AEO/GEO foundations
Core terms for the category, answer engines, generative engines, and AI search surfaces.
Definitions for AI visibility, AEO, GEO, source influence, answer framing, prompt monitoring, and related concepts.
Collection definition
The glossary defines AEO/GEO terms through an interpretation-led lens. Visibility and citations are important terms, but they become useful only when teams connect them to buyer framing, source influence, and content prioritization.
Use these definitions to understand the site’s operating model before digging into metrics, tools, and templates.
Glossary
AEO, or answer engine optimization, is the work of improving how answer systems understand and represent a brand.
Glossary
GEO, or generative engine optimization, focuses on how generative systems synthesize and present information about a brand or category.
Glossary
AI visibility is whether, where, and how often a brand appears in AI-generated answers.
Glossary
AI discovery is the process by which buyers encounter brands, sources, and recommendations through AI answer systems.
Glossary
Source influence is the set of owned and third-party sources that may shape how AI systems understand a brand.
Glossary
Content prioritization is deciding which content updates are most worth doing based on AI answer evidence and buyer impact.
Use these groupings to move from visibility signals into interpretation, source influence, buyer framing, and content decisions.
Core terms for the category, answer engines, generative engines, and AI search surfaces.
Terms for measuring whether a brand appears, how prompts are tracked, and where basic reporting stops.
Terms for understanding how AI systems describe, compare, recommend, and contextualize a brand.
Terms for visible citations, likely source influence, third-party narratives, reviews, Reddit, and support-doc risk.
Terms for turning signals into prioritized content work rather than generic activity.
Core terms for the category, answer engines, generative engines, and AI search surfaces.
Glossary
AEO, or answer engine optimization, is the work of improving how answer systems understand and represent a brand.
Glossary
GEO, or generative engine optimization, focuses on how generative systems synthesize and present information about a brand or category.
Glossary
An answer engine is a system that responds to questions with synthesized answers rather than only a list of links.
Glossary
A generative engine is a system that creates synthesized responses from model knowledge, retrieved sources, or provided context.
Glossary
An AI search surface is any interface where users receive AI-generated answers for search or research questions.
Glossary
Zero-click search is a search experience where the user gets enough information without clicking through to a website.
Glossary
Retrieval-augmented generation is a method where a generative system retrieves external information before producing an answer.
Glossary
RAG stands for retrieval-augmented generation, a pattern where retrieved sources inform a generated answer.
Terms for measuring whether a brand appears, how prompts are tracked, and where basic reporting stops.
Glossary
AI visibility is whether, where, and how often a brand appears in AI-generated answers.
Glossary
LLM visibility is a brand presence signal inside answers generated by large language model systems.
Glossary
Prompt monitoring is the repeated tracking of AI answers for a defined set of questions or prompts.
Glossary
Share of answer measures how much of an AI response is devoted to a brand, source, or concept.
Glossary
Share of voice compares how often or prominently a brand appears relative to competitors in AI answers.
Glossary
A visibility score summarizes how often or prominently a brand appears across a monitored AI prompt set.
Glossary
A prompt set is a defined group of AI prompts used to monitor answer patterns and buyer questions.
Glossary
Answer volatility is how much AI answers change across time, prompts, surfaces, or repeated runs.
Terms for understanding how AI systems describe, compare, recommend, and contextualize a brand.
Glossary
Brand interpretation is how AI systems appear to understand what a brand is, who it serves, and why it matters.
Glossary
Answer framing is how an AI response positions a brand, product, category, or recommendation.
Glossary
Buyer framing is how an AI answer presents a brand in relation to the buyer question, use case, or decision stage.
Glossary
Competitive framing is how AI answers position a brand against competitors or alternatives.
Glossary
Recommendation quality measures whether an AI recommendation is accurate, specific, contextual, and useful to a buyer.
Glossary
Mention quality is the usefulness and accuracy of a brand mention inside an AI answer.
Glossary
Entity consistency is the alignment of a brand name, product names, categories, and descriptions across sources.
Glossary
AI brand sentiment is how positively, negatively, or neutrally an AI answer frames a brand in context.
Terms for visible citations, likely source influence, third-party narratives, reviews, Reddit, and support-doc risk.
Glossary
Citation tracking records which sources appear as references or links in AI answers.
Glossary
A citation score summarizes how often a brand, domain, or source appears as a citation in AI answers.
Glossary
Source influence is the set of owned and third-party sources that may shape how AI systems understand a brand.
Glossary
A source gap is missing or weak evidence in the source ecosystem that may affect AI answer quality.
Glossary
Third-party mentions are references to a brand on external sites such as reviews, media, lists, forums, and partner pages.
Glossary
Review site signals are patterns from review platforms that may shape AI answers about strengths, weaknesses, fit, and sentiment.
Glossary
Reddit signals are recurring claims, complaints, recommendations, or comparisons from Reddit discussions that may shape brand perception.
Glossary
Support doc risk is the chance that help content overemphasizes issues, limitations, or outdated behavior in AI answers.
Glossary
Help center risk is the possibility that help center content shapes AI answers in ways that are accurate but incomplete or outdated.
Glossary
Old content risk is the chance that stale pages shape AI answers with outdated claims or positioning.
Terms for turning signals into prioritized content work rather than generic activity.
Glossary
Content prioritization is deciding which content updates are most worth doing based on AI answer evidence and buyer impact.
Glossary
A content gap is missing, thin, outdated, or unclear content that prevents a useful AI or buyer answer.
Glossary
A content decision system helps teams turn AI discovery, interpretation, source, and content-gap signals into prioritized content decisions.
Glossary
AI readiness is how prepared a site, source ecosystem, and content model are for AI systems to understand and use them.
Glossary
A buyer question is a question a real buyer asks while discovering, comparing, validating, or objecting to a product.
Glossary
An AI answer audit reviews how AI systems answer important prompts about a brand, category, or competitor set.
Glossary
A brand narrative audit reviews whether AI answers and sources tell a coherent, accurate story about the brand.
Glossary
Content freshness is how current and accurately maintained a source is for the question it answers.
Supporting definitions for technical concepts, prompt types, source signals, audits, and measurement language across AEO/GEO.
Glossary
An AI citation audit reviews which sources are cited in AI answers and whether those sources are useful, current, and representative.
Glossary
AI discovery is the process by which buyers encounter brands, sources, and recommendations through AI answer systems.
Glossary
AI Mode refers to an AI-first search experience where users can ask follow-up questions and receive synthesized answers.
Glossary
AI Overviews are AI-generated summaries that can appear in Google Search results for some queries.
Glossary
AI search performance is how well a brand appears, is understood, and is supported across AI search surfaces.
Glossary
ChatGPT Search is a search-enabled ChatGPT experience that can use web information to answer current questions.
Glossary
A comparison prompt asks an AI system to compare brands, products, categories, or alternatives.
Glossary
Copilot refers to Microsoft AI assistant and search experiences that can generate answers from web or work context.
Glossary
Earned media for AEO is third-party coverage that helps answer systems and buyers understand a brand credibly.
Glossary
LLMs.txt is a proposed file format for pointing AI systems toward useful site content and context.
Glossary
Model grounding is the use of source context or evidence to make an AI answer more connected to available information.
Glossary
An objection prompt asks an AI system about risks, limitations, complaints, pricing, difficulty, or reasons not to choose a brand.
Glossary
Perplexity is an AI answer and search experience known for source-linked responses.
Glossary
Query fan-out is when an AI or search system expands one user question into several related searches or subquestions before forming an answer.
Glossary
Robots.txt is a site file that gives crawler access instructions for parts of a website.
Glossary
Schema markup is a structured data vocabulary used to describe entities, pages, products, FAQs, and relationships.
Glossary
Structured data is machine-readable information added to pages to clarify entities, relationships, and page meaning.
Glossary
A validation prompt asks an AI system to confirm whether a brand is credible, suitable, safe, or a good fit.