Growth for healthcare, starting from what buyers ask.
Below is the working prompt set for this vertical — 8 questions your buyers put to an assistant before they ever reach your site. Everything we build is scored against it.
Get your prompt setThe prompt set
8 questions we measure against
- 01Best orthopaedic clinic near me that takes my insurance
- 02Which private hospital has the shortest wait for a knee replacement
- 03Is this clinic accredited and who are its consultants
- 04Cost of an MRI scan without insurance
- 05Paediatric dentist near me open on Saturdays
- 06Which fertility clinic has the best published success rates
- 07Second opinion service for a cancer diagnosis
- 08Physiotherapist who treats sports injuries in my area
Your live set is built around your categories, locations and competitors. This is the starting template for the vertical.
What makes this vertical different to work in
Regulated claims limit what marketing can say, and generic content fills the gap
Directory and insurer listings disagree with the practice's own site
Individual clinicians are more searched for than the practice itself
What we usually run here
Example implementation framework. What follows describes how we would approach a healthcare engagement. It is method, not a record of a completed client project, and contains no performance figures.
Regulatory constraints
Advertising and medical claim regulation varies by jurisdiction. Every claim is checked against what the regulator permits before it publishes.
Business challenges
Claims are constrained, so content defaults to generic
Regulation limits what can be said, and most practices respond by saying nothing specific — which is exactly what makes a page unciteable.
Directory and insurer data contradicts the practice site
Hours, addresses, accepted insurers and clinician lists disagree across sources, splitting the entity and undermining trust signals.
Individual clinicians outrank the practice
Patients search named consultants more than practice names, but clinicians are rarely structured as entities in their own right.
AI marketing, SEO, GEO and AEO strategy
Clinician entity structuring
Each practitioner given a structured profile with credentials, specialisms and affiliations, linked to the practice entity.
Condition and procedure answers
Answer-first pages for the conditions patients actually search, written within regulatory limits and cited to clinical sources.
Insurance and cost transparency
The two questions that decide bookings, answered plainly where competitors stay vague.
Review velocity
A repeatable ask at a repeatable moment, since review volume is a dominant local and AI signal in healthcare.
30, 60 and 90 day action plan
- Days 1–30
Baseline and foundation
- Prompt set for conditions and procedures
- Baseline across four assistants
- NAP and insurer data reconciliation
- Technical and accessibility audit
- Days 31–60
Structure and publish
- Clinician entity profiles
- MedicalBusiness and Physician schema
- First condition answer pages
- Insurance and pricing clarity pages
- Days 61–90
Convert and corroborate
- Review generation programme live
- Booking journey conversion work
- Local citation building
- First re-measure against baseline
Expected workflow
- 01DiscoverBuild the prompt set from real buyer language, record the visibility baseline across four assistants, and audit the technical foundation.
- 02DiagnoseRank findings by commercial impact rather than severity label, and agree what qualified means with the people who take the calls.
- 03BuildRemediate the foundation, deploy the schema graph, and restructure templates so a complete answer sits at the top of each page.
- 04PublishShip answer-first content against the highest-value prompts, with every statistic carrying a named source and date.
- 05CorroborateBuild the mentions, listings, reviews and coverage that let an assistant verify claims somewhere other than your own site.
- 06MeasureRe-measure against the recorded baseline monthly and report pipeline first, with attribution limits stated in the report.
Deliverables
- Category prompt set and recorded visibility baseline
- Technical audit with a prioritised, costed fix list
- Schema graph across every page template
- Answer-first content programme
- Citation and corroboration programme
- Conversion instrumentation and attribution model
- Monthly report opening with pipeline created
AI tools and automation
AI visibility
- ChatGPT
- Google Gemini
- Perplexity
- Microsoft Copilot
- Claude
Search & measurement
- Google Search Console
- Bing Webmaster Tools
- GA4
- Looker Studio
Technical
- Screaming Frog
- PageSpeed Insights
- Schema validators
- Lighthouse CI
Automation & CRM
- HubSpot or equivalent CRM
- Workflow automation
- Lead routing and alerting
- Conversational agents
KPIs healthcare businesses typically monitor
Citation rate on condition prompts
Measures the specific queries patients put to assistants before choosing.
Booking conversion by entry page
Shows which clinical content actually produces appointments.
Review volume and rating by location
The strongest local trust signal, and the one most often left unmanaged.
Named-clinician search visibility
Patients search people, not practices.
New patient enquiries by source
Separates paid, organic and referral so budget can move on evidence.
Frequently asked questions
Yes. We work to what the regulator allows in your jurisdiction and will tell you when a requested claim is not defensible, rather than publishing it and dealing with the consequences later.
Find out what AI says about you right now.
We run your real buyer prompts through four assistants and send you the transcript, with your position and your competitors’. No charge, no call required to receive it.
Typical turnaround: 3 working days.