What AI models say about your product, measured against the label.
Patients and clinicians now ask ChatGPT, Claude, Gemini, and Perplexity about prescription products before they ask anyone else. PharmAiVA tells a brand team what those models are saying and what to do about it.
The problem
Most brand teams have no idea what the major AI models are saying about their product: whether the answers match the approved labeling, how competitors are positioned, where off-label or outdated information creeps in, and which sources the models are drawing from. The answers reach patients and prescribers anyway.
What PharmAiVA does
The platform queries the major AI models the way a patient or prescriber would, scores the responses against the approved prescribing information and your own source material, and produces an AI visibility analysis with a prioritized action plan. The output is written for people who will have to take it through medical, legal, and regulatory review, not for a marketing agency.
- 240label-grounded queries
- 6audiences
- 9AI targets
- 18pages per brand, per market
What you get
- Every answer graded against the approved prescribing information
- Competitive share of voice, a label coverage map, and a risk register
- A prioritized action plan tagged by MLR burden and effort
- A GEO action plan the brand team can circulate internally
Built by a practicing pharmacist with a market access and reimbursement background, which is the difference between an AI vendor and someone who understands what a brand team can and cannot say.
Who builds it
PharmAiVA is built by PharmAlliance AI Solutions, a DBA of PharmAlliance Group, LLC, founded and led by Brian Bastean, PharmD, RPh, MBA. The same practice publishes the AI territory-management framework for pharmaceutical field teams and delivers AI visibility and GEO consulting for prescription brands.