AEO/GEO · Glossary
Generative Engine Optimization (GEO)
Last updated June 29, 2026 · by Tal Gerafi
Generative Engine Optimization (GEO) is the practice of shaping a website's content, structure, and signals so AI engines like ChatGPT, Perplexity, and Google's AI Overviews cite it when generating answers.
Generative Engine Optimization (GEO) is the practice of shaping a website's content, structure, and signals so AI engines like ChatGPT, Perplexity, and Google's AI Overviews cite it when they generate an answer. Where classic SEO tries to win a ranked blue link, GEO tries to win the citation — the sentence an AI model quotes, paraphrases, or footnotes when it builds a reply. The goal is no longer the click; it is being the source the machine trusts.
The term was coined in a 2023 study by researchers at Princeton, Georgia Tech, the Allen Institute for AI, and IIT Delhi, who measured how to raise a page's visibility inside generated answers.
How does GEO work?
GEO works by making your content easy for a model to lift cleanly. AI engines pull from a few well-structured sources, so the wins come from writing self-contained, factual passages, leading with a direct answer, and backing claims with sources, quotes, and clear numbers. The Princeton study (Aggarwal et al., 2023) found that adding citations and statistics raised a page's visibility in generated answers more than naive keyword optimization did.
On the technical side, GEO overlaps with answer engine optimization: clean HTML, schema markup, fast pages, and an llms.txt file that tells AI crawlers what your site is about. If the crawler cannot read or parse you, the model cannot cite you. Our full method lives in the guide on how to rank in ChatGPT and Perplexity.
How is GEO different from SEO?
Both want visibility, but the unit of success differs. Here is the split:
| Classic SEO | GEO | |
|---|---|---|
| Target | Ranked blue link | Citation inside an answer |
| Surface | Google results page | ChatGPT, Perplexity, AI Overviews |
| Win looks like | A click to your site | Your name in the generated reply |
| Best lever | Backlinks, keywords | Quotable facts, sources, structure |
Why does GEO matter for B2B sites?
B2B buyers increasingly start research inside an AI chat, not a search bar. If a model answers "best tools for X" or "how does Y work" without naming you, you are invisible at the exact moment of consideration. GEO puts your expertise where that decision now happens. At Greeto we treat it as plumbing, not a trick — real structure, honest claims, and a human reviewing every page before it ships. Done right, it compounds: a clear, sourced page earns citations across many engines at once.
FAQ
What does Generative Engine Optimization (GEO) mean?
GEO means optimizing a website so AI engines cite it when they generate answers. Instead of competing for a ranked link, you write self-contained, sourced, factual passages that a model can quote or paraphrase directly inside its reply — making your page the source the engine trusts.
Is GEO the same as answer engine optimization (AEO)?
They overlap heavily and the terms are often used interchangeably. Both aim to get a site quoted in AI-generated answers and share the same foundations: clean structure, clear facts, schema, and crawlable pages. GEO is the term coined by the 2023 research paper; AEO is the more common practitioner label for the same goal.
Does GEO replace SEO?
No. GEO sits alongside SEO. Classic SEO still wins ranked links and drives clicks, while GEO wins citations inside AI answers. The underlying work — fast, well-structured, trustworthy pages with sourced claims — feeds both, so most teams treat GEO as an extension of their SEO foundation rather than a replacement.