AEO Glossary
A comprehensive reference of Answer Engine Optimization and AI search terminology. Bookmark this page as your go-to AEO dictionary.
A
AEO (Answer Engine Optimization)
The practice of optimizing content and digital presence so that AI-powered answer engines — such as ChatGPT, Perplexity, Google Gemini, and Claude — can accurately find, interpret, and cite your brand in their responses.
AI Crawler
A web crawler operated by an AI company to index content for use in AI answer generation. Examples include GPTBot (OpenAI), Google-Extended (Google), and PerplexityBot (Perplexity). These crawlers function similarly to traditional search crawlers but feed data into AI retrieval systems.
AI Overviews
Google's feature that displays AI-generated summaries at the top of search results for informational queries. Formerly known as Search Generative Experience (SGE), AI Overviews synthesize information from multiple web sources into a single conversational answer.
Answer Engine
An AI-powered system that responds to user queries with direct, synthesized answers rather than a list of links. Major answer engines include ChatGPT, Perplexity, Google Gemini, and Claude. These systems use large language models and retrieval-augmented generation to produce responses.
B
Brand Sentiment
How positively, negatively, or neutrally AI models characterize a brand in their responses. AI brand sentiment is influenced by the tone and context of mentions across the brand's training data sources — reviews, press coverage, social media, and editorial content.
C
Citation
A reference to your brand, content, or data within an AI-generated response. Citations can be explicit (with a link) or implicit (mentioning your brand by name without a link). Earning citations is the primary goal of AEO.
Content Extractability
How easily AI models can extract clean, factual statements from your content. High extractability requires clear topic sentences, definition-style formatting, structured headings, and avoidance of ambiguity. A key AEO ranking factor.
Cross-Source Corroboration
The presence of consistent information about your brand across multiple independent, authoritative sources. AI models assign higher confidence to facts that are confirmed by several different sources, making corroboration a critical AEO factor.
E
Embedding
A mathematical representation of text as a vector (list of numbers) that captures semantic meaning. AI retrieval systems use embeddings to match user queries with relevant content based on meaning rather than keyword matching.
Entity
A uniquely identifiable thing — a person, organization, product, place, or concept — with defined attributes and relationships. In AEO, establishing your brand as a well-recognized entity in AI models' understanding is foundational to earning citations.
F
Featured Snippet
A highlighted answer block at the top of Google search results that directly answers a query. While a Google-specific feature, optimizing for featured snippets also improves AEO because the concise, extractable format that wins snippets is also ideal for AI citation.
G
GPTBot
OpenAI's web crawler that indexes content for use by ChatGPT and other OpenAI products. Identified by the user-agent string "GPTBot." Allowing GPTBot in your robots.txt is essential for ChatGPT visibility.
H
Hallucination
When an AI model generates information that is factually incorrect or fabricated but presented as truth. AEO helps reduce hallucinations about your brand by ensuring AI models have access to accurate, well-structured information from authoritative sources.
J
JSON-LD (JavaScript Object Notation for Linked Data)
The recommended format for implementing structured data (schema markup) on web pages. JSON-LD scripts are placed in the HTML head section and provide machine-readable metadata about the page content without affecting visual layout.
K
Knowledge Graph
A structured database of entities and their relationships. Google's Knowledge Graph contains billions of facts about people, places, and things. AI models reference knowledge graphs to verify facts and understand entity relationships. Building your presence in knowledge graphs is central to AEO.
L
LLM (Large Language Model)
An AI model trained on vast amounts of text data that can understand and generate human language. LLMs power answer engines like ChatGPT (GPT-4), Claude (Anthropic), and Gemini (Google). Understanding how LLMs process and retrieve information is fundamental to AEO.
llms.txt
An emerging standard file (placed at the domain root, similar to robots.txt) that provides AI-specific guidance about a website's content, purpose, and preferred attribution methods. Helps AI crawlers understand and correctly represent your site.
P
Perplexity
An AI-powered answer engine that combines real-time web search with language model generation to provide sourced, conversational answers. Known for including explicit source citations in its responses. A key platform for AEO optimization.
Q
Question Intent
The underlying purpose behind a question-format search query. In AEO keyword research, question intent is categorized as definitional (what is), comparative (which is better), procedural (how to), or evaluative (is it worth). Each type requires different content treatment.
R
RAG (Retrieval-Augmented Generation)
An AI architecture that combines real-time information retrieval with language model generation. Instead of relying solely on training data, RAG systems search external knowledge bases or the web to find relevant information, then use an LLM to synthesize it into a response. Powers real-time features in ChatGPT, Perplexity, and Gemini.
S
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. Implemented via JSON-LD, it provides explicit, machine-readable metadata about entities, products, articles, FAQs, and more.
Semantic Search
Search technology that understands the meaning and intent behind a query, rather than matching keywords literally. Both modern search engines and AI answer engines use semantic search to match user queries with relevant content based on conceptual similarity.
Speakable Schema
A Schema.org markup type that identifies sections of a web page that are particularly suitable for text-to-speech playback. Relevant for voice search AEO, as it helps AI voice assistants identify the best passage to read aloud as an answer.
Structured Data
Machine-readable information added to web pages that explicitly describes the content using a standardized vocabulary (Schema.org). Enables search engines and AI systems to extract facts with high confidence. A critical technical foundation for AEO.
T
V
Vector Database
A database optimized for storing and searching embedding vectors. Used in RAG systems to efficiently find content that is semantically similar to a user's query. Your content's representation in vector databases affects its retrievability by AI systems.
Voice Search
Search queries spoken to AI assistants (Siri, Alexa, Google Assistant, ChatGPT voice) rather than typed. Voice queries tend to be longer, more conversational, and more question-oriented than text queries, requiring specific content optimization approaches.
W
Wikidata
A free, open knowledge base maintained by the Wikimedia Foundation. Wikidata entries provide structured data about entities that AI systems and search engines reference. Having a Wikidata entry strengthens your brand's entity recognition in AI models.
Z
Zero-Click Search
A search query where the user gets their answer directly from the search results page (via featured snippets, AI Overviews, or knowledge panels) without clicking through to any website. AEO essentially optimizes for zero-click scenarios in AI platforms by ensuring your brand is named in the direct answer.