AIMentionTracker
When someone asks ChatGPT, Claude, Gemini or Perplexity about your category, do you come up? AIMentionTracker runs those questions every day, records what each assistant answered, and shows which sources it cited.
Nine surfaces, and we tell you how each one was collected — because a scraped product surface and a model API answer are not the same measurement and should never be averaged together.
Your category questions run on a schedule against every assistant — the same prompt, every day, so a change in the answer means something changed in the world.
Every response is stored verbatim with its citations. Which brands were named, in what order, and which sources the assistant actually read.
Not mentioned is three different problems with three different fixes. We tell you which one you have.
Most AI visibility tools report one number. But being cited and being recommended are different outcomes with opposite fixes. A brand whose content the model reads but never names needs third-party corroboration. A brand the model has never read needs to publish. One score cannot tell those apart.
So we report mentions and citations separately, per assistant, never blended. Every figure carries its sample size, and every figure opens onto the stored answers it was computed from.
We publish the formula, the denominator and the run count. If a number moved because we changed a setting rather than because the world changed, you will be able to see that.