AEOHow we research and reviewPublished September 16, 202610 min read

25 AEO & GEO Terms Every B2B Marketer Should Know (2026 Glossary)

A plain-English glossary of the 25 AEO, GEO and AI-search terms that show up most in 2026 — from answer engine and citation rate to entity SEO and zero-click search.

25 AEO & GEO Terms Every B2B Marketer Should Know (2026 Glossary)

Direct answer

What do AEO, GEO and the other AI-search terms mean?

AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) both describe optimizing content so AI systems can find, understand and cite it — the terms are used near-interchangeably in 2026 industry usage. The glossary below defines the 25 terms that come up most often around AEO/GEO, AI search and entity SEO, each in one or two plain sentences.

01

AEO and GEO are functionally synonymous in most 2026 usage, despite originating from slightly different angles.

02

Most of these terms describe measurement concepts (citation rate, share of voice) rather than ranking tactics.

03

Understanding the vocabulary is a prerequisite for reading any AI-visibility tool's report correctly.

AEO and GEO vocabulary spread faster than anyone standardized it, which is why the same term can mean slightly different things depending on which vendor's blog you read.

This glossary sticks to plain, one-or-two-sentence definitions — no vendor spin, no invented statistics attached to a definition that doesn't need one.

Core concepts

Answer Engine Optimization (AEO)

Optimizing content so AI-powered answer engines can find, understand and cite it inside a generated response, rather than only ranking it in a list of links.

Generative Engine Optimization (GEO)

A near-synonymous term for AEO that emphasizes optimizing for generative AI systems specifically. In most 2026 industry usage, AEO and GEO are used interchangeably.

Answer engine

A search or assistant product that returns a synthesized answer directly, rather than — or in addition to — a list of links. ChatGPT, Perplexity and Google AI Overviews are commonly cited examples.

Zero-click search

A search result or AI-generated answer where the user gets what they need directly on the results page or inside the assistant, and never clicks through to a website.

Prompt intent

The underlying question or need behind a specific prompt a user types into an AI assistant, distinct from the exact wording used to express it.

RAG (Retrieval-Augmented Generation)

A technique where an AI system retrieves relevant documents from an external source — often the live web — before generating its answer, rather than relying only on knowledge learned during training.

Measurement

Citation rate

How often an AI system's generated answer includes a link or explicit reference to a specific page or domain, out of the prompts tested.

Mention rate

How often a brand name appears in an AI-generated answer, whether or not that mention is accompanied by a citation link.

Share of voice (AI search)

A brand's mention or citation frequency relative to named competitors, measured across the same fixed set of prompts.

Prompt testing

Manually or programmatically running a fixed set of prompts against AI assistants to observe brand visibility, one sample at a time.

AI referral traffic

Website visits attributed to a session that arrived from an AI assistant's interface, typically identified via referrer domain or UTM parameters.

Directional data

A description applied to AI-visibility measurements to signal that they represent an observed sample at a point in time, not a guaranteed or permanent state.

For a worked example of citation rate and share of voice applied to a real prompt set, see LLM Citation Auditing & Brand Share of Voice.

Technical & entity terms

Entity

A distinct, identifiable concept — a company, product, person or place — that a search engine or AI system can recognize and disambiguate from similar concepts.

Entity clarity

How easily a website communicates who or what an entity is, using explicit, consistent language rather than vague branding a machine has to guess at.

Knowledge Graph

Google's structured database of entities and their relationships, used to inform search results and some AI-generated features.

Structured data / Schema markup

A standardized — commonly JSON-LD — format for describing a page's content and entities in a machine-readable way, most often using vocabulary from schema.org.

llms.txt

A proposed plain-text file, similar in spirit to robots.txt, intended to give AI systems a curated summary of a site's most important pages.

Crawler access

Whether an automated bot — including AI crawlers like GPTBot or PerplexityBot — is technically permitted and able to retrieve a page's content.

Server-side rendering (SSR)

Rendering a page's HTML on the server before it reaches the browser or crawler, as opposed to relying on client-side JavaScript to build the page after load.

Entity clarity and Knowledge Graph readiness are covered in depth in Entity-Node Engineering for AI Crawlers, and llms.txt implementation is covered in llms.txt for SEO & AI Search.

The search landscape

AI Overviews

Google's AI-generated summary feature that can appear above traditional organic results for some queries.

AI Mode

Google's more conversational, chat-based search experience — a distinct surface from the AI Overviews feature embedded in classic search results.

Answer box / featured snippet

A pre-generative-AI Google search feature that displays a direct excerpt answering a query above the organic results, still active on many queries alongside newer AI features.

Topical authority

The degree to which a website is treated as a credible, comprehensive source on a given subject, typically built through consistent, in-depth coverage over time rather than a single article.

E-E-A-T

Google's Experience, Expertise, Authoritativeness and Trustworthiness framework, used in its quality-rater guidelines to describe what distinguishes reliable content.

Illustrative case study

Content that models a realistic scenario or pattern for teaching purposes, explicitly labeled as not representing a verified real client outcome — a distinction we apply throughout this site.

Our own labeling convention for illustrative versus verified content is explained on the Editorial Standards page.

Vocabulary is step one

Now see which of these terms apply to your own site.

Run Growthract's free diagnostic to check entity clarity, structured data and crawler access against your actual website.

AEO & GEO glossary FAQs

Is GEO different from AEO?

The terms originated from slightly different angles — GEO from generative-AI-specific research, AEO from a broader answer-engine framing — but in 2026 industry usage they are treated as functionally interchangeable.

Do I need to know all 25 terms to do AEO work?

No. The measurement terms (citation rate, mention rate, share of voice) and the technical terms (entity clarity, structured data, crawler access) are the ones that come up most often in practice.

Why does this glossary avoid attaching statistics to definitions?

A definition should be stable and source-independent. Numbers tied to a specific study belong with that study's citation — see our AI search & AEO statistics roundup for those.

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