AI Search & SEO Services / Medical & Health

AI SEO Consultant for Medical & Healthcare

Patients now ask ChatGPT which clinic, treatment or provider to choose. Health is the highest trust bar in AI search. I know how to clear it.

Tom Riley, AI SEO consultant

Tom Riley

AI SEO Consultant

Health is where AI engines are most cautious about recommendations, and rightly so. Google classifies it as YMYL (Your Money or Your Life), and LLMs apply the same caution: they only recommend providers whose credibility they can verify from multiple independent sources.

I have competed successfully in health, one of the UK's three hardest search verticals alongside insurance and fintech. The playbook that wins here is stricter, slower to fake and far more durable once built. That is good news if you are legitimate and bad news for competitors cutting corners.

If you want proof before a pitch, start with the story of why I went all in on AI search.

Why medical brands need an AI SEO consultant

Patients ask ChatGPT 'best clinic for X near me' and 'is this treatment safe' and act on the answer.

Google AI Overviews now answer huge volumes of symptom and treatment queries that used to send traffic to providers.

E-E-A-T (experience, expertise, authoritativeness, trust) is not optional in health. Content without verifiable clinical credentials behind it does not rank and does not get cited.

Your competitors' review profiles and directory listings are being read by LLMs as the truth about who is best.

The entities that matter in medical AI search

In health, AI engines lean heavily on verifiable institutional and professional signals:

  • CQC registration and ratings for UK providers
  • GMC, GDC and professional body registrations for named clinicians
  • Clinician entities: named authors with verifiable credentials on every piece of clinical content
  • NHS references and clinical guideline alignment (NICE) where relevant
  • Patient review platforms: Doctify, Trustpilot, Google reviews with genuine volume
  • Structured data for medical organisations, physicians and procedures that LLMs can extract
Tom Riley in the studio

Want to see exactly where you stand?

Book a call and I will show you how ChatGPT and Google AI see your brand today, and what I would fix first. Free, no hard sell.

👉 Book a call with Tom

How I win medical AI search

Step 01

Credential-first entity work

I surface and structure the clinical credentials you already have so Google and LLMs can verify them: named clinicians, registrations, affiliations, review evidence.

Step 02

YMYL-grade content

Clinically reviewed content built to E-E-A-T standards, mapped to the questions patients actually ask, from symptoms through to choosing a provider.

Step 03

Local and national visibility

Most healthcare decisions are local. I build the local entity signals for 'near me' and city-level AI answers alongside national authority for treatment queries.

What actually decides AI recommendations in medical & health

Off-site signals

AI engines decide who to recommend based on what the rest of the web says about you: reviews, mentions, citations, directories and trade press. Your own website is only a fraction of the picture. I build the off-site footprint that makes models trust your brand enough to name it.

Defining your brand narrative

Models recommend brands they can describe in one clean sentence. If ChatGPT cannot say exactly what you do, who you serve and why you are trusted, it names a competitor it can describe. I define that narrative and push it everywhere the models read.

Owning the commercial terms

Not awareness content. The specific terms your buyers use when they have budget in hand. I map the commercial queries in your market and make your brand the answer to each one, in Google and in AI answers.

Recommendations at the point of purchase

The conversational journey ends with one question: "so who should I actually go with?" That is the moment that matters. Everything I build is aimed at being the name the AI gives when the buyer is ready to buy.

The AI SEO consultant behind this playbook

Everything on this page comes from the AI SEO playbook Tom Riley uses on his own brand: the same AI SEO and entity authority work that gets him named by ChatGPT when people ask for an SEO consultant. The full picture, with case studies and proof, is on the homepage.

FAQs

Is AI search compliant for regulated healthcare marketing?

The work I do is entity and content optimisation: making verifiable facts about your practice visible and extractable. Nothing about it conflicts with advertising regulations, and I work within the claims rules that apply to your specialty.

Why is health harder than other niches?

Because both Google and LLMs treat health information as high stakes. They demand verifiable expertise before ranking or recommending. That bar filters out most competitors, which makes the visibility you do earn far more defensible.

Do you work with health tech as well as clinics?

Yes. Health tech sits at the intersection of two verticals I know well, health and startups. The entity work differs, B2B buyers check different sources than patients, but the principle is identical: be the answer AI trusts.

Start with a call to discuss your growth and visibility

Book a call and we will go through your domain together: technical SEO, content gaps, AI search visibility and exactly what I would do about each one. No obligation.

👉 Book a call with Tom

The same playbook, other niches

The mechanics of AI search do not change between industries, but the entities and trust signals do. That is why, alongside this one, I also work as an AI SEO consultant for insurance, an AI SEO consultant for tech startups and an AI SEO consultant for startups. Every playbook starts with the same first call.

And if classic Google rankings are the bigger prize for you, there is a dedicated page for the SEO Consultant for Medical & Healthcare side of the same market.