Pharma is top-tier YMYL: a wrong dose or interaction can cost someone's health, so AI engines vet the source to the point of paranoia. To get cited in answers about medicines you need a pharmacist's authorship, links to package inserts and drug registries, plus honest disclaimers — otherwise the engine picks a more authoritative source.
Name, education, license and specialization (knowsAbout) with profile links — a critical E-E-A-T signal in pharma YMYL.
Back every dosage/interaction claim with the official package insert and a drug registry; AI cites verifiable facts.
A short precise answer right under the heading plus a 'consult your doctor' note — the engine lifts the first and trusts the second.
Use schema.org Drug, MedicalWebPage and FAQPage with dosage, contraindication, interactingDrug and prescriptionStatus.
Show the update date, prescription status, price and availability via Offer/availability — pharma data goes stale fast.
Medicines are the strictest YMYL zone: the cost of an error is a person's health, so AI engines vet sources by the author's license, links to official inserts and data accuracy more harshly than anywhere else. In return, strong E-E-A-T gives a pharmacy or brand an outsized advantage in citation.
Add a licensed pharmacist-author with knowsAbout to your drug pages, link to the official package insert and a drug registry, give direct answers with a disclaimer, add Drug/MedicalWebPage markup and live price plus stock — then run the pages through the GEO checker.
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