AI Visibility
See whether Claude names your brand, and what its more cautious answering style says about how well documented you are.
Check My VisibilityClaude is the assistant most likely to hedge, qualify, or decline to rank. That makes it frustrating to audit and unusually informative: a brand Claude is willing to name outright is generally one that is well documented enough for a cautious model to feel safe asserting it.
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Ask several assistants for the best tool in a category and you will get confident ordered lists from most of them. Claude is more likely to lay out considerations, note that the right answer depends on your constraints, and name a smaller set of options. Read as a scoreboard that looks like underperformance. Read as a signal it is the opposite: when a model that hedges by default names you plainly, it is because what it has read about you is consistent enough to assert without qualification. Ambiguity in the sources produces hedging in the answer.
Because Claude tends to name three brands where another assistant names eight, the practical bar is higher. Being the fifth most documented option in your category might get you into a ChatGPT list and leave you out of Claude entirely. This shows up clearly in checks: brands with middling overall visibility frequently score much lower on Claude than their average, and it is not a quirk of measurement, it is a real narrowing.
Claude usage skews technical: developers choosing libraries and services, engineers evaluating infrastructure, technical buyers doing early research. If you sell to that audience, weighting Claude by general consumer reach understates it badly for your specific case. Our platform multiplier reflects overall reach, and a developer-tools company should read a weak Claude score as more serious than the aggregate suggests.
The levers here are about documentation quality more than volume, which suits smaller brands.
It is tempting to treat "Claude discussed the category without ranking anyone" as a neutral result. It is not neutral for you. A buyer who asked for a recommendation and received a set of considerations goes back to searching, and the brands named in that considerations list are the ones they carry forward. Being one of the options a cautious model is prepared to describe is a real position worth competing for, even though it never looks like a ranking. This is where mid-market brands tend to lose most quietly: they are present in the confident lists elsewhere and simply do not come up here, and nothing in a mention count makes that visible.
If you are visible elsewhere and absent here, the usual cause is that what exists about you is promotional rather than descriptive. There is plenty of text, but little a careful reader could state as fact. The fix is not more content, it is more specific content: what it does, what it costs, what it does not do, who it is not for. That is also, conveniently, the content that performs on every other platform.
It is built to be cautious about confident claims, especially comparative ones where the right answer genuinely depends on the reader. It will usually lay out trade-offs rather than declare a winner.
For developer-facing and technical products, disproportionately yes. The audience is small relative to ChatGPT but heavily weighted towards people who choose tools for a living.
Make your product easy to describe accurately. Complete public documentation, plain claims, stated limitations, and honest third-party technical discussion all give a cautious model something it can assert without hedging.
Correlated but not the same. Both read broadly from the web, so authority carries across, but Claude names fewer brands per answer and hedges more, so the bar is higher and mid-tier brands fall out of its lists first.