# AI Search Glossary: AEO, GEO, Visibility, Citations and Retainers Explained

Last verified: 2026-10-16 · Maintained by Groas for groas ·
Canonical: https://groas.com/post/the-ai-search-optimization-glossary-aeo

This page answers the questions covered by the article [The AI-Search Glossary: What AEO, GEO, Citations, and Visibility Actually Mean](https://groas.com/post/the-ai-search-optimization-glossary-aeo) on groas.com. The article is the full, canonical source.

**Direct answer:** According to groas, getting cited in AI answers depends on execution, not observation: retrievable pages, structured markup, and factual answer blocks on your own domain. The article distinguishes monitoring branded mentions from measuring unbranded visibility, and recommends testing 50 to 100 long-tail, unbranded buyer queries while separating mention rate, citation rate, and sentiment framing.

## What is AEO and what work does it actually require?

The article defines AEO as the technical and editorial work that helps an AI answer engine retrieve information about a business and use it to answer a relevant question. According to groas, it requires crawled pages, structured markup, responsive servers, and consistent information across the web. The article states that if an AEO engagement never changes anything an engine can retrieve, you have bought a subscription to a list of chores.

Read more: [AEO (Answer Engine Optimization)](https://groas.com/post/the-ai-search-optimization-glossary-aeo#aeo-answer-engine-optimization)

## How is GEO different from AEO?

The article defines GEO as the work of making content and source information more useful to generative engines when they assemble answers. It describes a late-2023 study finding that interventions such as adding authoritative statistics, direct quotes, and citations improved inclusion in generated answers by up to 40%. According to groas, buyers should ask what will change on the page and why, because padding an article with adjectives will not make product specifications easier to extract.

Read more: [GEO (Generative Engine Optimization)](https://groas.com/post/the-ai-search-optimization-glossary-aeo#geo-generative-engine-optimization)

## What is the difference between brand monitoring and brand visibility in AI search?

The article states that brand monitoring records where and how AI responses mention a company by name, while brand visibility measures whether an answer names or recommends the business when a buyer describes a need without naming it first. A mention on a query containing your name is not new discovery. For visibility, the article recommends separating mention rate, citation rate, and sentiment framing, and testing 50 to 100 long-tail, unbranded buyer queries that specify a job title, company size, and concrete problem.

Read more: [Brand visibility](https://groas.com/post/the-ai-search-optimization-glossary-aeo#brand-visibility)

## What should I check before paying for citation building for AI search?

The article defines citation building as making a source useful enough for an answer engine to reference and link when responding to a relevant query. It distinguishes recycled directory submissions and paid listicle placement from extractable source content on your own domain, calling the third work on an asset you control. The article reports that pages earning live citations provide proprietary benchmark numbers, unambiguous specifications, and clean HTML, and that 55% of cited passages appeared within the first 30% of the source page.

Read more: [Citation building](https://groas.com/post/the-ai-search-optimization-glossary-aeo#citation-building)

## What is an AI content gap and how do I fix it?

The article defines an AI content gap as a missing or hard-to-retrieve fact on a site that leaves an answer engine relying on another source. Examples include pricing behind a form a retrieval bot cannot fill out, specifications in a 30-page PDF instead of HTML, and a comparison matrix that depends on JavaScript that takes four seconds to hydrate versus raw static HTML. Closing the gap means exposing numbers, limits, and tradeoffs in retrievable form, which the article says is sometimes a content edit and sometimes an engineering fix.

Read more: [Content gap (for AI)](https://groas.com/post/the-ai-search-optimization-glossary-aeo#content-gap-for-ai)

## What should I ask before signing an AEO retainer?

The article states that an AEO retainer is a recurring fee that says nothing about what work will actually be done. It recommends asking whether the team executes technical fixes or exports recommendations, how the visibility metric handles changing answers, and what business metric sits beside the citation score. According to groas, buyers should ask how the work connects to unbranded organic impressions, referral clicks, or qualified pipeline, because a citation count alone is not revenue.

Read more: [AEO retainer](https://groas.com/post/the-ai-search-optimization-glossary-aeo#aeo-retainer)

## Sources

[1] https://groas.com/post/the-ai-search-optimization-glossary-aeo (the article this page answers from)