The AI platform Hospitals and Health Care use to get recommended on
Patients ask a model about symptoms, insurance and who to see, long before they call anyone. LBOX measures what the engines say about your organisation, finds where a directory is answering in your place, and builds the evidence that corrects it.
Measured across
Perplexity
Gemini
Google AI
Claude
Copilot
Meta
DeepSeekGrok... and moreEvery one of them is competing for the same answer. One name comes back when a buyer asks.
What makes Hospitals and Health Care different
Not general marketing advice. These are the constraints your category actually operates under.
These are the highest-stakes answers on the internet and they are given about you without you.
A model describing your service line, your outcomes or your safety record is making a health claim on your behalf. There is no category where being described inaccurately carries more weight, and no category where the description is less likely to have come from you.
Insurance accepted and accepting new patients decide the call, and both go stale.
Those two facts change constantly and live mostly in third-party directories. A patient told you take their plan when you no longer do arrives angry, and a patient told you are closed to new patients when you are not never arrives at all.
Clinician credentials and specialties get blurred.
Board certification, subspecialty and scope of practice are precise, regulated things. A model that broadens a clinician specialty or attributes a credential they do not hold has created a compliance problem rather than a marketing one.
National health sites answer the questions your service line exists to answer.
Ask about a condition or a procedure and the engines quote large consumer health publishers. The local organisation that actually treats it is absent from the moment the patient is most decided and most frightened.
You are being read at the exact moment of symptom research, before any referral exists
Almost every other industry on this site is competing for a considered purchase. Health care is competing for a moment: someone typing symptoms at eleven at night, before they have a referral, a diagnosis or any idea who treats this. That is the earliest point at which a patient can be reached and the one traditional marketing never gets near, because there is no search intent to buy and no funnel to enter. It also compounds unusually hard. A patient is not a transaction, it is years of encounters plus the family who follow them and the referrals that come back. Being the name in that first answer is worth a decade of relationship, which is why accuracy matters here far more than reach.
What you get back
The console, measuring a company in Hospitals and Health Care against the questions its buyers ask. Every brand named, every domain cited, every engine separately.
A worked example on an illustrative company, shown to display the console. Your own numbers come from measuring your questions through the engines’ own APIs.
See which providers the engines name
Visibility and position on the unbranded who-should-I-see questions your patients ask, measured per engine.
- Ranked against the providers the engines actually named
- See where a model reads your pages without naming you
You against the field, engine by engine
unbranded questionsTurn what the answers get wrong into work that ships
Findings arrive as a worklist sorted by who can act: what LBOX writes, what needs your decision, what needs your clinical or compliance team.
- Scored against your service lines and conditions, not a generic SEO checklist
- Nothing publishes without your sign off
The worklist
Where you disappear as the patient gets closer to booking care
Presence falls away as intent rises. The who-should-I-see questions are the ones that convert, and the ones the directories win.
- Visibility split by where the question sits in the journey
- Names the stage that costs you the patient
Visibility by buying stage
where you show up in the journeyThe sources the engines trust about health care
Consumer health publishers and directories decide what the engines repeat about your care, your clinicians and the plans you accept.
- Owned versus earned, so you know what to build and what to earn
- Every citation traced to the answer it supported
Which domains the engines cite
702 citationsThe program for Hospitals and Health Care
Everything below is included. Measured through the engines’ own APIs, so the same questions can be asked again and the result checked.
- Measure what every major AI engine says about your organisation today, through the engines own APIs
- The patient questions you are actually asked, mapped by condition, service line and location
- Where a directory or a national health publisher is answering in your place
- Whether the engines state your service lines, insurance, clinicians and credentials correctly
- Which sources the engines cite for your conditions, and which of those you control
- Service line, clinician and condition pages built so the engines can read and quote them accurately
- Re-measurement on the same questions, so the change is provable rather than asserted
What this does not show: what any individual user saw. LBOX measures what the engines answer through their own APIs, which is repeatable and checkable. It is not a record of any one person’s session, and it does not predict revenue.