AuditRx asks the major AI systems what patients, HCPs and payers ask them, then scores what comes back: what your brand gets recommended for, what it gets cited on, what gets stated wrong, and how much of the answer your competitors own.
AuditRx measures how AI systems recommend, cite, omit or misstate your brand, and turns what it finds into briefs your team can act on.
So do HCPs and payers. Whatever the model says about your brand is shaping the decision, and no one on your team has read it.
You set the questions, the brands, the competitors and the journey moments. It captures what the major AI systems actually answer.
Sentiment, accuracy, citation quality, competitive presence, and what got left out entirely. Misinformation and harmful claims get flagged.
Findings come out as MLR-ready correction briefs and a prioritized list of where to intervene first.
AuditRx runs as a point-in-time audit, or repeats on a cadence as an always-on watch over how AI represents your brand.
A single sweep answers what AI says today. A repeating one tells you when it changes, which is usually the part that matters.
Brand, medical, comms and compliance all have a stake in what an AI answers about the product. Here they read the same scorecard.
The questions your market actually asks, run against the major AI systems in scope.
What your brand gets recommended for, what it gets cited on, and where it is missing entirely.
How the answer sounds, whether it is true, and how much of it your competitors own.
Three documents: what AI says, what it gets wrong, and what to do about it.
Know how AI represents the category before your brand enters it.
Track your share of the AI answer against competitors over time.
Catch harmful narratives and wrong answers before they spread.
Turn findings into MLR-ready briefs that correct what AI is reading.
A full sweep across the major AI systems: visibility, citations, sentiment, misinformation and competitive share of voice, scored by question and journey moment.
Live todayThe sweep repeats on a cadence, so a bad answer surfaces when it appears instead of at the next audit.
In buildAI visibility sits beside the brand's other performance signals instead of arriving as a report.
On the roadmapCorrection briefs feed straight into the evidence and content systems that answer them.
On the roadmapFull milestone dates confirming with the product team.
The answers your market is already reading become something you can see, score and correct, instead of something you find out about from a client.
Bring one brand and the questions your market asks. We will run the sweep and show you what came back.