AI Optimisation
Get cited inside ChatGPT, Perplexity, and Google AI.
When patients ask AI assistants which clinic to choose, whose clinic appears in the answer matters enormously. We build the content, entity authority, and structured signals that earn those citations.
The shift
Patients are asking AI which clinic to choose. Is yours the answer?
The hair transplant research journey is changing. A patient who would have typed 'best hair transplant clinic Turkey' into Google in 2022 is increasingly asking ChatGPT or Perplexity the same question in 2025 — and acting on the answer they receive. The AI assistant has become the first point of guidance in the decision journey.
AI assistants don't rank websites — they cite entities they trust. A clinic that appears in ISHRS directories, has structured Schema.org markup, publishes comprehensive procedure content, and is mentioned in medical publications is an entity that LLMs have sufficient signal to recommend. A clinic without these signals is invisible to the AI layer — regardless of how good their ads are.
AIO is the discipline of building those signals systematically. We combine entity SEO, structured data, content production for AI extraction, and authority signal placement in the sources that LLMs draw on — so your clinic is cited in AI responses when patients research hair transplants.
What's the best hair transplant clinic for UK patients going to Turkey?
What we optimise
Six signals that determine whether LLMs cite your clinic.
Entity establishment
Structured data markup (Schema.org MedicalOrganization, Physician, MedicalProcedure) tells LLMs exactly what your clinic is, who your surgeons are, and what procedures you perform. Without it, AI models struggle to build a reliable entity graph around your clinic.
Structured content
LLMs cite content that is factual, structured, and comprehensive. We produce procedure content that matches the exact question patterns patients ask AI assistants — procedure comparisons, recovery timelines, cost ranges, candidacy criteria — structured for extraction and citation.
Authority signal building
LLMs weight content from authoritative sources. We build mentions and citations across medical directories (ISHRS, ABHRS, RealSelf), patient communities (hairlosshelp.com, Reddit r/HairTransplants), and health publications that LLMs use as training and retrieval sources.
FAQ and conversational content
AI assistants are built on question-answering. We produce structured FAQ content that directly matches the questions being asked inside ChatGPT, Perplexity, and Gemini about hair transplant clinics, procedures, and surgeons.
Google AI Overview optimisation
Google's AI Overviews pull from the top organic results but apply additional LLM-level extraction logic. We optimise the specific on-page signals (clear factual claims, short evidence sentences, proper attribution) that Google's AI layer extracts for its generated summaries.
Citation monitoring
We track whether your clinic is being cited in AI responses using systematic query monitoring across ChatGPT, Perplexity, Gemini, and Google AI Overviews. Monthly reporting shows citation frequency, query coverage, and competitor comparison.
Why now
1 in 4
Medical research journeys now begin with an AI assistant query — up from near zero in 2022
62%
Of AI-cited clinics have structured Schema.org entity markup — vs 14% of uncited competitors
Early
Most hair transplant clinics have zero AIO strategy — first movers gain durable citation advantage
Illustrative market estimates based on 2025 AI adoption trends. Actual citation rates vary by market, procedure, and competitive landscape.
Process
How we build your clinic's AI visibility.
LLM visibility audit
We run 50+ hair transplant queries across ChatGPT, Perplexity, Gemini, and Google AI Overviews — procedures, clinics, surgeons, cost, recovery — and document whether your clinic appears, how it appears, and what competitors are being cited instead. This becomes the gap analysis that drives the entire programme.
Entity and schema build
We implement full Schema.org structured data across your clinic website: MedicalOrganization, Physician entities for each surgeon, MedicalProcedure for each treatment, FAQPage for FAQ content, and LocalBusiness for location. This creates a verifiable entity graph that LLMs can reference.
Content production
We produce the specific content types that LLMs cite: comprehensive procedure guides written for AI extraction (factual, structured, with cited claims), comparative content (FUE vs DHI — a frequent AI query), surgeon profile content with verifiable credentials, and FAQ content matched to real AI query patterns.
Authority signal placement
We place your clinic's entity in the sources LLMs reference: medical directory listings, structured mentions in patient community threads, citations in hair loss publications, and HARO/journalist engagement for press mentions in authority publications. The goal is for LLMs to see multiple corroborating sources about your clinic.
Citation monitoring and iteration
Monthly monitoring of AI citation frequency across our query set. We track improvement in citation rate, new query categories where citations appear, and the quality of citations (is the clinic mentioned positively and with accurate information?). Programme is adjusted monthly based on what's working.
What you get
Deliverables
LLM visibility audit — 50+ queries across 4 platforms
Full Schema.org structured data implementation
Procedure content — 6 comprehensive guides, AI-optimised
FAQ content — 40+ questions matched to AI query patterns
Surgeon entity content — verifiable credentials, structured
Medical directory listing audit and optimisation
Authority mention placement — 10+ relevant sources
Monthly citation monitoring report — query coverage and frequency
Competitor AI citation comparison
Google AI Overview optimisation — on-page extraction signals
FAQ
AI Optimisation questions answered
Ready to appear inside ChatGPT when patients ask about your procedure?
Book a free strategy call. We'll run your clinic through 50 AI queries and show you exactly where you're visible — and where you're not.