AI visibility
AI visibility is how often, and how prominently, AI assistants such as ChatGPT, Gemini or Claude name a brand when people ask about its category.
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Learn: definitions for AI search visibility
Short definitional pages for the terms used in AI search visibility work. Each page opens with one plain definition, says why the term matters, explains how LLM Audit measures it where that is true, and gives one number from our own measurements where we have one. They are written to be quoted, by people and by assistants.
AI visibility audit
An AI visibility audit is a one-time diagnosis of how AI assistants answer the questions a brand's buyers ask, with the raw answers kept as evidence.
Read the definitionGEO vs AEO
Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) both name the practice of making a brand more likely to be used and named when an engine writes an answer instead of listing links.
Read the definitionBuyer-intent prompts
Buyer-intent prompts are the questions a person asks an AI assistant while deciding what to buy: which options fit a category, how two of them compare, whether a known objection holds, and what works for a specific use case or context.
Read the definitionQuery fan-out
Query fan-out is the way an AI engine expands one question into several related sub-questions, answers each of them, and combines the results into a single response.
Read the definitionShare of voice in AI answers
Share of voice in AI answers is the number of times a brand is named across a set of AI answers, divided by the number of times any brand is named across the same answers.
Read the definitionMention vs citation
A mention is a brand named in the text of an AI answer; a citation is a source the answer links to, and it exists only when the assistant grounds its answer in web results.
Read the definitionHow many runs
One run of a prompt is a sample, not a measurement: the same question sent to the same model returns a different set of brands often enough that a single answer cannot be read as the model's opinion.
Read the definitionWhere the numbers come from
The measurement method behind every number is on the methodology page, and the studies the numbers come from are on the research page.