Measuring AI Visibility (Share of Model): The Complete Guide

Measuring AI visibility means tracking how often AI assistants mention and recommend your brand versus competitors — your “share of model.” You cannot improve what you do not measure. This is the complete guide to measuring it and moving it.

What is AI visibility?

AI visibility, or share of model, is the share of AI answers in your category that name your brand. It is the AI-era equivalent of share of voice — a concrete metric you can baseline, track over time, and improve, instead of guessing whether AI recommends you.

How measurement works

You define the buyer questions worth tracking and your competitors, ask AI assistants those questions on a schedule, and record who gets named. From that you get two numbers: your mention rate (how often you appear) and your share of voice (your mentions versus all competitors).

The measurement playbook

This pillar is organized into two sub-topics: set up tracking, then improve and report on it.

• Track Your AI Visibility — How to set up and run measurement of your AI visibility: share of model, the right buyer prompts, and competitor tracking.
  • How to Measure Your Share of Model (Step by Step)
• Improve & Report Your AI Visibility — How to act on your AI-visibility data: the levers that increase AI mentions, and how to build a recurring report.
  • How to Improve How Often AI Recommends You

Why measurement comes first

Most teams have never checked whether AI assistants recommend them. The first measurement is usually a wake-up call, and it gives you the baseline every improvement is measured against — exactly as rank tracking did for classic SEO.

Do it with DigiJaws

The AI Visibility Tracker runs this end to end: enter your brand, buyer questions, and competitors, and track your mention rate and share of voice over time. Background: what AI search readiness is.

FAQ

What is share of model?

The share of AI answers in your category that mention your brand versus competitors. It is the core metric of AI visibility.

How often should I measure?

Monthly is a good start; weekly if your category moves fast. AI answers shift as models and sites change, so the trend matters more than a single snapshot.