How does Claude talk about your brand?
Claude brand tracking is the way to know how often Claude names your brand, and whether it recommends you or merely lists you. Claude increasingly sits inside the tools people already work in, which makes what it says about your category worth measuring rather than guessing at.
Every rate arrives with its interval and the number of answers behind it.
What this measures, exactly
Before you trust a number, you should know exactly what was measured. Here is the precise scope. For Claude, we measure Anthropic's model with its web-search tool enabled.
| What it means here | |
|---|---|
| Direct evidence | The answers come from Anthropic's own model using its own web-search tool. That is direct evidence for this model's grounded behaviour. |
| Not claimed | As with any API-measured AI tool, this is the model surface, not the consumer chat product. It is the closest measurable proxy, and it is labelled that way rather than implied to be the app. |
| How an answer is read | We call Anthropic's API with web search on, using your category questions, repeatedly. Raw answers are stored, and every rate is traceable to the text behind it. |
The same direct-versus-proxy distinction is applied to every engine we support, and it is written into the published methodology rather than left to a sales conversation.
What you get back
Rates, not screenshots — each with a 95% confidence interval and the number of answers behind it. You can tell a real change from a noisy week.
| Metric | The question it answers |
|---|---|
| Mention rate | Of the answers to your category's questions, how many name you at all |
| Share of voice | Of every brand named across those answers, what fraction is you |
| Recommendation rate | How often you are actively endorsed rather than listed in passing |
| Cited sources | Which domains Claude leaned on — yours, and everyone else's |
| Accuracy flags | Anything Claude said about you that is factually wrong |
One reading is not a trend. Measurements repeat on a schedule, and the comparison is against your own history, not against a screenshot someone took once.
Questions about Claude
Why track Claude separately from ChatGPT?
Because they disagree. Different models retrieve differently and weigh sources differently. The brand line-up for the same question is often not the same. Averaging them into one score hides exactly the difference you would want to act on.
Does Claude answer from memory or from the web?
Both, depending on the question. That is why grounded and parametric answers are classified and reported separately — only the grounded half can respond to something you published this quarter.
What counts as a recommendation?
An endorsement or a top-of-list placement, as opposed to being mentioned in passing. The distinction is applied by a calibrated judge against a written rubric, and scored consistently across engines, which is what makes the comparison hold.
Keep going
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Blog
How Claude talks about brands — and how to earn a mention
The editorial companion to this page — how Claude chooses what to say, and what earns a mention.
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Product
Visibility tracking across every engine
Claude is one surface. Visibility tracking asks your questions on all of them and compares.
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Method
How accurate is AI visibility data?
The sampling, the calibrated judge, the statistics — and the six-point bar to hold any tool to.
Know where you stand in Claude.
Track your category's real buyer questions and get a rate with an interval — not a screenshot.