AEO Glossary: Every Term You Need to Know
Updated July 2026 · By Kaleigh Moore
AI search optimization comes with its own vocabulary. Whether you are preparing for an interview, reading a job description, or building your first AEO strategy, this glossary covers the terms you will encounter most.
AEO (Answer Engine Optimization)
The practice of optimizing content, website structure, and brand signals so AI-powered answer engines can understand, cite, and recommend your business. AEO focuses on earning visibility in AI-generated responses rather than traditional search engine results pages.
AI Mode
Google's conversational AI search interface that generates multi-paragraph answers using information from across the web. Launched in 2025, AI Mode represents Google's shift toward AI-first search and is a primary surface for AEO practitioners to optimize for.
AI Overview
AI-generated summary boxes that appear at the top of Google search results for many queries. Powered by Google's Gemini model, these overviews synthesize information from multiple sources and often reduce click-through to underlying websites.
AI Visibility
A measure of how frequently and favorably a brand, product, or piece of content is mentioned, cited, or recommended in AI-generated responses across platforms like ChatGPT, Gemini, Perplexity, and Google AI Mode.
AISO (AI Search Optimization)
The broadest umbrella term for optimizing content and brand presence across AI-powered search interfaces. AISO encompasses AEO, GEO, and related practices. It is the most common label in job postings, with roughly 11,000 related openings across the US.
Brand Entity
The representation of a brand as a distinct, recognizable concept within AI knowledge systems. A strong brand entity includes consistent naming, structured data, knowledge graph presence, and cross-platform signals that help AI models identify and trust the brand as an authoritative source.
Citation
When an AI model references a specific source in its generated response. Citations can be explicit (with a link or source name) or implicit (paraphrasing content without attribution). Earning citations is the primary goal of AEO, analogous to earning rankings in SEO.
Citation Share
The percentage of relevant AI-generated responses that cite your brand versus competitors. This is emerging as the core performance metric for AEO, similar to how share of voice functions in traditional marketing.
Content Architecture
How information is structured, organized, and linked across a website. For AEO, effective content architecture means organizing content so AI models can easily identify the most relevant passages for specific queries and understand the relationships between topics.
E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness)
Google's quality framework for evaluating content. While originally an SEO concept, E-E-A-T signals are increasingly important for AI citation because AI models use similar trust signals when choosing which sources to reference in generated answers.
Entity Optimization
The process of strengthening how AI systems recognize and categorize your brand, products, or people. This includes schema markup, knowledge graph optimization, consistent cross-platform presence, and building the signals that help AI models treat your brand as a trusted entity.
GEO (Generative Engine Optimization)
Optimization specifically targeting generative AI systems. GEO emphasizes understanding how large language models process, synthesize, and present information. Used more in thought leadership and strategy contexts than in job postings, but broadly interchangeable with AEO in practice.
Grounding
The process by which AI models connect their generated responses to real-world facts and sources. Well-grounded responses cite specific, verifiable sources. AEO aims to make your content a preferred grounding source for relevant queries.
Hallucination
When an AI model generates information that is factually incorrect or fabricated. Hallucination risk is why AI models increasingly prioritize citing trustworthy, well-structured sources. Brands with strong entity signals and structured data are less likely to be misrepresented.
JSON-LD
JavaScript Object Notation for Linked Data. The preferred format for implementing structured data (schema markup) on websites. JSON-LD is embedded in page headers and provides machine-readable information about your content, organization, products, and other entities.
Knowledge Graph
A structured database of entities and their relationships. Google's Knowledge Graph, Wikidata, and other knowledge bases are key sources that AI models use to verify and contextualize information. Building your presence in these knowledge systems is a core AEO tactic.
Knowledge Panel
An information box that appears in Google search results for well-recognized entities. Having a Knowledge Panel indicates that Google has identified your brand as a distinct entity, which correlates with stronger AI search visibility.
LLMO (Large Language Model Optimization)
Optimization focused specifically on how large language models (like GPT, Gemini, and Claude) process and present information. LLMO is a more technical term that emphasizes the model-level mechanics of AI search visibility.
Passage Retrieval
The process by which AI systems identify and extract specific text passages from web pages to use in generated responses. Unlike traditional SEO where the entire page ranks, AEO success often depends on individual passages being selected for citation.
Prompt Testing
Systematically querying AI models with variations of relevant prompts to understand how your brand appears in responses. Prompt testing reveals which queries trigger brand mentions, which competitors are cited instead, and how response quality varies across models.
RAG (Retrieval-Augmented Generation)
An AI architecture that combines a language model with a retrieval system that searches external knowledge sources. RAG is how most AI answer engines work: they retrieve relevant documents, then generate responses grounded in those sources. Understanding RAG is fundamental to AEO.
Schema Markup
Standardized code (typically JSON-LD) added to web pages to help search engines and AI systems understand the content. Common AEO-relevant schemas include Organization, Article, FAQ, HowTo, Product, and Person. Schema markup is increasingly considered table-stakes for AI visibility.
Sentiment Analysis
In AEO, tracking whether AI-generated mentions of your brand are positive, negative, or neutral. AI models can develop persistent biases about brands based on their training data, making sentiment monitoring an important part of AI visibility management.
SXO (Search Experience Optimization)
A user-experience-centered approach to search optimization that covers both traditional and AI search surfaces. SXO focuses on the end-to-end experience: from how a user discovers content (whether through AI or traditional search) through engagement and conversion.
Topical Authority
The perceived expertise of a website or brand on a specific subject. AI models are more likely to cite sources that demonstrate deep, comprehensive coverage of a topic rather than surface-level content across many topics. Building topical authority through content clusters is a core AEO strategy.
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