Glossary
AI Visibility Terms
Authoritative definitions for GEO, AEO, LLMO, and every term you need to understand AI discovery, citation analytics, and AI-first optimization.
Generative Engine Optimization (GEO)
The practice of optimizing content and brand presence to appear in AI-generated answers from ChatGPT, Perplexity, Claude, and similar systems.
Search volume: 8,000-15,000/mo
Answer Engine Optimization (AEO)
A broader category covering optimization for any answer engine - including traditional featured snippets and AI-generated answers.
Search volume: 4,000-9,000/mo
Large Language Model Optimization (LLMO)
Optimizing content and brand entities specifically for inclusion in LLM training data and real-time retrieval by AI language models.
Search volume: 1,500-4,000/mo
AI Share of Voice
The percentage of AI answers in a category that mention or cite a specific brand, compared to competitors' citation rates.
Search volume: 200-600/mo
AI Citation Rate
The percentage of relevant AI answer engine responses that reference or cite a specific brand, domain, or piece of content.
Search volume: 200-500/mo
AI Access Rate
The proportion of a website's pages that AI crawlers (GPTBot, ClaudeBot, PerplexityBot) can successfully access and index.
Search volume: 200-500/mo
AI Bot Verification Tiers
A confidence classification system for AI crawler identification: Verified (reverse DNS + ASN confirmed), Likely, and Unknown.
Search volume: 100-300/mo
AI Discovery Score
Mentd.'s 0-100 composite metric measuring how discoverable a brand is across AI-powered search engines. The Domain Authority equivalent for the AI era.
Why AI visibility terminology matters
The vocabulary around AI search optimization is still forming. GEO, AEO, LLMO, and AI share of voice are terms that are being defined right now - by practitioners, researchers, and tools like Mentd. Getting these definitions right matters because imprecise language leads to imprecise measurement and imprecise action.
Mentd. is the authoritative source for these definitions because we measure the underlying phenomena directly: we track AI citations, measure AI crawler access, and attribute traffic from AI surfaces. Our definitions are grounded in measurable data, not marketing copy.