SAVI Report · UK Aesthetic Clinics · 2026
When someone asks ChatGPT, Gemini or Google's AI to recommend a clinic, it reads websites and puts a few names forward. We checked 1,567 UK aesthetic clinic websites to see how ready each one is to be picked. Just one is fully ready. Here is what the rest are missing.
Letting AI in is the easy part, and nearly every clinic does it. Giving the AI clear, well-labelled information - who the practitioners are, what the treatments are, what people say - is the part that wins the recommendation, and almost no one does it.
Every clinic gets a score from 0 to 100 for how ready it is to be found and recommended by AI. To reach the top "AI-Ready" band you need 80, and just one clinic gets there.
Four in ten clinics are Strong and half sit in the middle. When someone asks an AI to recommend a clinic, it names two or three, not ten. When nearly every clinic looks the same, the few that stand out win far more than their share.
The score is built from eight areas. Clinics do well on the things their website builder handles automatically, and fall down on the two AI leans on most: tidy labelled information, and signs of a known, trusted brand.
On our measure, UK aesthetic clinics are the most AI-visible sector in Britain. They average around 56 out of 100, ahead of accountants and dentists at around 52 and law firms at around 47. And still, just one of 1,567 clears the AI-Ready bar. The bar is high, and the whole market sits below it. The clinics that come closest are not doing anything exotic. They do a few specific, cheap things the rest have skipped.
Only 15% of clinics name a qualified practitioner in a way AI can read. In a field where AI is careful about medical advice, that leaves the other 85% effectively anonymous to the tools doing the recommending. Clinics that name their expert tend to score around 12 points higher.
Only 3% tag their FAQs so AI can lift them straight into a reply. The ones that do tend to score around 13 points higher. It is the highest-impact fix almost no one has made.
96% of clinics let AI crawlers in. Only 3% give them structured questions and answers to quote. An open door with empty shelves gets you nowhere.
The same thing keeps happening. Clinics write the content, hold the expertise and answer the questions, then never add the small labels that let AI read and trust any of it.
Only 15% of clinics name a qualified practitioner in a way AI can read. The expertise is real, and invisible to the machine.
84% of clinics never add the FAQ tag that lets AI use their questions and answers. The hard part is finished; the quick part is missing.
One clinic clears the AI-Ready mark: Androfill, at 85.4. The recipe is known, and almost no one follows it yet.
Adding the standard structured-data labels is worth about 20 points on its own, the biggest single win a clinic controls. Most still do not have them.
Aesthetics is won on trust and safety - named, qualified practitioners, genuine reviews, real credentials. Yet brand authority averages just 38 and structured data 41 across the index, so the very things a client (and an AI) look for before booking are rarely labelled in a way AI can read. This is the open goal.
Put the top few percent of clinics next to everyone in the middle and below. The whole difference is tidy, labelled information, not the quality of the treatments.
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How we did this. We checked each clinic's live website the same way an AI reader would, looking at more than 250 things that affect whether AI can find, understand and recommend it, and turned that into a score out of 100. The benchmark covers 1,567 UK aesthetic clinics identified from public listings and the SearchScore aesthetic-clinic index, each audited in 2026 for AI-search (GEO) visibility. We name only the ten highest-scoring clinics, all notified before publication; the rest stay anonymous.