How to get your clinic found in AI search

What has actually changed

The scale of the shift is measurable, and it is domestic. Ofcom's Adults' Media Use and Attitudes research, published in April 2026, found that just over half of UK adults (54%) now use tools such as ChatGPT, Copilot or Gemini, up from around three in ten the year before. Among 25 to 34 year olds, the group most likely to be booking their own private appointments, it is roughly three quarters.

Clinic searches are one slice of that, and a growing one: a meaningful share of "who should I see about this" now happens in a conversation rather than a results page, and the shape of the answer is different. A search results page gives ten options and lets the patient choose. An AI answer gives two or three and a reason for each. Being eleventh used to cost you a click. Being fourth now costs you the mention.

How the answer gets built

It helps to know the mechanism, because it explains what to change. When someone asks an AI assistant for a physiotherapist in Bromley, the system does not consult a ranked list of clinics. It runs a search, reads a handful of pages, and writes a summary from what it can extract with confidence.

Three consequences follow from that:

• It can only say what it can find in text. A treatment named only in an image, a fee shown only in a PDF, or an opening time held in a booking widget is invisible to it.
• It prefers pages that answer the question directly. A self-contained paragraph that answers a specific question can be lifted into an answer. A page that builds slowly to its point cannot.
• It cross-checks. Details that agree across your site, your Google Business Profile and your professional-body listing get used with more confidence than details that appear in only one place, or that contradict each other.

Worth being honest about the limits here: these systems are not transparent, they change without notice, and nobody can promise you a place in an answer. What they consistently reward is being clear, findable and consistent, which is the same thing that worked before and is unlikely to stop.

Why clinic websites get skipped

Competition explains less of this than clinic owners expect. The usual reason is that the site never states the thing plainly, and four patterns account for most of it:

• No prices anywhere. "Contact us for our fee schedule" removes you from every answer to "how much does a physio cost in Guildford", which is one of the highest-intent questions a patient asks.
• Services listed as single words. A page reading "Sports injuries, manual therapy, acupuncture, rehab" gives a summariser nothing to work with. It cannot tell whether you treat a runner's knee.
• The location buried. A town name in the header logo and the footer address, but not once in the body copy of any service page.
• Details that disagree. Opening hours on the site that do not match the Google Business Profile, or a phone number that changed on one and not the other.

The page structure that gets used

What this takes is pages written so that a specific question has a specific answer near it. No new technology is involved.

1. One page per thing you actually treat. "Shoulder pain treatment in Croydon", not a single Services page listing fourteen conditions. Each page should name the condition, the symptoms patients describe, what an assessment involves, roughly how many sessions are typical, and the cost.
2. Answer the question in the first 60 words. Put the direct answer at the top of the section, then explain. This is also better for patients, who are usually reading on a phone with a sore back.
3. Publish your fees. Initial assessment, follow-up, and anything with a different price. Ranges are fine if genuine.
4. Write out the practical details in text. Where you are, what the parking is like, which day you are open late, whether you can see someone this week, whether you take insurance and which insurers.
5. Name your people and their registration. HCPC, GOsC, GCC, BACP as relevant, spelled out. Health topics get held to a higher standard by both search engines and AI systems, and a named registered clinician is the strongest signal a small clinic has.
6. Add structured data for the clinic and the FAQs. This is the one technical item, and it is a one-off job that makes your opening hours, address, and question-and-answer pairs machine-readable rather than merely visible.

Your Google Business Profile is doing more work than your homepage

For local health queries, the profile is usually the most-read thing you own. It supplies the name, address, hours, category, photos and reviews that get quoted back to patients, and it is where an AI assistant checks whether your site is telling the truth.

The practical implication is dull but real: keep the categories accurate, the hours current including bank holidays, and the services list complete. If the profile says "physiotherapist" and the website sells sports massage, shockwave therapy and post-operative rehabilitation, you are three services short in every answer that gets built from it.

It also needs to survive, which is a separate problem. A profile that gets suspended takes your most-quoted source of business information offline for weeks, so it is worth knowing what causes clinic listings to be suspended before you start editing one.

How to tell whether any of it is working

This is genuinely harder than it used to be, and anyone claiming precise AI visibility numbers is overselling. Three things are worth watching:

• Ask, at the point of booking. "How did you hear about us?" on the enquiry form catches what analytics misses. It is the only method that directly captures an AI recommendation.
• Watch referrals from AI domains in your analytics. Volumes are small and undercounted, but the direction of travel tells you something.
• Test it yourself, monthly. Ask a few assistants the questions a patient would ask about your town and specialism. Note who gets named and what the answer says about them. It is anecdotal, and it is also the fastest way to see what your competitors have that you do not.

Expect impressions to hold up better than clicks. When an answer resolves the patient's question without a visit, your traffic can fall while your enquiries stay flat or rise. Judge the work on bookings.

What is not worth your time

Publishing thin AI-written articles at volume, in the hope that quantity gets you quoted. It creates pages that say nothing specific, which is precisely what does not get used. One properly written condition page with real fees and a named clinician does more than twenty generic posts.

How this works at ClinicGrowth

The shift worth planning around is the one Ofcom's numbers describe: the proportion of UK adults using these tools roughly doubled in a year. For a clinic in a dense London borough, that changes the arithmetic. In Croydon or Wandsworth a patient searching normally sees a map pack and a page of options, and being sixth still gets you seen. In an AI answer, six clinics become three, and the ones that survive the cut are the ones whose pages state plainly what they treat, what it costs and who does it.

What separates them is rarely budget. It is that somebody sat down and wrote the answers out. Most clinic websites we review describe the practice; very few answer the questions patients actually type. A site that says "we offer a range of physiotherapy services in South London" and a site that says "an initial assessment is 45 minutes and costs £62, most shoulder problems take four to six sessions, and Sarah is HCPC-registered with a specialism in rotator cuff rehabilitation" are competing for the same patients with completely different odds.

ClinicGrowth's clinical content is written by practising HCPC-registered clinicians, which is why the condition pages we build stand up to the scrutiny both patients and these systems apply. Here is how that works.

Questions we get asked

The clinics that get named in AI answers are not doing anything exotic. They have written down what they treat, what it costs and who does it, in plain sentences, in the same words a patient would use.

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