The complete glossary of AI visibility terminology. Definitions, measurement methodologies, and practical frameworks for GEO and RAG optimization.
TL;DR: AI Authority Rank (0-100) predicts how likely AIs cite your brand. Formula: Crawlability (20%) + Chunk Quality (40%) +...
Deep dive →TL;DR: AI Referrer Attribution is the practice of measuring traffic and conversions influenced by AI assistants, including “dark” traffic where...
Deep dive →TL;DR: Authority Transfer Vector (ATV) is a high-authority third-party source that cites your domain, lending its trust to you in...
Deep dive →TL;DR: Chunk Extractability (0-100) measures how easily AI systems can pull self-contained content pieces from your pages. Pages with >70%...
Deep dive →TL;DR: Citation Decay Rate measures how quickly AI citations to your brand disappear over time. FAII benchmark: 8% weekly decay...
Deep dive →Citation Rate is the percentage of AI answers that include a source link or named reference. Learn how it differs...
Deep dive →TL;DR: Citation Safety measures how “safe” it feels for an AI to cite your page. Over-claiming lowers citation likelihood. Neutral...
Deep dive →TL;DR: 2–6 week period post-launch when new content can realistically dethrone incumbent in AI answers. Requires simultaneous content + authority...
Deep dive →TL;DR: Entity Strength (0-100) measures how well AI systems can identify and disambiguate your brand. It accounts for 40% of...
Deep dive →TL;DR: Evidence Density measures the concentration of verifiable claims per content section. AIs prefer citing “claims with receipts.” Raise Evidence...
Deep dive →TL;DR: Extraction Noise Ratio is how much of what a bot extracts is template noise instead of main content. High...
Deep dive →TL;DR: Mention Rate is the percentage of AI responses that name your brand or domain across a defined query set....
Deep dive →TL;DR: Multimodal RAG Signals are optimizations that allow image/video content to be “read” by AI models (GPT-4o, Gemini). Flat images...
Deep dive →TL;DR: Recommendation Rate is the percentage of AI responses that explicitly endorse your brand as a top pick. It’s the...
Deep dive →TL;DR: Response Volatility measures how much AI answers fluctuate over time for the same query. FAII benchmark: 25% average week-over-week...
Deep dive →TL;DR: Time lag between publishing content and AI-generated answer appearance. RAG systems: 24–48 hours. Training-based (ChatGPT): 6+ weeks. FAII benchmark:...
Deep dive →TL;DR: Semantic Neighborhood measures the mathematical distance between your brand and specific concepts in AI vector space. You dont just...
Deep dive →TL;DR: Session Isolation means running AI tests in fresh sessions to eliminate context bias. Without it, results skew 20-50%. Method:...
Deep dive →TL;DR: Share of AI Voice (SoAIV) measures what percentage of AI-generated answers mention your brand for a given set of...
Deep dive →TL;DR: Token Budget Efficiency measures information density per token processed. RAG systems have limited context windows. Bloated content gets truncated;...
Deep dive →TL;DR: Tool-Callable Content makes your brand usable by agents, not just readable by humans. Use structured specs (OpenAPI, Schema.org Action,...
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