Monitor how ChatGPT, Claude, Gemini, Meta, Grok, and Perplexity describe your drug in real time. Detect off-label claims, missing safety warnings, and competitive displacement — before regulators do.
Patients and clinicians are asking AI tools questions every day — about indications, dosing, alternatives, and side effects. The answers they get are often incomplete, outdated, or non-compliant.
You don't control it. You can't see it. You're still responsible for it.
"If AI consistently recommends your drug off-label and you have no documentation of monitoring or addressing the narrative, regulators may ask why you didn't act."
When AI generates unapproved indications, incorrect dosing, or missing safety warnings, it creates exposure under FDA and global regulatory frameworks.
Large language models don't rely on a single source of truth. They synthesize answers from a wide range of inputs — often blending regulated and unregulated data without signaling uncertainty.
If you're not monitoring this, you're not controlling your drug's narrative.
Emerging and exploratory uses not yet approved
Real-world off-label practices shared informally
Anecdotal outcomes and side-effect reports
Early-stage evidence and pre-print abstracts
Variable quality, often unverified health pages
We simulate patient and physician queries across ChatGPT, Claude, Gemini, Meta, Grok, and Perplexity to build a living dataset of AI drug narratives. Includes access to our bank of 1M+ actual user queries.
Automatically classify on-label vs. hallucinated claims using structured drug label intelligence and SPL data.
See how AI responses change over time as new clinical trial data or forum discussions enter the model ecosystem.
Understand how often your drug is recommended vs. competitors in AI-generated efficacy benchmarks.
Immediate notification when safety info is omitted or a competitor's profile suddenly improves in LLM outputs.
Export-ready insights for Legal, Regulatory, and Pharmacovigilance teams to document monitoring efforts.
Thousands of prompts generated across clinical scenarios and real patient queries.
AI responses are captured and structured in real time across all major models.
Outputs classified against official drug label data and SPL records.
Instant alerts, dashboards, and export-ready PDF reports for your team.
Stop sales reps from using AI to create unapproved, non-compliant promotional copy. We audit internal usage to ensure collateral stays within the approved scientific dossier.
Identify when LLMs are hallucinating your drug's efficacy or safety data. Protect your brand from AI-driven misinformation across the web.
Analyze the questions patients ask AI. Identify patterns that reveal previously unreported side effects or unmet patient needs in real time.
Leverage our bank of 1,000,000+ organic queries to audit your risk. Get a comprehensive report of how LLMs are presenting your brand today.
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