Table of Contents
Layer 1 — Visibility
00
The Measurement Framework
The four-layer structure that ties every metric in this guide together. Start here to understand what you are measuring and why the order matters.
01
AI Competitive Map
The AI’s picture of your competitive market is often not your picture. How to find out who it places you alongside, who it is missing, and what that means.
02
AI Share of Voice
The most widely reported metric in AI visibility and the most widely misunderstood. How to calculate it correctly and what the number actually tells you.
Layer 2 — Perception
03
AI Topical Presence
Share of Voice tells you how often you appear. Topical Presence tells you what for. How to map the topics AI associates with your brand and find the gaps.
04
Factual Accuracy Rate
How accurately does AI describe your brand? Not how positively. Accurately. How to audit what it gets wrong, why it gets it wrong, and what to do about it.
Layer 3 — Influence
05
Entity Map
The first chapter in this guide that changes the situation rather than measuring it. How to publish a structured knowledge layer that reduces hallucinations, fixes ghost citations, and gives retrieval systems a declared map of your brand.
06
Citation Data
Which sources is AI drawing on when it talks about your brand? How to find the URLs and domains shaping your visibility, and where competitors are being cited that you are not.
Layer 4 — Methodology
07
AI Visibility Channels
Training data and live retrieval are two completely different systems with different mechanics and different levers. Understanding which one you are measuring changes everything about what to do next.
08
Prompt Tracking
How to design and run prompt sets that give you reliable, repeatable data. Your measurements are only as good as the prompts behind them, and most prompt tracking introduces bias without realising it.
09
NLP and Entity Analysis
The linguistic layer beneath every other metric in this guide. How AI systems build and shift conceptual associations, and how to track whether your brand’s position is changing over time.
10
Data Gathering Methods
API, scraping, and manual testing all have different tradeoffs. How to collect AI responses at scale without introducing the biases that make your data useless.
