Generative engine optimization (GEO) is the practice of shaping your content so AI systems that write answers, such as ChatGPT, Perplexity and Google's AI features, use and cite it. The term comes from a 2023 research paper. In practice it overlaps heavily with answer engine optimization and ordinary good SEO.
Where does the term GEO come from?
The phrase was introduced in the paper GEO: Generative Engine Optimization by researchers Pranjal Aggarwal and colleagues, accepted to the KDD 2024 conference. The authors defined a generative engine as a search system that gathers sources and writes a single answer from them, and they asked a practical question: can a content creator change a page so it shows up more in that answer?
That makes GEO an academic label that marketers adopted. It describes the same goal as AEO. If you want the broader definition and how it relates to classic SEO, start with what is answer engine optimization.
What did the research actually find?
The team built a benchmark of queries and tested several ways of rewriting source content, then measured how visible each version was in a generative engine's response. They ran the test on Perplexity.ai. Two findings are worth knowing:
- Adding evidence helped. The paper reports that including citations, quotations from relevant sources, and statistics improved source visibility, with the best methods improving on the baseline by roughly 30 to 40 percent on its main visibility measure.
- Keyword stuffing did not. The authors found that adding more of the query's keywords offered little to no improvement in generative engine responses.
The abstract describes the gain as "up to 40%", which is a best case, not an average. The paper also notes that results vary by domain and type of question. Treat the numbers as evidence of direction, not a promise for your site. The test used one engine at one point in time, and the products have changed since.
Is GEO different from SEO?
Mostly in emphasis, not in kind. Here is how the two compare.
| Classic SEO | GEO | |
|---|---|---|
| Goal | Rank a page in a list of links | Be used as a source inside a written answer |
| Unit that wins | The whole page | A passage or fact that can be lifted out |
| Basics required | Crawlable, indexed, useful | The same, plus clear and checkable claims |
| What stops working | Thin pages, copied content | Keyword repetition, vague unsourced claims |
Google is direct about this for its own features. Its guidance for AI features in Search states that there are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary. The same page says these features may use a "query fan-out" technique, issuing multiple related searches across subtopics and data sources.
Put together, that suggests a plain reading: your page needs to be eligible for ordinary Search, and it helps if it covers the related subtopics a question branches into.
What should you actually do?
You do not need a separate program. These steps follow from the research and from Google's guidance, in order of effort.
- Make sure crawlers can reach you. A page that is blocked cannot be used. See our guide to allowing ChatGPT and Perplexity in robots.txt.
- Lead with the answer. Put the direct answer in the first paragraph so a system can lift it cleanly.
- Back claims with sources. Name where a number or quote comes from and link it. This is the part the research found most useful, and it makes your page more trustworthy to human readers anyway.
- Cover the neighboring questions. If a question fans out into subtopics, answer the obvious ones on the same page or link to a page that does.
- Write plainly. The paper also saw gains from clearer, more fluent text.
- Skip the tricks. Do not repeat keywords or add markup that is not matched by visible content.
For engine-specific checklists, see how to get cited by ChatGPT and how to appear in Google AI Overviews. The full set is on the AI search visibility hub.
How do you know if GEO is working?
This is the hard part, because there is no dashboard in Google Search Console that separates AI answer appearances from normal results. The practical approach is to pick 10 to 20 questions your customers ask, ask them in each assistant on a regular schedule, and note whether your domain is cited. Record the date, since answers change. Nightcrop's reports track whether AI answer engines cite your domain, which saves doing that by hand.
Frequently Asked Questions
Is GEO the same as AEO?
For most practical purposes, yes. GEO is the research term, AEO is the one marketers use more often, and both aim to get your content used in AI-written answers.
Does GEO replace SEO?
No. Your pages still need to be crawlable, indexed and useful, and Google says there are no special extra requirements for its AI features.
Does keyword stuffing work for AI answers?
The GEO research found little to no improvement from it. Clear claims with sources performed better.
Can I guarantee a citation from ChatGPT or Perplexity?
No. You can remove blockers and make your content easy to quote, but you cannot control which sources an assistant picks.
How long does it take to see results?
It varies. Pages must be crawled first, and assistants update on their own schedules, so measure over weeks rather than days.