Case Study
What happens when a regulated brand has never checked what AI says about it.
A full AI Visibility Audit on a dermal filler brand — and the pattern that shows up across every regulated vertical we work in.
The Numbers
Strong presence, weaker accuracy, no attribution.
AI visibility score. The brand showed up often across major platforms.
AI accuracy score. What showed up wasn't always right.
Named, credentialed experts cited when AI described the brand's products and outcomes.
What We Found
Strong visibility can mask weak accuracy — and that's exactly the compliance profile.
AI platforms had plenty to say about this brand — but the gap between how much AI said and how accurately it said it is where the risk lived. Claims about outcomes leaned more confident than the underlying approved language supported. And with zero named credentialed sources backing any of it, there was no attribution trail — just AI filling gaps with the most plausible-sounding version of the story.
This is the pattern we now check for in every audit, regardless of vertical: strong visibility can mask weak accuracy, and weak accuracy without attribution is exactly the profile that turns into a compliance problem — whether the underlying rule is FDA claims language, HIPAA disclosure, or SEC material misstatement.
What Changed
A remediation roadmap, prioritized by compliance severity.
Using the findings, we built a remediation roadmap prioritized by compliance severity — correcting the highest-risk claims first, then building the credential and entity signals AI needs to cite the brand accurately going forward.
Client kept anonymous. Results reflect one engagement and aren't a guarantee of specific outcomes.
Your Turn
See what an Audit would find for you.
The same methodology, applied to your brand and your category. Start with a free Snapshot, or book a call to scope a full Audit.