AEO Glossary:
40+ Terms Defined

AEO (Agent Experience Optimization)

The practice of optimizing content to be cited, referenced, or used as a source by AI-powered answer engines such as ChatGPT, Perplexity, Gemini, and Claude. AEO focuses on making content machine-readable, factually authoritative, and structurally clear so AI retrieval systems select it as a source.^[3]

Relevance: This is the core discipline. Every other term in this glossary connects back to AEO.

AI Overviews

Google's AI-generated summary boxes that appear at the top of search results for many queries. Formerly called Search Generative Experience (SGE), AI Overviews pull information from multiple sources and display a synthesized answer with citations. Getting cited in AI Overviews is a major AEO goal.^[4]

Relevance: One of the three primary AI answer surfaces alongside ChatGPT and Perplexity.

Agent Experience

Any AI-powered platform that generates direct answers to user queries instead of returning a list of links. Unlike traditional search engines, answer engines synthesize information from multiple sources and present a single, coherent response. Examples include ChatGPT Search, Perplexity AI, and Google AI Overviews.

Relevance: The "AE" in AEO. These are the platforms you are optimizing for.

Answer Share

The percentage of AI-generated answers for a set of queries where your domain is cited as a source. Similar to "share of voice" in traditional SEO, answer share measures your brand's visibility in AI answers compared to competitors.

Relevance: The primary AEO metric that enterprise teams track to measure competitive position.

BreadcrumbList

A Schema.org type that defines the navigational path to a page within a website hierarchy. BreadcrumbList schema helps AI engines understand your site structure and how individual pages relate to each other. It also generates breadcrumb rich results in Google search.^[5]

Relevance: A foundational schema type that improves both SEO rich results and AI content parsing.

Citation

A reference to your content by an AI answer engine. When ChatGPT, Perplexity, or Google AI Overviews includes a link or mention of your website in its generated answer, that is a citation. Citations are the primary output that AEO aims to increase.

Relevance: The core unit of AEO measurement. More citations means more AI visibility.

Citation Dominance

When a single domain is cited in the majority of AI-generated answers for a topic cluster. Citation dominance indicates that AI engines consider your content the most authoritative source for that subject area. Achieving citation dominance requires comprehensive, well-structured, frequently updated content.

Relevance: The ultimate AEO goal for competitive topics. Requires sustained effort across content, schema, and authority.

Citation Rate

The frequency at which a specific piece of content or domain is cited by AI engines for relevant queries. Citation rate is measured as a percentage: if your site is cited in 3 out of 10 AI answers for tracked queries, your citation rate is 30%.

Relevance: The most granular AEO performance metric. Track this for individual pages and topic clusters.

Claude

An AI assistant built by Anthropic. Claude uses a combination of training data and, in some contexts, web retrieval to answer questions. Claude is notable for its focus on safety and accuracy. Optimizing for Claude involves ensuring your content is factual, well-sourced, and clearly structured.^[6]

Relevance: One of the major AI platforms to optimize for. See our Claude optimization guide.

ClaudeBot

The web crawler used by Anthropic to gather training and retrieval data for Claude. ClaudeBot identifies itself in the User-Agent string and respects robots.txt directives. Allowing ClaudeBot access is necessary if you want Claude to be able to find and cite your content.

Relevance: Check your robots.txt to ensure ClaudeBot is not blocked if you want Claude citations.

Content Architecture

The way content is organized, structured, and interlinked across a website. For AEO, content architecture means using clear headings, logical section hierarchy, internal links between related topics, and structured data to create a web of connected, machine-readable information.

Relevance: AI retrieval systems perform better when content is logically organized and cross-referenced.

Crawlability

The ability of web crawlers (both traditional search engine bots and AI crawlers) to access and read your content. Crawlability depends on robots.txt settings, server response times, JavaScript rendering, and authentication barriers. If an AI crawler cannot access your page, it cannot cite it.

Relevance: The first gate in the AEO pipeline. If crawlers are blocked, nothing else matters.

E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness)

Google's quality framework for evaluating content. E-E-A-T is not a direct ranking factor but influences how Google rates content quality. For AEO, E-E-A-T principles matter because AI engines also prioritize authoritative, trustworthy sources. Content that demonstrates real expertise is more likely to be cited.^[7]

Relevance: The quality signals that make content citation-worthy for both Google and AI engines.

Entity

A uniquely identifiable thing, person, place, organization, or concept that AI systems can recognize and differentiate. Entities are the building blocks of knowledge graphs. In AEO, making your brand, products, and topic areas recognizable as distinct entities helps AI engines understand and reference your content accurately.

Relevance: Entity clarity is a top-5 AEO signal. Use schema markup to define your entities explicitly.

Entity Graph

A network of entities and the relationships between them. AI engines use entity graphs to understand context: for example, that "Apple" the tech company is different from "apple" the fruit. Building a clear entity graph through schema markup and consistent content helps AI engines correctly associate your brand with your expertise areas.

Relevance: Well-defined entity graphs reduce AI hallucination risk and improve citation accuracy.

FAQPage Schema

A Schema.org type that marks up a page containing frequently asked questions and their answers. FAQPage schema is one of the most impactful AEO schema types because AI engines often look for question-answer pairs when generating responses. Pages with FAQPage schema have a significantly higher citation rate.^[8]

Relevance: One of the highest-ROI schema implementations for AEO. Add it to every page with FAQ content.

Featured Snippet

A highlighted answer box that appears at the top of Google search results, pulled from a web page. Featured snippets are the SEO equivalent of AI citations. Content that wins featured snippets is often the same content that gets cited by AI engines, because both require clear, concise, authoritative answers.

Relevance: Strong correlation between featured snippet wins and AI citation rates. Optimize for both.

GEO (Generative Engine Optimization)

The broader discipline of optimizing content for AI-powered generative systems. GEO encompasses AEO (answer engines) and also covers optimization for AI content generators, chatbots, and any system that uses retrieval-augmented generation (RAG). Some practitioners use AEO and GEO interchangeably, but GEO is technically the larger umbrella.^[9]

Relevance: The umbrella term. AEO is the most commonly targeted subset of GEO.

Generative Search

A search paradigm where the search engine generates a synthesized answer from multiple sources instead of returning a list of links. Google AI Overviews, ChatGPT Search, and Perplexity AI are all generative search systems. This model fundamentally changes how users interact with information online.

Relevance: The paradigm shift driving the need for AEO. Generative search is replacing link-based search.

Golden Answer

A definitive, authoritative, and comprehensive answer to a specific question that AI engines consistently select and cite. A golden answer is clear, factual, well-structured, and addresses the user's intent completely. Creating golden answers for your target queries is a core AEO content strategy.

Relevance: The content creation target. Each page should aim to be the "golden answer" for its primary query.

GPTBot

OpenAI's web crawler that gathers data for training and retrieval in ChatGPT and related products. GPTBot identifies itself in the User-Agent header and respects robots.txt. Blocking GPTBot prevents ChatGPT from accessing and citing your content. Most AEO strategies require allowing GPTBot access.^[10]

Relevance: If GPTBot is blocked in your robots.txt, ChatGPT cannot cite your content.

Hallucination

When an AI model generates information that sounds plausible but is factually incorrect. Hallucinations occur because language models predict likely word sequences rather than verifying facts. For AEO, providing clear, accurate, well-sourced content helps reduce the chance that AI engines hallucinate about your brand or products.

Relevance: Clear, authoritative content reduces AI hallucination risk about your brand.

HowTo Schema

A Schema.org type that marks up step-by-step instructions. HowTo schema tells AI engines the exact sequence of steps needed to complete a task. It is particularly effective for instructional content, tutorials, and how-to guides. Pages with HowTo schema are more likely to be cited when users ask AI engines "how to" questions.^[11]

Relevance: High-impact schema type for instructional and procedural content.

JSON-LD (JavaScript Object Notation for Linked Data)

The recommended format for embedding structured data (schema markup) in web pages. JSON-LD uses a script tag in the page head to provide machine-readable metadata about the page content. Google, AI engines, and most search platforms prefer JSON-LD over other structured data formats like Microdata or RDFa.^[12]

Relevance: The standard format for AEO schema markup. Use JSON-LD for all structured data.

Knowledge Graph

A database of entities and their relationships used by search engines and AI systems to understand the world. Google's Knowledge Graph contains billions of facts. AI engines reference knowledge graphs to verify information and understand context. Building your entity presence in knowledge graphs improves AEO performance.

Relevance: Knowledge graph presence boosts entity authority, a key factor in AI source selection.

LLM (Large Language Model)

The AI architecture that powers answer engines like ChatGPT, Claude, and Gemini. LLMs are trained on massive text datasets and generate human-like text by predicting the next most likely token. Understanding how LLMs work helps you create content that aligns with their retrieval and generation patterns.

Relevance: The technology behind every answer engine. AEO is about optimizing for LLM-powered systems.

llms.txt

A proposed standard file (similar to robots.txt) that provides AI crawlers with a structured summary of a website's most important content, pages, and metadata. While not yet universally adopted, llms.txt helps AI systems quickly understand what your site offers and which pages are most authoritative.

Relevance: Emerging standard. Early adopters get an edge in helping AI engines discover their best content.

OAI-SearchBot

OpenAI's dedicated search crawler, separate from GPTBot. OAI-SearchBot is used specifically for ChatGPT's real-time search feature, retrieving fresh web results when users ask current-events questions. Allowing OAI-SearchBot in robots.txt is essential for appearing in ChatGPT's live search results.^[10]

Relevance: Required for ChatGPT Search citations. Different from GPTBot which handles training data.

Perplexity

An AI-powered answer engine that provides sourced, citation-heavy responses to user queries. Perplexity is notable for always showing inline citations with numbered references. It has become one of the most important platforms for AEO because of its transparent citation system and growing user base.^[13]

Relevance: Top-3 AEO platform. See our Perplexity optimization guide.

PerplexityBot

The web crawler used by Perplexity AI to retrieve real-time information for answering user queries. PerplexityBot crawls pages on-demand when users ask questions, making it different from batch crawlers. Fast page load times and clean HTML are especially important for PerplexityBot.

Relevance: Allow PerplexityBot access and ensure fast load times for maximum Perplexity citations.

Prompt

The text input a user provides to an AI system. In the context of AEO, understanding common prompts in your industry helps you create content that aligns with how people actually ask AI engines for information. Prompt research is the AEO equivalent of keyword research.

Relevance: Understanding prompts helps you create content that matches real user queries to AI engines.

RAG (Retrieval-Augmented Generation)

The technical architecture most AI answer engines use. RAG combines two steps: first, retrieving relevant documents from the web or a knowledge base (retrieval), then using those documents as context for generating an answer (generation). Understanding RAG is key to AEO because it explains why content structure, clarity, and authority matter.^[14]

Relevance: The core technology behind AI search. See our detailed RAG explainer.

Schema Markup

Structured data vocabulary from Schema.org that you add to your web pages to help search engines and AI systems understand your content. Schema markup uses a standardized set of types and properties (Article, Product, Organization, FAQPage, etc.) to describe what your content is about in a machine-readable format.^[1]

Relevance: The single most impactful technical AEO optimization. Use our Schema Generator to get started.

SGE (Search Generative Experience)

The original name for Google's AI-powered search results, now called AI Overviews. SGE launched in Google Labs in 2023 and was renamed to AI Overviews when it rolled out to all users in 2024. You may still see "SGE" in older articles and documentation. It refers to the same feature.

Relevance: Legacy term. Now called AI Overviews. Same optimization strategies apply.

Structured Data

Any data organized in a predefined format that machines can easily read and interpret. In AEO, structured data typically refers to schema markup implemented via JSON-LD. Structured data helps AI retrieval systems quickly parse your content's meaning, entities, and relationships without relying on natural language understanding alone.

Relevance: The broader concept that includes schema markup. All AEO strategies rely on structured data.

Token

The basic unit of text that LLMs process. A token is roughly 3-4 characters or about 0.75 words in English. Tokens matter for AEO because AI engines have context windows (maximum token limits) that constrain how much content they can process at once. Concise, well-structured content is more likely to fit within retrieval token budgets.^[15]

Relevance: Understanding token limits explains why concise, structured content performs better in AI retrieval.

Zero-Click Search

A search interaction where the user gets their answer directly on the search results page (or from an AI engine) without clicking through to any website. AI-generated answers are a major driver of zero-click searches. AEO addresses this by ensuring your brand is visible in the answer itself, even when users do not click through.

Relevance: The trend driving AEO adoption. If users never click, you need visibility inside the answer.

What is the difference between AEO and GEO?

AEO (Agent Experience Optimization) specifically targets answer engines that cite sources, like ChatGPT, Perplexity, and Google AI Overviews. GEO (Generative Engine Optimization) is the broader umbrella that includes AEO plus optimization for any generative AI system. In practice, most people use the terms interchangeably.

Is AEO replacing SEO?

No. AEO complements SEO. Traditional search still drives the majority of web traffic. AEO addresses the growing share of users who get information from AI engines. The best strategy is to do both. See our AEO vs SEO comparison for details.

What is a citation in AEO?

A citation is when an AI engine references your content as a source in its generated answer. This could be a direct link (like Perplexity's numbered references), a brand mention, or a "Learn more" attribution. Citations are the primary metric of AEO success.

What is RAG and why does it matter for AEO?

RAG (Retrieval-Augmented Generation) is the architecture that most AI answer engines use. It retrieves relevant web documents, then uses them as context to generate an answer. RAG matters for AEO because your content needs to be retrieved first before it can be cited. Structure, authority, and freshness all influence retrieval.

How do I check if AI crawlers can access my site?

Check your robots.txt file for rules about GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, and Google-Extended. If any of these are blocked with "Disallow: /", AI engines cannot crawl your content. Use our free audit tool to check crawler access automatically.

What schema types are most important for AEO?

The highest-impact schema types for AEO are: Article (for content pages), FAQPage (for Q&A content), Organization (for brand identity), Product (for e-commerce), HowTo (for instructional content), and BreadcrumbList (for site structure). Start with Article and Organization, then expand from there.

What does "zero-click search" mean for my business?

Zero-click search means users get their answer without visiting your website. This is common with AI-generated answers. While it reduces direct traffic, AEO ensures your brand is still visible inside the answer. Being cited builds brand awareness and trust even when users do not click through.

Will this glossary be updated?

Yes. We update this glossary monthly as the AEO field evolves. New terms are added, definitions are refined, and deprecated terms are noted. Check back regularly or follow our updates.