Measure how often you appear, not whether you got lucky once
We do not give you one AI answer. Kelsey runs multiple independent probes per scan and surfaces mention rate, spread, and trends so you can tell signal from noise.
We measure how often you appear across independent probes for the same intent, so your strategy is not pinned to a single screenshot.
The problem
One answer is a single sample
A lone ChatGPT reply is one draw from a stochastic model. Your brand can be named or skipped by chance. Betting a narrative on that one reply is like judging an ad campaign from a single impression.
What Kelsey does
Multiple probes per scan
Each scan runs several probes against the same question and intent. You see mention rate, how broadly you show up, and how that moves over time, so the dashboard reflects a pattern, not a fluke.
Why it matters
The same language as ads and SEO
Think frequency in media or impressions in search: you care how often you surface for that intent, not whether you appeared once in a cherry-picked run. Multi-probe measurement makes that comparison honest.
Trust
Methodology you can read
The methodology panel explains the protocol: the same core question, probes spaced in time, and which model answered. Transparency beats tools that bury randomness behind one anonymous answer.
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