Traditional rank tracking answers "where do I show up." AI share of voice answers a related but distinct question: across the queries that matter to your business, how often does an AI assistant name you at all, and how does that compare to the competitors it names instead? A brand can be invisible in AI-generated answers while still ranking fine organically; this is the metric that catches that gap.
How it is tracked
A defined set of target queries (the ones your buyers actually ask) gets run against ChatGPT, Perplexity, Gemini, and Google's AI Overviews on a recurring basis. Each result is logged: were you mentioned, were you cited with a link, was a competitor cited instead. This is step 07 of the standard nine-step process, and it runs alongside step 08's direct, per-query AI Overview citation checks (see Google AI Overviews Optimization).
Why this matters more than a single citation check
One-off citation checks tell you where you stand today. Share of voice, tracked over time, tells you whether the work is actually moving the number: whether last month's page rewrites and schema fixes changed how often you get named this month, and against which specific competitors. It turns "AI visibility" from a vague goal into something with a trend line.
Where this fits
Share-of-voice tracking is the baseline measurement built into an AI Visibility Audit, and it is what a Monthly Retainer continues tracking afterward. It is not sold as a standalone subscription; measuring visibility without also fixing the pages driving it does not move the number on its own.
Common questions
What is AI share of voice?
How often you are mentioned, and cited, across AI assistants relative to your competitors, for the queries that matter to your business. It's the AI-search equivalent of tracking organic ranking share, but for citations inside generated answers instead of positions on a results page.
How is it measured?
By running a defined set of target queries against ChatGPT, Perplexity, Gemini, and Google's AI Overviews on a recurring basis, and recording who gets mentioned or cited each time. It is a direct check, not a modeled estimate: the same approach used for the AI Overview citation checks under rank and traffic monitoring.
Is this a standalone service?
It is included as part of the Monthly Retainer, and as the baseline measurement inside an AI Visibility Audit. It is not sold on its own, because tracking share of voice without also fixing what is driving it does not move the number.
Get a baseline before you track a trend.
An AI Visibility Audit establishes where you stand today across every major assistant, so future tracking has something to measure against.
Start an audit