Patients ask AI which hospital, department by department.
Cardiac surgery, oncology, orthopaedics, emergency care — each department is its own answer market with its own leaders. CiteRank AI shows how the 8 major engines answer for your specialties and locations, and what it takes to be named.
Vertical benches currently run 4 engines; full tracking covers all 8.
One hospital brand, twenty answer markets.
A hospital is not a single entity to an answer engine — it is a set of departments, consultants and locations, each competing separately. Most sites present one brand and lose every department prompt.
'Best hospital for knee replacement' and 'best cardiac hospital' return completely different shortlists.
Departed consultants and outdated OPD schedules persist in AI answers long after the website changed.
NABH, JCI and specialty accreditations sit in images or PDFs where engines cannot read or attribute them.
Urgent prompts resolve to whichever facility has the clearest machine-readable services, hours and address.
Groups with several units get one blended answer that hides which unit is actually invisible.
Health portals and appointment aggregators take the citation your own department pages should earn.
Which hospitals the engines name for each specialty.
A sample of the hospital prompt graph replayed across engines, by department and city.
| Category prompt | ChatGPT | Gemini | Perplexity | Claude | Answer concentration | You cited? |
|---|---|---|---|---|---|---|
| Best hospital for cardiac bypass in the city | Hospital A, Hospital B, Portal | Hospital A, Hospital B, Portal | Hospital A, Hospital B, Portal | Hospital A, Hospital B, Portal | 3 of 25 | — |
| Top oncology centre nearby | Hospital C, Hospital A, Portal | Hospital C, Hospital A, Portal | Hospital C, Hospital A, Portal | Hospital C, Hospital A, Portal | 4 of 19 | |
| Knee replacement cost and recovery | Portal, Hospital D, Forum | Portal, Hospital D, Forum | Portal, Hospital D, Forum | Portal, Hospital D, Forum | 5 of 21 | — |
| 24x7 emergency hospital near me | Hospital B, Hospital E, Maps | Hospital B, Hospital E, Maps | Hospital B, Hospital E, Maps | Hospital B, Hospital E, Maps | 3 of 30 | — |
Illustrative modelled data — not live client results. Names anonymised.
A four-unit hospital group, modelled end to end.
A multi-specialty group was cited only for its flagship unit and only for two departments. We rebuilt department, consultant and location entities so each specialty could compete on its own terms.
- Hospital, MedicalClinic and Physician schema published per unit and per department
- Consultant directory normalised with registrations, sub-specialties and OPD availability
- Department pages rewritten as question-led answers covering procedures, outcomes and preparation
- Accreditation and outcome data moved from PDFs into structured, crawlable pages
- Weekly replays per department to attribute each citation change to a specific change
Illustrative modelled data — not live client results. Names anonymised.
Per-department visibility in one view.
Visibility trend and share of voice, loaded with a hospital-shaped dataset.
AI Visibility — Share of Voice over time
12-week trend, weighted across the tracked LLMs.
Tip: tab into the chart to focus a weekly data point, then use the left and right arrow keys to step through weeks. Press Escape to exit.
AI recommendation share — you vs competitors
Per-engine Share of Voice across the last 30 days of replays. Hover or focus a bar for the breakdown.
Illustrative modelled data — not live client results. Names anonymised.
Questions from hospitals teams.
Can we see visibility by department?
Yes. Prompt graphs are built per specialty and per unit, so cardiology, oncology and orthopaedics each get their own visibility, share-of-voice and gap reporting.
Does this involve any patient information?
No. Only public-intent prompts are replayed against AI engines. No patient records, appointments or identifiable information ever leave your systems.
How do we fix wrong information about our hospital?
We log every hallucination by engine and prompt, then recommend the specific entity, schema and page changes that correct the source material the engines rely on.
How many prompts does a hospital group need?
Most groups start with 400 to 800 prompts covering their main departments, procedures and locations, then expand as new specialties are prioritised.
What actually moves hospital citations?
Department-level entity hygiene and consultant credentials move the most, followed by machine-readable accreditation and procedure pages that answer patient questions directly.
See which hospitals AI names for your specialties.
Run a free audit and get the department-by-department breakdown of where you are cited and where you are absent.