Tools that tell you whether AI assistants are citing your brand
Brand-mention tracking inside LLM answers is a young product category. Here is what exists and how to evaluate it.
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There is no Search Console for AI answers. That absence created a product category in about eighteen months, and this is how to evaluate what currently exists in it.
What these tools actually do
All of them work the same way underneath: they run a set of prompts against the answer engines on a schedule, parse the responses, and record whether your brand appeared, in what context, and alongside which competitors. Nobody has privileged access. Everyone is sampling.
That matters more than the marketing suggests, because it means coverage is a function of how many prompts you run and how often — and that is what you are really paying for.
The methodology question every buyer should ask
Answer engines are non-deterministic. Run the same prompt twice and you may get different sources. So a single check is nearly meaningless, and any vendor reporting a clean binary “you are cited: yes/no” is hiding variance from you.
Three of the seven tools sample repeatedly and report a frequency with a confidence range. Those are the ones worth your money. The other four report a snapshot, and a snapshot of a stochastic system is a coin flip presented as a metric.
How many times per week is each prompt sampled, and is the result reported as a frequency or a single observation? If the answer is a single observation, the dashboard will move constantly and none of that movement will mean anything.
Sentiment is where the value is
Being cited is table stakes. Being cited as the cautionary example is a different outcome, and only a few of these tools distinguish the two. One flagged a client’s brand as a positive mention when the actual sentence was “unlike [brand], which has struggled with…”. Sentiment scoring on a partial clause is genuinely hard, and it is not solved.
Pricing is not yet rational
The spread runs from $89 to $499 a month for broadly comparable prompt volumes. There is no discernible relationship between price and sampling rigour. This is a young category and pricing is being set by positioning rather than cost, which means the expensive option is not reliably the better one.
The short version
Buy one, because flying blind here is worse. Buy on sampling methodology, not on dashboard design. And expect the category to consolidate hard within two years — do not sign a long contract.
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