AI search visibility8 min read·

What Is Generative Engine Optimization (GEO)? What the Research Actually Says

Generative engine optimization (GEO) helps your business get cited by ChatGPT, Perplexity and Gemini. What it is, how it differs from SEO, and what research shows works.

Generative engine optimization (GEO) is the practice of making your content more likely to be used and cited by generative AI engines when they answer a question. Those engines (ChatGPT, Perplexity, Gemini, Google's AI Overviews and AI Mode) don't return a list of links: they read several sources, write one answer and cite a few of them. GEO is about being one of those sources.

Where GEO comes from

The term was introduced in a 2023 research paper, GEO: Generative Engine Optimization, by Pranjal Aggarwal and colleagues, later accepted at KDD 2024. The authors built a benchmark of diverse user queries (GEO-bench) and tested how different changes to a source's content affected how visible it was in generative engine responses.

Their headline finding: GEO methods "can boost visibility by up to 40% in generative engine responses."

What the research found works (and what doesn't)

Three findings from the paper are directly useful for a business website:

  1. Evidence beats repetition. The top-performing methods were citing sources, adding quotations and adding statistics, which improved visibility by roughly 30-40% on the paper's main measure.
  2. Keyword stuffing doesn't work. Methods like keyword stuffing offered "little to no improvement" in generative engine responses.
  3. Smaller sites can gain the most. Lower-ranked websites "benefit significantly more from GEO." In the study, citing sources raised visibility by 115.1% for sites ranked fifth in search results, while the top-ranked site's visibility fell by 30.3% on average.

That last point matters for small service businesses. You don't need to be the biggest site in your market to be cited; you need content that's easier to trust and quote.

A caveat: this is one study on a research benchmark, run in 2023. Real AI assistants change constantly and don't publish how they choose sources. Treat these findings as direction, not a formula.

GEO vs. SEO vs. AEO

SEO AEO GEO
Goal A position in ranked results Be the direct answer Be cited inside an AI-written answer
Where Google, Bing results Answer features, assistants ChatGPT, Perplexity, Gemini, AI Overviews
Measured by Rankings, impressions, clicks Appearing as the answer Mentions and citations in AI answers

These aren't competing strategies. SEO is the foundation: Google states that to appear in its AI features, a page must be "indexed and eligible to be shown in Google Search with a snippet," with no additional requirements (Google Search Central). AEO and GEO then make your content easier to use as an answer and as a source. We cover AEO in detail in What is answer engine optimization.

What GEO looks like on a service business website

Translating the research into practical work:

And what to avoid: keyword-stuffed pages, vague superlatives, and content written for an algorithm instead of a customer.

How to know if GEO is working

There's no Search Console for ChatGPT. The practical method:

  1. Write 10 to 15 questions the way your customers ask them, including your service and city.
  2. Ask them in ChatGPT, Perplexity, Gemini and Google.
  3. Record whether you're mentioned or cited, where, and which competitors and sources appear.
  4. Repeat monthly with the same questions and compare.

Paid trackers can automate this; we compared them in our guide to AI SEO tools.

The bottom line

GEO isn't a trick. The research points the same way good marketing always has: specific, evidenced, quotable content from a business that's clear about who it is. The difference is that now a machine is reading it first, and deciding whether to pass it on.

If you want to know where you stand today, our AI visibility audit asks your customers' real questions across four AI assistants and gives you a prioritized list of fixes.

Related solutionSee how we do it →

Frequently asked questions

01

What is generative engine optimization?

GEO is the practice of making your content more likely to be used and cited by generative AI engines, such as ChatGPT, Perplexity, Gemini and Google's AI features, when they write an answer to someone's question.

02

Where does the term GEO come from?

It was introduced in a 2023 research paper, "GEO: Generative Engine Optimization" by Aggarwal and colleagues, accepted at KDD 2024. The authors reported that GEO methods could boost visibility in generative engine responses by up to 40% on their benchmark.

03

What is the difference between GEO and SEO?

SEO aims for a position in a ranked list of links. GEO aims for your content to be included and cited inside an AI-written answer. GEO builds on SEO: if your pages can't be crawled and indexed, they can't be cited.

04

What is the difference between GEO and AEO?

They overlap heavily. AEO usually refers to becoming the direct answer in answer features and assistants; GEO focuses on being one of the sources generative models cite. In practice, the same work serves both.

05

Does keyword stuffing help with GEO?

No. In the original GEO study, keyword stuffing offered little to no improvement. Adding cited sources, quotations and statistics performed best.

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