Generative engine optimization (GEO): what it means

Generative engine optimization, GEO, is work to make a page one of the sources a generative system draws on when it composes an answer, and to have it represented accurately there. The term comes from a 2023 paper. It is one of the terms of the AI SEO niche, and Google treats it, for its own search, as SEO.

Where the term comes from

The name comes from a paper, "GEO: Generative Engine Optimization", by Pranjal Aggarwal and five co-authors, first posted to arXiv on 2023-11-16 and accepted at the KDD 2024 conference. Its authors describe generative engines as systems that answer queries "by synthesizing information from multiple sources and summarizing them using LLMs", and they introduce GEO as a way "to aid content creators in improving their content visibility in generative engine responses."

The paper's starting point is the publisher's problem. In a list of links, a page is either shown or not. In a composed answer, a page can be used without being visible, paraphrased without being named, or left out entirely, and its authors note that creators "have little to no control over when and how their content is displayed."

What the research measured

The paper tested changes to source pages against a benchmark of its own, GEO-bench, a set of queries across several domains with the web sources that answer them. It reports that the methods it studied "can boost visibility by up to 40% in generative engine responses."

Two qualifications come with that figure. It is a result measured on the authors' benchmark and visibility metrics, not a forecast for any site. And the paper itself adds that "the efficacy of these strategies varies across domains." The useful conclusion is narrower than the headline number: how a source is written affects whether a generator uses it, and the effect depends on the subject.

What GEO asks of a page

GEO asks a page to be worth composing from: specific, attributable and consistent. A generator assembling an answer from several sources has to choose between them where they differ, and a vague or self-contradicting page gives it nothing to choose.

• Say the specific thing

  A concrete figure, name or condition is more useful to a composed answer than a general claim that every source repeats.

• Attribute what you state

  A fact with its source and date can be checked and reused; an unsourced one competes with every other unsourced version of it.

• Keep the site consistent

  Two pages that disagree about the same fact make the site an unreliable source on that fact, whichever page is read.

• Make the text available

  A page whose content a system cannot read, or reads only after scripts run, cannot be composed from at all.

None of these is a trick. They are the same qualities that make a page useful to a person who reads it.

What Google says about GEO

Google addresses the term directly. Its guide to generative AI features in Search, last updated on 2026-07-10 and checked on 2026-10-12, defines AEO and GEO as "terms you may see used to describe work specifically focused on improving visibility in AI search experiences," and adds: "From Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO."

Its page on AI features and your website, last updated on 2025-12-10, says of AI Overviews and AI Mode: "There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary." Among the things it says you do not need are special files and markup; that includes an llms.txt file. How Google chooses the pages it links there is covered under AI Overviews.

That position covers Google Search, including its AI features. Other generative systems choose their sources in their own ways, which is why the term remains a useful description of what a page competes for outside Google.

Measuring it

Measuring GEO is harder than measuring a ranking, because a composed answer can use a page without linking it. For Google's own AI features there is a first-party source: its guide points to the Generative AI performance report in Search Console as the way to see how content performs in generative AI features on Search and Discover.

For other systems there is no shared equivalent, and the same guide warns against tools that "promise ranking success or claim to use "internal" Google metrics." A sensible approach is modest: check the questions your pages answer in the systems your readers use, note whether and how the page is cited, and repeat after changes rather than reading a single check as a trend.

GEO next to AEO

GEO and AEO are often used as synonyms, but they describe different outcomes. AEO aims at being the passage an answer engine lifts and shows; GEO aims at being among the sources behind a composed answer. A side-by-side comparison of the two, and of each against ordinary SEO, is covered under AEO vs GEO.

Where tags fit in

A composed answer is built from text, and a page's own description of itself helps a system decide what the page is before it reads further. Titles, descriptions and structured data are that description, and a page without them leaves the system to infer it. Filling the ones that are missing, without touching the ones somebody wrote, is the part of this work that AI SEO enrichment does.

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