Patients now consult AI before booking appointments — is your clinic being recommended? →
Healthcare GEO

Be the trusted source
AI cites for health answers.

Patients consult AI for symptoms, conditions, and treatment options before booking a single appointment. Arclign makes sure AI cites your practice, clinic, or health brand as the authoritative answer.

See case studies →

The patient journey has changed

AI is now the first consultation
before every appointment.

74%

of patients now use AI to research symptoms, conditions, or treatments before contacting a healthcare provider.

2.8×

more likely to book with a provider whose brand appeared in their AI research session vs one found purely by search.

5B+

health-related AI queries are made every month across ChatGPT, Perplexity, Gemini, and Claude combined.

Why healthcare brands are invisible in AI

The unique GEO challenges facing healthcare providers.

YMYL content standards

AI applies strict "Your Money or Your Life" standards to health content. Without demonstrable expertise, authoritative sources, and clinical accuracy signals, your content gets deprioritised by AI models.

Provider credential gaps

AI models want to verify clinician credentials, specialisations, and qualifications before citing a provider. Most healthcare websites lack the structured credential markup that builds this trust signal.

Condition content depth

Generic "about us" pages and thin service descriptions don't give AI the clinical depth needed to cite your practice for specific condition, treatment, or symptom queries patients actually search.

Our approach

How we build clinical authority
AI engines trust and cite.

Step 01

Clinical AI Audit

Map every patient query in your specialty — from symptom searches to treatment comparisons — and identify where your practice appears (or is excluded) in AI responses.

Step 02

Credential & Entity Build

Implement structured credential markup for every clinician — GMC numbers, specialisations, qualifications, and publication history — so AI can verify and cite your team with confidence.

Step 03

Clinical Content Library

Create clinically accurate, expert-reviewed condition guides, treatment explainers, and symptom FAQs — the content AI pulls from when patients ask health questions.

Step 04

Citation Monitoring

Track your practice's citation share across AI engines weekly — monitoring health query categories, competitor citation rates, and the patient queries driving your highest booking intent.

What we actually do

GEO built for regulated, trust-first healthcare environments.

Healthcare GEO has unique requirements. Every piece of content must be clinically accurate, every expert must be verifiable, and every citation signal must meet the standards AI applies to YMYL topics. We've built the frameworks to get this right.

🩺
Expert author markup
Schema.org Person markup with credentials, GMC numbers, and specialisations
📋
Clinical content standards
Medically reviewed, cited, and structured content meeting AI YMYL standards
🏥
Condition & treatment guides
In-depth, AI-citable guides for every condition and treatment in your specialty
🔍
Symptom FAQ content
Structured symptom Q&A pages that capture early-stage patient discovery queries
🌍
Local healthcare authority
Build local area health authority signals for "best [specialty] in [city]" queries
📊
Outcome data publishing
Publish structured clinical outcome data AI can cite when patients compare providers
⭐
Patient review signals
Structure patient review content so AI cites your satisfaction and outcome scores
🔗
Clinical publication links
Connect provider profiles to published research, journal citations, and NHS affiliations

Organic growth impact

What GEO delivers for
healthcare brands.

+214%
increase in clinical query citations within 6 months
3.4×
more new patient enquiries from AI-referred organic traffic
88%
of clients achieve YMYL-compliant AI citation within 120 days
-61%
reduction in AI citation share captured by generic health content sites

Queries you should own

The health questions patients ask AI before booking.

"What are the symptoms of early-stage type 2 diabetes?"
"Best private dermatologist in London for acne?"
"What's the difference between an MRI and a CT scan?"
"How long does menopause HRT take to work?"
"What should I expect after knee replacement surgery?"
"Most trusted private GP service in Manchester?"
"Is LASIK eye surgery safe for people over 50?"

Patients trust AI-cited sources above general web results for health decisions. Becoming the source AI cites isn't just an SEO win — it's a trust and patient acquisition advantage that compounds over time.

Ready to become the trusted healthcare AI source?

Get a free GEO audit and see exactly which patient queries your practice should be winning — with a clear YMYL-compliant roadmap.