AI answer quality checks, so every mention is real

AI answer quality checks are the steps between an AI engine's raw answer and the numbers in your dashboard. A name match is a good first step, and a count is only as useful as the checks behind it: brands named after common words can match by chance, a company in another country with the same name can be mistaken for you, and an answer about a different topic that mentions you in passing can lift your score. In the other direction, an answer can name you and still say something that differs from your facts about your product.

Good checks answer four questions for every answer. Is this mention really about this brand? Is the answer about the brand's category? What does it claim about the brand, and is that true? How does it position the brand against competitors? Getting these right is the difference between a visibility number you can act on and one that misleads you.

Proofsource matches brand and competitor names by name and keyword, guards brand names that are common words, checks the answer is on your category, and gives each answer an identity verdict. It builds a profile of your brand from your site and review profiles to judge against, checks claims against your facts, reads answer tables like a person, scores sentiment and positioning, and judges Reddit threads from the full thread. When reading rules improve, stored answers are re-read without asking the engines again.