AI search gives clinics another place to be discovered, but it does not guarantee a mention or an enquiry. The useful response is to publish accurate answers, show who is responsible for them and measure what happens after people find you.
This guide separates published research from practical recommendations for clinic websites. It does not assume that general search behaviour represents UK patients or that every AI platform chooses sources in the same way.
What does the research actually show about clicks?
Pew Research Center’s July 2025 analysis examined 68,879 Google searches made by 900 US adults during March 2025. A traditional search result received a click in 8% of visits with an AI summary, compared with 15% without one. Clicks on a link within the summary occurred in 1% of visits with a summary.
Those figures describe an association in a US browsing sample. They do not establish that AI summaries caused a particular clinic’s traffic loss, and they are not a benchmark for UK healthcare searches. Different queries can have very different intentions.
Does a clinic need special AI markup?
Google’s guidance for AI Overviews and AI Mode says normal SEO fundamentals still apply. A supporting page must be indexed and eligible for a search snippet. Google does not require an extra AI file or a special schema type, and eligibility does not guarantee inclusion.
For a clinic, the practical checks are straightforward: can the page be accessed, is its main information available as text, and can a visitor reach it from the relevant service or consultant page? Structured data should describe information that is actually visible on the page.
What should a useful clinic answer contain?
Start with the question a patient or referring professional needs answered. A page about a consultation should explain what the appointment covers, who provides it, the location, referral requirements, current fees and what happens next. Treatment information needs clinical review, balanced explanations and appropriate references.
Keep the scope of every claim clear. A national study is not your clinic’s result. A patient’s story is not a typical outcome. A professional opinion can be helpful when it is identified as an opinion and the author explains the reasoning.
Our recommendation is to improve a small set of important pages first. Add concise answers under descriptive headings, put sources beside factual claims and link related questions together. Avoid repeating an identical answer across numerous location pages.
How should clinics measure AI visibility?
Keep a dated record of relevant questions, the platform tested and the cited pages. Repeat a consistent sample rather than treating one favourable answer as proof of sustained visibility. Separate a brand mention from a clickable citation, and both from an attributable enquiry.
Google includes traffic from its AI search features within the overall Web search reporting in Search Console. It is not a separate AI-only performance report. Combine search trends with identifiable referral visits and qualified enquiries, while acknowledging attribution gaps.
What is the next practical step?
Review one priority service page alongside its supporting article. Check that both answer useful questions, cite their evidence and provide an appropriate next step. Our healthcare SEO priorities guide explains the wider foundations. The London Cardiovascular Clinic case study illustrates how search visibility and enquiry handling fit together; it is not a study of AI citations.
Discuss your clinic’s search visibility with MediWorks if you need help prioritising those changes.
