensible first step?
Measure before you change anything. See what AI says about you now, then change one thing you can defend, then check again. Adding a real source, a real quotation or a real statistic to a page is editing. Adding claims you cannot back up is not.
FAQ
Is GEO the same as SEO? For Google's AI features, Google says optimising is still SEO. GEO is a label for work focused on AI answers, and it overlaps heavily with SEO.
Is GEO the same as AEO? They overlap. AEO, answer engine optimization, focuses on being the answer an engine gives directly, rather than the wider set of AI-answer work GEO covers.
Does GEO work? Some content changes raised visibility in a test, as the table shows. No guarantee has been published for live engines, so measure your own results.
Is GEO manipulation? Adding real citations or statistics to true content is editing. Seeking fake or bought mentions is manipulation, and Google says inauthentic mentions are not as helpful as they seem.
Do I need llms.txt? Google says Google Search ignores it, so it neither helps nor harms there. Evidence for other engines is thin.
What to do next
- Check what AI says about you. Ask five to ten buyer questions, without your brand name, on two engines. Log whether you were named and cited.
- Fix access and accuracy first: make sure your pages are crawlable and the facts about you are right.
- Pick one page. Add a real source, quotation or statistic where it is true and useful, then check again.
To see one live answer now, try the AI Citation Snapshot. It asks one question on one engine and shows whether you are named and which sources were cited. It is one run: a first look, not an audit.
ContextOwl sells one-time AI visibility reports. We cover GEO here because the definition matters whichever tool you use.
Sources
- Aggarwal et al., "GEO: Generative Engine Optimization", Proceedings of the 30th ACM SIGKDD Conference (KDD '24), 25 to 29 August 2024; arXiv:2311.09735 (first posted 16 November 2023; version 3, 28 June 2024): https://arxiv.org/abs/2311.09735
- Google Search Central, "Optimizing your website for generative AI features on Google Search" (page last updated 10 July 2026): https://developers.google.com/search/docs/fundamentals/ai-optimization-guide
- Fractl, survey of 343 US marketing decision-makers (21 July 2026), as reported by PPC Land: https://ppc.land/marketers-still-call-it-seo-as-81-reject-geo-pitch-fractl-finds/
More in AI Search Basics
A results page ranks pages and lets you choose. An AI answer retrieves, selects and writes a few sentences that name a few brands for you.
There's no single citation algorithm. Retrieval, relevance, freshness and source type each play a part — and some of them are yours to influence.
AI knows a brand from memory built during training, or from pages fetched live. You can influence the second one quickly and the first one only slowly.