What is generative engine optimization (GEO)? Definition and how it works

Generative engine optimization (GEO) gets your brand cited and recommended in AI-generated answers. How it works, how to measure it and mistakes to avoid.

  • Alvaro Peña de Luna Alvaro Peña de Luna
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    Wednesday, Sep 30, 2026

Generative engine optimization (GEO) is the practice of increasing how often, and how favorably, AI engines that write answers (such as ChatGPT, Perplexity and Google’s AI features) mention, recommend and cite your brand when they respond to questions about your market.

Where AEO focuses on becoming the one direct answer, GEO deals with the longer, synthesized answers that compare options, list providers and recommend a few of them. The goal is to be in that answer, described accurately, and ideally as the recommendation.

How generative engines build an answer

A generative engine usually goes through three steps:

  1. It interprets the question and, when it searches the web, often splits it into several related searches (see query fan-out).
  2. It retrieves sources: pages from a search index, which it reads and uses to support the answer. This is retrieval-augmented generation.
  3. It writes the answer, combining those sources with what the model already knows, and decides which brands to name, in what order and in what tone.

GEO acts on steps two and three: making sure the pages that engines retrieve say the right things about you, and that your brand is clearly associated with the questions you want to own.

Why GEO matters for brands

In a list of search results, a user sees ten options and chooses. In a generated answer, the engine has already chosen: it names a handful of brands and often says which one fits best. If you are not in that answer, you are not in the consideration set, however well your site ranks. And because answers are generated from third-party sources as well as your own pages, what reviews, comparisons and articles say about you counts as much as your own copy.

What GEO work looks like

  • Clear positioning statements. Sentences like “X is a Y for Z” on your own pages give engines a precise description to reuse.
  • Presence in the sources engines cite. Comparisons, reviews, directories and expert articles in your category. Check which domains appear as sources for your prompts and work on those first.
  • Specific, verifiable facts. Prices, features, figures and dates are easier to cite than general claims.
  • Consistent entities. The same name, category and key facts across your site, profiles and third-party pages. See entity SEO.
  • Crawlable pages. Engines can only retrieve what their crawlers can read.

For the full optimization playbook, see our guide to AI search optimization, and for how this differs from classic search, GEO vs SEO.

How to measure GEO

GEO has two outcomes to track: being named in the answer and being cited as a source.

Citation rate = answers that cite at least one of your pages ÷ answers returned × 100

If you run 50 prompts on one engine each week for 4 weeks, you get 200 answers. If 30 of them list one of your pages among the sources, your citation rate is 15%. Pair it with how often you are named, and with your share of voice against competitors, because a mention that recommends you is worth more than a passing reference. Our article on GEO metrics covers the full set.

Common GEO mistakes

  • Counting mentions without reading them. Being named in a warning is not a win. Tone and type matter as much as frequency.
  • Tracking only your brand. GEO is relative: the same answer names your competitors, and their gains are your losses.
  • Only publishing on your own site. Engines often cite third parties. If no one else writes about you, there is little for the engine to find.
  • Treating one engine as the whole market. ChatGPT, Perplexity and Google can give different answers to the same question.

How Mencoro measures GEO

Mencoro checks your prompts on ChatGPT, Perplexity, Google AI Overview and Google AI Mode and classifies every brand mention by type (recommendation, comparison, listing, example or reference), tone and whether it is direct or conditional. It also records the sources each answer returns and marks the ones that point to your domains. From that it calculates Coverage, Favorability, Share of voice weighted by mention quality, and your mention and link positions, all next to the competitors you track. The competitor analysis feature shows those comparisons, and the methodology page lists every formula. If you are comparing platforms, see our list of GEO tools.

FAQ

Frequently asked questions

It was popularised by a 2023 academic paper titled “GEO: Generative Engine Optimization”, which studied how content changes affect visibility in generative search answers. Since then the industry has used GEO as the general name for optimizing brand presence in AI answers.
A mention is your brand named in the text of the answer. A citation is one of your pages listed as a source. You can have one without the other: an engine may recommend you while citing a review site, or cite your page without naming your brand in the text.
Changes that affect what engines retrieve, such as a new comparison page or coverage on a site they already cite, can show up within weeks for engines that search the web. Changes to what a model knows without searching only arrive when the model is retrained, which can take months.
Yes, especially on specific questions. Generative answers are built per question, so a niche brand that is clearly described as the best fit for a use case can be recommended there even if a larger competitor dominates broad queries.

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