Last updated 2026-06-30
GlossaryAI visibility glossary
Plain-English definitions of the AI-visibility and generative-engine-optimization terms used throughout CiteMatrix.ai. Every metric here is computed from real model responses, never estimated.
AI Visibility
How often, how prominently and how positively AI assistants recommend a brand when buyers ask for a solution; CiteMatrix.ai expresses it as an AI Visibility Score from 0 to 100.
Generative Engine Optimisation (GEO)
The practice of improving how often and how favourably AI assistants recommend a brand in their generated answers — the AI-era counterpart to SEO.
AI Share of Voice
The percentage of a category's AI recommendations that point to a given brand — a zero-sum, competitive view of AI visibility.
Recommendation frequency
How often a brand is named across a set of buyer-intent prompts run against the AI models — one of the components of an AI Visibility Score.
Buyer-prompt coverage
The breadth of buyer-intent prompts in a category for which a brand is named by AI assistants — wide coverage means you appear across many real questions, not just one.
Entity signals
The consistent, structured information across the web that tells AI models who a brand is, what it does and which category it belongs to.
LLM citation
When a large language model or answer engine references a specific source to support its answer — distinct from merely naming a brand.
Answer Engine Optimization (AEO)
Optimising content to be the answer that AI and answer engines surface — closely related to, and often used interchangeably with, generative engine optimization.
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- What is this glossary?
- Concise definitions of the AI-visibility and GEO terms used across CiteMatrix.ai — from AI Visibility and AI Share of Voice to entity signals and LLM citation.
- How are these terms measured?
- Where a term is a metric, CiteMatrix.ai computes it from real model responses across the major assistants — never estimated. See the methodology.