AI recommendations aren't random
When ChatGPT recommends a specific clinic, it's not guessing. AI models synthesise information from multiple sources and select clinics that have the strongest, most consistent signal. Understanding what drives that selection is the key to improving your position.
At Orbyt, we've analysed AI visibility data across five UK and Irish cities. The clinics that consistently appear in AI answers share five characteristics.
1. Consistent entity data
Your clinic's name, address, phone number, and website URL must be identical everywhere they appear — your website, Google Business Profile, directories, review sites, and social profiles. AI models cross-reference these sources. Inconsistencies create doubt, and doubt means you get left out of the answer.
This is the single most common issue we find in audits. Even small variations — "Dr Smith's Clinic" vs "Dr Smiths Clinic" vs "Smith Aesthetics" — can fragment your identity in the eyes of an AI model.
2. Structured data on your website
Schema markup tells AI crawlers exactly what your clinic does, where it is, and what services you offer. Without it, AI has to infer this information — and inference is unreliable.
The most important schema types for aesthetic clinics are MedicalBusiness or LocalBusiness, Service (for each treatment), Person (for practitioners), and FAQPage (for common patient questions). Clinics with proper schema markup appear in AI answers significantly more often than those without.
3. Authoritative citations
AI models weight mentions in trusted sources more heavily than mentions anywhere else. For aesthetic clinics, this means presence in recognised medical directories, industry publications, local business directories, and reputable review platforms.
A single mention in a trusted publication can be worth more than dozens of low-quality directory listings. Quality matters far more than quantity.
4. Topical association
AI needs to understand what your clinic specialises in. If your online presence mentions "lip filler" once in a services list but a competitor has dedicated pages, blog posts, and cited expertise on the topic, the competitor will win that recommendation.
Building topical association means creating clear, consistent content that reinforces the connection between your brand and your key treatments. This isn't about keyword stuffing — it's about being genuinely informative on the topics your patients care about.
5. Positive sentiment in sources
AI models don't just check whether you're mentioned — they assess the sentiment of those mentions. Reviews, testimonials, and editorial mentions all contribute to an overall sentiment score. Clinics with consistently positive sentiment across multiple sources get recommended more confidently.
This is one area where reputation management directly affects AI visibility. Responding to reviews, maintaining high ratings, and generating genuine positive coverage all feed into the signal.
Where to start
The first step is understanding your current position. A free AI visibility audit will show you exactly how each of these five signals looks for your clinic — and where the gaps are.