The New Drug Rep Is an LLM: How Pharma Can Monitor AI Mentions, Brand Share, and Safety Risks Before Regulators Do
A physician in Phoenix opens ChatGPT and types: “What’s the best GLP-1 for weight loss in a patient with type […]
A physician in Phoenix opens ChatGPT and types: “What’s the best GLP-1 for weight loss in a patient with type […]
A patient asks ChatGPT whether their antidepressant can help with chronic pain. Another asks Gemini if a GLP-1 drug will
A patient asks ChatGPT whether they can take Eliquis with ibuprofen. The model answers confidently. The answer is wrong. No
A patient with newly diagnosed Type 2 diabetes asks ChatGPT which medication her doctor is most likely to prescribe. The
When a patient asks ChatGPT whether they can take Ozempic with metformin, the answer they get is not pulled from
When a patient asks ChatGPT whether they can take semaglutide with metformin and gets a confident, partially wrong answer, four
Every day, millions of patients type questions about their prescriptions into ChatGPT, Gemini, Claude, and Perplexity. They ask whether Ozempic
There’s a question a patient on Ozempic typed into ChatGPT last year that she hadn’t mentioned to her endocrinologist in
At some point in the last eighteen months, the drug information environment crossed a threshold. Patients stopped asking Google first.
When a patient asks ChatGPT whether they can take Ozempic while on metformin, that answer — accurate or not —
For two decades, pharmaceutical commercial teams built their patient journey models around a predictable sequence: symptom onset, physician visit, diagnosis,
ChatGPT, Gemini, and Claude are answering drug questions millions of times a day. Some of those answers are wrong. Here
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