Getting found by AI is not enough.

We start by testing treatment, concern and location-specific questions across ChatGPT, Claude, Gemini and Perplexity.

Questions like:

We do not test one generic prompt and call it insight.

We test the different ways patients ask for a recommendation: treatment-led, concern-led, practitioner-led, review-led, trust-led and location-led.

This shows where your clinic is currently being named, where it is being missed, and which competitors are being recommended instead.

AI assistants do not always answer from the original question.

They often rewrite the patient’s wording, run searches in the background, check sources, compare candidates and then decide who to name.

In one answer from our study, a single engine ran 13 separate searches before choosing who to recommend.

We analyse those hidden search paths to see what the engine actually looked for: which keywords it used, which sources it trusted, which clinics it checked and which signals appeared before the final recommendation.

That tells us what your clinic needs to be visible for.

ChatGPT, Claude, Gemini and Perplexity do not all trust the same sources.

One may lean on Google Maps. Another may use clinic websites more heavily. Another may check review platforms, directories, accreditation registers or third-party articles before naming a clinic.

Across our study, we analysed 9,310 cited sources to understand where each engine looks before recommending an aesthetics clinic.

We use that source map to identify where your clinic should appear, which profiles need fixing, and which missing signals are likely stopping you from being recommended.

AI does not only look at your website.

It checks the wider internet around your clinic.

We improve the places that help AI verify you, including:

• –Google Business Profile
• –Google Maps presence
• –Review platforms
• –Clinic directories
• –Accreditation profiles
• –Practitioner profiles
• –Treatment-specific listings
• –Trusted third-party sources
• –Local and specialist mentions

The aim is not to scatter your clinic everywhere.

The aim is to place your clinic in the right sources, with the right wording, so AI can connect your treatments, location, credentials and reputation with confidence.

Your website still matters.

But it cannot just describe treatments nicely. It needs to clearly explain what you offer, who provides it, where you provide it, who it is suitable for, what concerns it treats, what proof supports it and why your clinic can be trusted.

We improve your treatment, concern and location pages so they answer both sides of the search:

The way patients ask.

The way AI searches before it recommends.

That means clearer page structure, stronger treatment depth, better internal linking, practitioner and credential signals, location relevance, FAQs, reviews, proof points and trust language.

In our study, AI rewrote the patient’s question before searching in 73% of cases.

That matters because the wording changed.

A patient might ask about looking tired. The AI may search for under-eye filler, tear trough correction, skin quality, volume loss, practitioner experience or clinic credibility.

A patient might ask for natural results. The AI may search for subtle enhancement, conservative approach, doctor-led clinic, reviews, before and after evidence or Save Face registration.

We track these rewrite patterns by treatment and use them to strengthen the pages that matter most for your clinic.

AI is more likely to recommend a clinic when the same story appears across multiple trusted places.

That means your website, Google profile, reviews, directories, practitioner pages and accreditation signals need to line up.

We look for gaps and contradictions:

• –Different treatment names
• –Thin or outdated profiles
• –Missing practitioner credentials
• –Weak review signals
• –Poor local relevance
• –Unclear accreditation
• –Treatment pages with no proof
• –Directory listings that do not match the website

Then we tighten the footprint so AI can verify your clinic more easily.

AI search behaviour changes over time.

New phrases appear. Sources shift. Engines test different ways of finding and verifying answers.

We keep testing the major engines, track what changes, and update your website and offsite presence as the data moves.

This is not a one-off optimisation.

It is an ongoing visibility system designed to keep your clinic in a stronger position as AI search develops.