Authoritative health bodies
WHO, NIH, NHS, Mayo Clinic, MedlinePlus, Cochrane, NICE. Models default to these for any health-adjacent answer. Visibility here trumps every other source by an order of magnitude.
Use case · Healthcare
Models are conservative on health. Win the answer with authoritative sources.
For health prompts, AI assistants defer to WHO, NIH, NHS, peer-reviewed publications and regulator guidance. Intendity tracks where your brand, category and condition sit across those authoritative sources — and gives medical affairs an audit-ready trail.
Why healthcare AEO is different.
For most categories, models pull from a wide source pool. For health, the pool narrows sharply. Three traits define healthcare AEO:
- 01 Authority concentration. A handful of sources (WHO, NIH, Mayo, Cochrane) drive the majority of citations. Win those sources; everything else compounds from there.
- 02 Conservatism by design. Models hedge on novel claims and prefer established consensus. Visibility moves slower — but the wins last longer.
- 03 Compliance everywhere. Every move passes through medical, legal, comms and regulatory review. Tools that don’t support that workflow break on first use.
The sources models cite.
Authority dominates. Investment here pays back over years, not weeks.
Peer-reviewed publications
PubMed-indexed studies, BMJ, NEJM, The Lancet. Models prefer named studies and meta-analyses over editorial content for clinical claims.
Regulators (FDA, EMA, MHRA)
Approval status, safety communications, recalls. Models surface regulator notices with high fidelity — favorable framing requires accurate, current source pages.
Wikipedia condition & drug articles
Disproportionately influential. A sourced edit to a condition or treatment article shapes the model’s default summary for every adjacent prompt for years.
Patient-advocacy & professional society sites
Society endorsements (ASCO, AHA, AAN) carry weight. Patient-org content drives the "what should I expect" framing in answers.
Trade & medical press
STAT News, Endpoints, Fierce Biotech, BMJ News. Coverage drives the "trustworthy" framing in comparison answers, especially for newer drugs and devices.
Six plays Intendity will recommend.
Compliance-aware moves, each tied to specific evidence — the authority-source page, the peer-reviewed citation, the regulator framing that’s shaping each answer.
Authority-source mapping
Identify which authoritative sources cite for your category. Pursue presence (named or referenced) in the top three for every condition or product you care about.
Sensitive-topic monitoring
Track sentiment and safety framing weekly. Catch emerging negative narratives before they harden — a single misinterpreted study can cascade into hundreds of biased answers.
Regional regulatory framing
Approval status varies by jurisdiction. Models reflect this — track per region so you can correct outdated approval framing in markets where it lags.
Peer-reviewed content strategy
A single named study cited in the right Cochrane review or NICE guideline reshapes the model’s default answer for an entire condition. Coordinate medical affairs with content.
Schema for health products
MedicalEntity, Drug, MedicalCondition schema with proper relationships. Models pull verbatim — most pharma sites under-invest here despite already-strong content.
Society-endorsement pathway
Endorsements from professional societies carry more model weight than any paid placement. Plan multi-quarter society engagement with named clinical leadership.
Compliance by design.
Built around the workflows medical, legal, regulatory and comms already run. Three guarantees baked into every brand on Intendity:
No medical advice generation
Intendity monitors how AI describes your brand and category. We never generate medical claims for publication; recommendations stay at the source-and-content layer where you and your medical-affairs team retain final review.
Audit-friendly evidence trail
Every mention is captured with the model, prompt, region and timestamp. If a regulator or compliance review asks "where did this AI summary come from," you have the evidence.
Brand-safety guardrails
For sensitive prompts (off-label use, drug interactions), Intendity flags the model’s response so medical, legal and comms can review before any public-facing action.
See how AI describes your therapy area.
Custom DPA, BAA-readiness conversation, and dedicated onboarding for regulated healthcare workflows. Get in touch to scope an Enterprise pilot.