What Is Generative Engine Optimization (GEO)?

Generative engine optimization (GEO) is the work of making your content more likely to be used and cited when an AI tool writes an answer. Tools like Google AI Overviews, ChatGPT search and Perplexity search the web first, then write one response from the pages they find and link some of them as sources. GEO is about being one of those sources. It builds on SEO rather than replacing it. This article is part of our AI search optimization guide.

What generative engine optimization means

A traditional search engine returns a ranked list of links. A generative engine returns a written answer. It reads several pages, combines what they say and attaches citations to parts of the answer. Your page might supply one sentence, a full paragraph or nothing.

That changes what "visible" means. In a list of links, position is a fair measure. In a written answer, a page can be cited first or last, quoted at length or barely used. The researchers who named GEO made the same point. They argued that ranking position alone does not capture visibility inside an AI answer.

So GEO asks a different question from classic SEO. Not "where do I rank?" but "does the answer use my content, and does it credit me?"

Where the term GEO came from

The name comes from a research paper called "GEO: Generative Engine Optimization." It was written by researchers from Princeton University, IIT Delhi and independent collaborators. It was first posted in November 2023 and presented at the KDD 2024 conference.

The paper did three things. It described how generative engines work in general terms. It proposed ways to measure a source's visibility inside an AI answer, such as how many words in the answer are tied to that source and how early it appears. It also built a benchmark of 10,000 queries, called GEO-bench, to test content changes.

The term has since spread well beyond research. You will also hear "AI search optimization," "AI SEO" and "LLM optimization." They describe overlapping work. We compare the three in GEO vs SEO vs AEO.

How generative engines pick and cite sources

Every major engine follows the same broad pattern. It interprets the question, retrieves candidate pages, then writes an answer grounded in what it retrieved. The details differ, and the companies publish very little about how they choose between pages.

Here is what each one documents about how it reaches the web.

Two details matter for GEO. Google says AI Overviews and AI Mode may use "query fan-out," running related searches across subtopics. OpenAI says ChatGPT search often rewrites a question into one or more targeted queries. In both cases, the page that gets cited may be answering a narrower sub-question than the one the user typed.

For the Google side in more depth, read how Google AI Overviews choose sources.

What GEO work looks like on a real site

Strip away the label and GEO comes down to five jobs.

1. Access. Make sure the crawlers each engine uses can reach your pages. That means robots.txt rules and any CDN or firewall bot settings.
2. Eligibility. Get pages indexed. Google says a page must be indexed and eligible for a snippet to appear as a supporting link in AI Overviews.
3. Clarity. Answer the question directly near the top of the page, then give detail. Keep important facts in plain HTML text, not only in images or scripts.
4. Evidence. Back claims with specific facts and named sources. Keep business details accurate and consistent wherever they appear.
5. Measurement. Check which questions cite you, track AI referral traffic and repeat the checks over time.

None of these is exotic. Google states plainly that there are no extra requirements and no special schema for AI features. That is why GEO starts with SEO. The difference is emphasis: GEO cares more about whether a passage can stand on its own as a quotable answer.

If you want help with this, our in-house SEO team does this work end to end, including reporting on where clients are mentioned in Google AI Overviews and ChatGPT.

What the research does and doesn't tell you

The GEO paper tested nine ways of rewriting web content. Each change was applied to one of the top five Google results for a query, then an AI model wrote an answer from those five sources.

The changes that helped most added material: citations to credible sources, quotations and statistics. The paper reports visibility gains of up to 40% on its own benchmark. Simple fluency and readability edits also helped. Keyword stuffing did not; it scored worse than the unmodified pages on the main measure. The paper also found that results varied by topic, and that lower-ranked pages gained more than top-ranked ones.

What the research does not tell you is how any commercial engine weighs one page against another today. Nobody outside those companies knows that. Be skeptical of any checklist that claims to.

How GEO relates to SEO

GEO and SEO share most of their foundations. A page that cannot be crawled or indexed will not rank and will not be cited. A page with a vague answer will struggle in both.

Where they differ is the unit of success. SEO works at the level of the page and its position. GEO works at the level of the passage, the fact and the brand mention. A single clear paragraph can earn a citation for a question your page never targeted.

The practical takeaway: keep doing SEO well, then check that your best answers read cleanly when lifted out of the page. For how this applies to a business serving one area, see how this plays out for a local service business.