How to Track Brand Visibility Across AI
Use the pillar guide for the broad framework, then use the supporting articles below for narrower questions and implementation details.
Topic hub
AI Visibility guides
Practical measurement guides for understanding how brands appear across ChatGPT, Claude, Gemini and Perplexity, including visibility baselines, share of voice and change over time.
Start here
The core guide for this topic.
AI Visibility articles
All insights →What Is AI Share of Voice and How Is It Calculated?
AI share of voice compares a brand's observed presence with competitors across a defined AI prompt panel. The result only makes sense when prompts, providers and counting rules are explicit.
AI Visibility vs SEO Visibility: What Should You Track?
SEO visibility and AI visibility share foundations but measure different outputs. This guide shows which metrics belong to each system and how to use both without collapsing them into one score.
How to Improve Your Brand's AI Visibility
Improving AI visibility starts with eligibility, useful non-commodity content, clear entity evidence and measurement. There is no legitimate switch that forces an AI system to recommend a brand.
How to Measure AI Visibility Across ChatGPT, Gemini, Claude and Perplexity
A defensible AI visibility measurement framework starts with a fixed prompt panel, explicit provider coverage, prompt-level evidence and repeatable comparison rules.
What Is AI Visibility? A Practical Guide for Brands
AI visibility measures how a brand appears inside AI-generated answers for a defined set of buyer questions. Here is what to measure, what not to infer and how to establish a useful baseline.
How to Track Brand Visibility in ChatGPT, Claude, Gemini and Perplexity
A measurement framework for AI visibility across ChatGPT, Claude, Gemini and Perplexity: prompts, mentions, recommendations, citations, competitors and repeatability.