How we use AI
FindDrugs is run by an editorial system, not anonymous freelancers. Rather than hide that, we document it. This page explains where AI is involved, what it is allowed to do, and the human oversight and guardrails that keep every ranking honest.
What AI does here
Research & signal gathering
AI systems collect and structure the verifiable signals behind every score — published pricing, clinician access, cancellation terms, and states served — from primary sources.
Drafting & summarization
AI drafts review copy and summarizes the cited evidence behind each factor. We only score a factor from a recorded observation, and we publish that observation’s source where we hold one.
Re-checking on re-score
When a score is recomputed, AI re-verifies the same signals against the same published factors, and the new score carries the methodology version it was computed under.
Human oversight
The methodology itself — which factors count and how much they matter — is set and reviewed by people, not by a model. AI operates strictly inside those rules. Health-safety language is written conservatively and always defers to a licensed clinician. When a provider disputes a signal, a human reviews the correction.
What AI does not decide
- AI cannot change a brand's rank in exchange for payment — the methodology is fixed and public.
- AI does not invent scores; every subscore maps to a verifiable, re-checkable signal.
- AI never forwards personal or health information to advertising or analytics tools.
- Affiliate commissions are invisible to the scoring system — they never influence placement.
Everything is traceable
Because our scores come from verifiable signals, anything AI produces can be independently re-checked. The factors are public, the importance tiers are public, and every methodology change is logged with a version number.
This is not medical advice
See exactly how the rankings are computed under methodology v1.
Read the methodology