Most med spa owners assume that if their Google reviews are strong and their website looks professional, they're in good shape. But AI recommendation engines use a different set of signals — and the average clinic has fewer than three of them in place before an audit.
This checklist covers the exact signals that determine whether ChatGPT, Claude, Gemini, and Perplexity recommend your clinic when a patient asks for a recommendation. Work through both sections and score yourself honestly.
Why this checklist exists
AI tools don't rank businesses the way Google does. They synthesise information from multiple sources and build a trust picture. If that picture is incomplete or inconsistent, your clinic gets left off the shortlist — regardless of how good your actual service is.
The signals below are the ones that consistently separate clinics that appear in AI recommendations from those that don't. They fall into two categories: things on your website that AI can read directly, and things off your website that AI uses to corroborate what you claim.
Most clinics are weak on both. The ones that fix both categories first tend to see results within 60–90 days.
Website signals
These are the signals AI extracts directly from your website. Each one is either present or it isn't — there's no partial credit.
- LocalBusiness or MedicalClinic schema markup is implemented on your homepage and location pages
- Each major treatment has its own dedicated page with a full description, FAQs, and expected outcomes
- Every practitioner is listed by full name with credentials, years of experience, and treatment specialisations
- Your city, neighbourhood, and service area are explicitly mentioned in body copy — not just in the footer address
- A FAQ section exists on your homepage or services pages answering at least 6 common patient questions
- Your meta descriptions accurately describe each page's specific content rather than using generic clinic branding
Off-site signals
These are the signals AI uses to verify that what your website says is true. They come from third-party platforms, directories, and publications — sources the AI treats as independent confirmation.
- Your clinic is listed on at least three relevant directories (Google Business Profile, RealSelf, Healthgrades, Yelp, or similar)
- Your name, address, and phone number are identical across all directory listings — no variations or outdated entries
- Reviews on at least two platforms mention specific treatments, practitioners, or outcomes by name
- Your clinic has been mentioned in at least one third-party publication, local press piece, or industry association listing
- Your practitioners have professional profiles on LinkedIn or a medical directory that corroborate their credentials
How to score yourself
Count how many items you can check off honestly. If you have 8 or more, your AI visibility foundation is solid — the next step is testing what AI actually says about you. If you have fewer than 5, you're likely invisible in AI recommendations right now, and the gap is fixable.
The most common pattern we see: strong website signals, weak off-site signals. Or the reverse — active on directories, but a website that AI can't parse. Both halves matter. AI cross-references them, and inconsistency between the two is itself a negative signal.
If you want to know exactly where you stand — not just against this checklist but against the actual queries your patients are asking — an AI Referral Scan will show you the full picture.
Get your full AI visibility score
GetCited runs a 5-day AI Referral Scan — testing 50+ queries across ChatGPT, Claude, Gemini and Perplexity to show exactly where you appear, who appears instead, and what's missing.