How to Become the Clinic AI Recommends

This guide follows my Forbes Business Council article, AI Is Changing How Patients Choose Healthcare Providers. That piece looked at what's changing. This one is about what to do about it.

A patient who wants a dental implant used to type "implants near me", open five tabs and compare. Now they ask one question: which practice near me is open late, is good with nervous patients and does implants within my budget? An AI tool gives them a shortlist of two or three names.

If your clinic isn't on that shortlist, the patient may never see your website at all. Here's how to give AI tools the evidence they need to include you, and give patients the proof they need to choose you.

Patients have stopped searching and started asking

Searches used to be short. Questions put to AI tools are long, specific and personal. They include budget, location, opening hours and how the patient feels: "I'm terrified of the dentist", "I want a clinician who specialises in this".

Two things follow from that:

• The answer is a shortlist, not a page of results. There's no page two. Either the AI includes you or it doesn't.

• Much of this research happens in the evening, when your reception is closed. The AI answers immediately, using whatever it can find about you online.

So the question for a clinic is no longer just "where do we rank?" It's "does AI understand us well enough to recommend us?"

The trust signals AI looks for

AI tools build their answers from information they can find and cross-check. For a healthcare provider, that means:

• Your Google Business Profile.
  Correct name, address, phone number, opening hours and treatments. Real photos of the clinic and the team. Treatment categories that match what you actually offer.

• Reviews, and your replies to them.
  Volume and recency matter, but so does what patients say. Reviews that mention specific treatments, clinicians and experiences ("Dr Patel was brilliant with my anxiety") give AI something concrete to match against a patient's question.

• Clinician profiles.
  A page for each clinician with their qualifications, experience, special interests and professional memberships.

• Registration details.
  GDC numbers for dentists, GMC numbers for doctors, NMC PINs for nurses, and your CQC registration if you're in England. These are public and checkable, which is exactly why they carry weight.

• Consistency.
  The same details on your website, your Google profile, directories and social media. When sources disagree, trust drops, for AI and for patients.

If AI can't find these signals, or finds them out of date, it has less reason to put you forward. A competitor with a complete, consistent footprint will usually be the safer recommendation.

Your website's new job: trust, but verify

When a patient arrives from an AI recommendation, they're not starting from scratch. They already have a name and a reason. What they want now is proof that the AI got it right.

That changes what your website needs to do. Less persuasion, more evidence:

• Who will treat me? Clinician profiles with qualifications and registration numbers, one click from every treatment page.

• Have you done this before? Before-and-after examples (with consent), case studies and treatment-specific reviews.

• Can I trust you? Professional associations, regulator registrations and accreditations, shown where they're relevant, not hidden in the footer.

• What will it cost and what happens next? Clear pricing or price ranges, and a simple way to book.

A useful test: if a patient checked your site for 30 seconds after an AI recommended you, would they find enough to confirm it? Showing what you've delivered beats telling them you're the best.

Why fewer clicks doesn't have to mean fewer patients

Many practices are seeing the same pattern in Google Search Console: impressions holding steady, clicks falling. That's what happens when AI Overviews and AI tools answer the early questions directly. The patient gets their answer without visiting a website.

It looks like a loss, but it changes who does click. The patients who reach your site after an AI answer are often further along. They know what they want and they're checking you out before they book.

So it's worth changing what you measure:

• Track enquiries and bookings, not just traffic. Fewer, better visitors can mean more patients.

• Look at which pages convert. Clinician profiles, pricing and treatment pages usually matter more than blog traffic.

• Check whether AI tools mention you. Ask ChatGPT, Gemini and Google's AI Mode the questions your patients ask, and see who comes up.

Make trust visible everywhere

AI doesn't only read your website. It reads everything it can find about you, so trust has to show up wherever patients and AI look:

• Keep your Google Business Profile complete and current, with photos, videos and a steady flow of reviews.

• Reply to every review, including the negative ones. A calm, helpful reply to a complaint shows future patients that you take responsibility, and it gives AI a fuller picture of how you treat people.

• Give every clinician a visible presence. Patients increasingly choose the person, not just the practice, so clinicians can't stay behind the brand.

• Fix outdated or wrong information on directories and third-party sites. AI can repeat old opening hours or a treatment you stopped offering, and the patient will hold you responsible.

AI may decide who makes the shortlist. Trust still decides who gets the booking.

A 15-minute self-audit you can run today

Work through these with your practice manager. Every "no" is a gap AI may be noticing too.

Frequently asked questions

How does AI decide which clinic to recommend?

AI tools build answers from information they can find and cross-check, such as your Google Business Profile, reviews, clinician profiles, registration details and your website. Clinics with complete, consistent and up-to-date information across these sources give AI more reason to include them in a recommendation.

Do reviews affect whether AI recommends my practice?

Yes. Reviews are one of the clearest signals of how a practice treats patients. Recent reviews that mention specific treatments and clinicians help AI match you to a patient's question, and your replies, especially to negative reviews, show that you take feedback seriously.

Should I worry that my website traffic is falling?

Not necessarily. When AI answers early questions directly, fewer people click through, but those who do are often closer to booking. Measure enquiries and bookings alongside traffic, and check whether AI tools mention your clinic when patients ask about your treatments.

What should a clinic website show to build trust?

Clinician profiles with qualifications and registration numbers, real results such as before-and-after images (with consent) and case studies, relevant accreditations, clear pricing or price ranges, and a simple way to book. Patients arriving from AI want to confirm the recommendation quickly.

Find out what AI says about your clinic

We'll check how your practice appears when patients ask AI tools for a recommendation, review your trust signals against the checklist above, and show you the gaps worth fixing first.