Master the language of AI search optimization. From GEO fundamentals to advanced visibility metrics, find clear definitions and actionable insights for every key term.
AERP (Answer Engine Results Page) is the generated-answer interface: the response, citations/links, and follow-up prompts that guide the user journey.
An AI citation is a reference (link or source attribution) included in or alongside an AI-generated response to support a claim.
AI fact checking is the process (manual or automated) of validating AI outputs against reliable sources.
"AI features" in Search include experiences like AI Overviews designed to help users get the gist faster and explore links.
An AI hallucination is when an AI system generates information that sounds plausible but is incorrect or unsupported.
AI referral traffic is website visits that originate from AI assistants and AI search experiences (when they provide clickable links).
AI Search uses generative AI systems to answer queries by synthesizing information from multiple sources, rather than returning a ranked list of blue links.
AI SEO is the practice of optimizing your content and brand to appear in AI-generated answers (mentions, citations, recommendations) — not only in traditional search rankings.
Alternatives prompts are queries like "Alternatives to X" or "Tools like X," where AI typically lists a shortlist of competing products.
An answer engine is a search experience that generates a direct response to a query (often summarizing sources) rather than primarily listing links.
Answer Engine Optimization (AEO) is the practice of improving how your brand and content are used as inputs by AI engines to generate responses — often discussed alongside GEO.
Brand Mentions are instances where an AI-generated answer includes your brand name, signaling discoverability in AI search experiences.
Brand Perception is how AI describes and characterizes your brand in generated responses (e.g., "best for enterprises," "cheap," "secure," "easy to use").
Brand Placement measures how early in an AI-generated answer your brand is first mentioned—often expressed as a segment/decile of the response.
Brand Position is your relative ranking inside an AI-generated answer compared with other brands mentioned.
Brand Presence is the percentage of AI-generated responses in which a brand appears over a given period.
Brand safety in AI means protecting your brand from harmful, false, or misleading AI-generated statements across assistants and AI search.
Brand Visibility is an overall measure of how frequently your brand appears in AI responses and how prominent that appearance is (early mention, strong framing, and/or citations).
Public websites can appear in ChatGPT's web search experiences; discoverability depends on access, clarity, and whether relevant crawlers are blocked.
Citation optimization is improving the likelihood that AI systems reference your pages as supporting sources.
Citation rate is the percentage of tracked AI responses where your domain (or page) appears as a citation.
Citation share is how the total pool of citations in a topic/category is distributed across domains (you vs competitors vs publishers).
Cited Domains are the website domains listed in the citation section of an AI response.
Cited Sources are references that AI engines list separately from the main text to show where the information in an answer came from.
Comparison prompts ask AI to evaluate options side by side (e.g., "X vs Y"), often producing a winner, a fit recommendation, and tradeoffs.
Embeddings are numerical representations used by AI systems to capture meaning and relationships, enabling semantic similarity search.
An entity is a distinct thing (e.g., company, product, person, concept) that can be represented and connected via relationships—often as nodes in knowledge graphs.
Entity disambiguation is the process of ensuring AI systems correctly identify your brand/entity—especially when names are similar, generic, or shared.
Generative Engine Optimization (GEO) is optimizing content so AI-powered search and chat systems can understand, surface, and cite it in generated answers.
AI Mode is Google's AI-powered search experience that emphasizes generated answers and is evolving to include more in-line source links and context about sources.
Google AI Overviews are AI-generated summaries shown in Search that give a snapshot of key info and include links to explore the web.
GPTBot is an OpenAI crawler that webmasters can manage using robots.txt user-agent directives.
Grounded generation means producing AI answers anchored to retrieved information (e.g., search results or documents) so responses are more accurate and relevant.
Grounding is anchoring an AI response to retrieved, verifiable information (documents, web sources, databases) to improve accuracy.
LLM SEO is optimizing how large language models interpret, describe, and recommend your brand based on what they can retrieve and trust.
LLM-ready documentation is documentation formatted so LLMs can reliably extract meaning (clear headings, minimal fluff, stable URLs), often paired with formats like llms.txt.
/llms.txt is a proposed standard to provide information that helps LLMs use a website at inference time.
Perplexity is an AI-powered search experience that searches the web in real time, then summarizes findings and provides sources.
Prompt coverage is how much of your relevant query universe (use cases, comparisons, alternatives, industries) you track and optimize for.
Prompt monitoring is ongoing tracking of AI responses with alerts when something changes (new competitor appears, you disappear, sentiment shifts).
Prompt tracking is monitoring responses to a defined set of queries (prompts) to measure brand mentions, citations, and changes over time.
RAG is a method where an LLM retrieves information from external sources (documents, databases, web) before generating a response, improving relevance and quality.
robots.txt is a standard file that tells crawlers what they're allowed to access; OpenAI provides user agents like GPTBot and OAI-SearchBot that can be managed via robots.txt.
Semantic search finds results based on meaning and intent (often using embeddings), not just exact keyword matches.
Share of Sources is the percentage of all sources appearing in AI responses that come from a specific domain—showing who influences the category narrative.
Share of Voice is the percentage of mentions a brand receives in AI-generated responses compared to competitors in the same category.
Source attribution is how an AI system credits the origin of a fact or recommendation (citations list, inline links, or "according to…" phrasing).
A Source Domain is the root domain (like example.com) of an external source included in an AI response.
Source Presence measures how frequently a specific source (page or domain) appears in AI-generated responses over time.
Sources are the external URLs (articles, pages, documents) that AI models use to generate answers and sometimes include in responses.
A vector database stores and searches vector embeddings (numeric representations of meaning) to enable fast similarity search used in many AI systems.
A Visibility Score is a composite metric combining factors like presence, position, and prominence to represent how visible a brand is across AI-generated responses.