Will AI really recommend a specific health-tech platform?

Yes. Ask an AI "which platform should we use?" and it increasingly answers with named products and a source, not generic advice. The only question is whether yours is one of those names. The Recommendation Index measures it across seven engines.

We handle patient and health data — will that be safe?

Yes. We strip personal and patient-identifying data before anything is drafted, and nothing ships that your team couldn't stand behind. Sensitive material never leaves your hands, and your compliance sign-off is the last gate before anything goes out.

No, though good SEO helps. Search ranks pages; AI names products and cites sources. We work the signals an engine uses to decide who to recommend — entity clarity, retrievable content, third-party citations — most of which a normal SEO programme never touches.

//.for_healthtech

A clinician, provider or buyer asks an AI which health-tech platform to trust before they ask a peer.Win the buyers it recommends.

There's a difference between showing up and being recommended.

Request an audit See where you stand

Start free. No commitment.

absent from the answer

FIG. 01 — What AI says

User prompt: “What's the best remote patient-monitoring platform for an NHS trust?”

ChatGPT

A few names come up: Lytton & Crowe and Pennington Wealth, both known for remote monitoring and clinician workflows.

(Is your platform in this answer? The Recommendation Index tells you.)

Illustrative example — not a real client

//.the_sector

Health-tech firms can't see where they stand

Clinicians and buyers ask an AI which platform to trust before they call anyone. If your name isn't in the answer, you never knew.

25%of UK GPs now use generative AI in clinical practice

Up from 20% a year earlier (Blease et al., Digital Health / SAGE, 2025; n=1,005 GPs). The clinicians who'd use your product are already adopting AI — and evaluating tools through it.

//.built_for_a_regulated_product

If your product is software as a medical device you answer to the MHRA, and every health claim answers to the ASA and the CAP code. So does how we work — every word is checked by a person and signed off by you, and no clinical claim ships without substantiation.

//.the_signal

The shift is already in the numbers

£505m

of NHS 'emerging tech' contracts — AI, data, digital patient engagement — are up for re-tender in the next 12–18 months (Stotles/GovNet, 2025). The buying is happening now.

76%

of NHS staff support using AI in patient care, and 81% for admin (The Health Foundation, 2025). The workforce that adopts your tool is already onside.

//.the_buying_trigger

Visibility is a growth question

Win buyers who arrive already trusting you, and your cost to win drops. Chasing procurement cycles for work you should have been shortlisted for is what caps your growth today.

£0what an AI recommendation you never earn is worth to you

Every quarter you stay invisible, better-fit trusts and providers appoint the platform the engine named. The retainer pays for itself by winning work that arrives already sold.

//.the_audit_001

What the Recommendation Index shows for a health-tech company

Inside a week you'll know where you stand, who's getting recommended instead, and what it takes to change it.

How your platform appears today when a clinician or buyer asks AI which product to trust, across seven engines.
Which platforms get recommended instead, and why those names.
Whether the engines understand you, confuse you, or know nothing about you.
The high-intent questions no platform yet owns in your category.

Then a plan, sequenced over four quarters.

✓

Keep

The content that's already earning you citations.

Start

The pages and proof the engines need before they'll quote you.

Stop

The effort going nowhere AI can read.

//.by_firm_type

By firm type

Digital health / patient apps

Buyers and patients shortlist apps the same way — be the name the engine gives, not the one it can't find.

Clinical software (software as a medical device)

Where accuracy is everything: the engines must cite your claims correctly and within what's substantiated, or not at all.

Health data & analytics

Known to peers, often invisible in the sources an engine reads when a trust asks who to trust with its data.

//.questions

Healthtech questions

Will AI really recommend a specific health-tech platform?: Yes. Ask an AI "which platform should we use?" and it increasingly answers with named products and a source, not generic advice. The only question is whether yours is one of those names. The Recommendation Index measures it across seven engines.
Our product is a medical device and our claims answer to the ASA — is this compliant?: Yes. If your product is software as a medical device you answer to the MHRA, and every health claim answers to the ASA and the CAP code. So does how we work — every word is checked by a person and signed off by you, and no clinical or efficacy claim ships without substantiation.
We handle patient and health data — will that be safe?: Yes. We strip personal and patient-identifying data before anything is drafted, and nothing ships that your team couldn't stand behind. Sensitive material never leaves your hands, and your compliance sign-off is the last gate before anything goes out.
Isn't this just SEO?: No, though good SEO helps. Search ranks pages; AI names products and cites sources. We work the signals an engine uses to decide who to recommend — entity clarity, retrievable content, third-party citations — most of which a normal SEO programme never touches.

AI can't recommend what it doesn't know.

See where you stand

Start free. No commitment.