AI Search Audit
AI Search Audit for Dermatologists: Why Patients Find Skincare Advice Elsewhere in AI Search
Patients ask 'what's the best treatment for rosacea?' in AI engines. Your board-certified dermatologist's expertise should be cited — not a beauty blogger's opinion.
Get the AI Search Audit — $49 →The reality: Skin condition queries generate millions of monthly searches. AI search is increasingly the first step patients take before booking a dermatology appointment.
Why dermatology practices are invisible in AI search
When someone searches "what causes acne in adults" in ChatGPT, Perplexity, Claude, or Google AI Overviews, they get an AI-generated answer — not a list of links. The sites cited in that answer get the trust and often the call. The sites not cited get nothing.
Most dermatology practices rank reasonably well in traditional Google search. The problem is that AI search engines operate on a different signal set. Schema completeness, entity recognition, E-E-A-T signals, and content architecture — not just keyword rankings and backlinks.
The gap between "ranks well in Google" and "cited in AI search" is exactly what an AI search audit diagnoses and fixes.
What the audit checks for dermatology practices
Seven areas, in the order they typically have the most impact:
- Schema completeness. a dermatology practice should have MedicalBusiness, Physician, FAQPage schema — implemented correctly and validated in Google's Rich Results Test. Most dermatology practices are missing at least two of these schema types entirely.
- Entity recognition. Does Google (and by extension, AI models) recognize your business or practitioner as a named entity? Are your external profiles consistent and linked via sameAs schema?
- E-E-A-T signals. Named authorship above H1, credentials stated inline, first-person expert language, primary source citations — the signals AI engines use to evaluate trust.
- Topical coverage gaps. What questions are your potential customers asking in AI engines that your site doesn't currently answer? The gap report shows exactly which competitor content is getting cited instead of yours.
- Direct citation testing. We test your top queries in ChatGPT, Perplexity, Claude, and Google AI Overviews. You get a documented baseline of current citation rate — the metric that matters.
- Technical crawl health. Canonicalization, redirect chains, crawl budget issues — the technical barriers that prevent AI engines from reliably accessing your content.
- Internal linking audit. For dermatology practices with multiple service pages, the internal linking pattern determines how topical authority signals flow through the site. Most dermatology practices are draining equity toward dead ends.
The key signals we focus on for dermatology practices
Based on AI citation patterns across the healthcare space, these signals move the needle fastest for dermatology practices:
- Skin condition FAQ content
- Dermatologist E-E-A-T signals
- Treatment comparison guides
- Named physician authorship
What you get after the audit
Not a 200-point checklist. A prioritized action plan — the 10–15 specific fixes ranked by impact-to-effort ratio, with implementation instructions for each one.
You also get your citation rate baseline: which of your target queries are cited in which AI engines, at what position, right now. Every improvement you make after the audit is measured against this baseline.
Delivered within 5 business days. Money-back guarantee if you're not satisfied.
Ready to find out why AI engines aren't citing your dermatologist?
The AI Search Audit is $49 — delivered in 5 business days, with a prioritized fix list and citation rate baseline across ChatGPT, Perplexity, Claude, and Google AI Overviews.
Get the Audit — $49 →