[ Healthcare ]
Be the clinic AI recommends.
When patients ask ChatGPT, Gemini and Google which treatment they need, which clinic to trust, or where to book, we make sure you are the answer, with the accuracy and authority that healthcare demands.
[ The questions your customers ask AI ]
[ Why now ]
Patients research on AI before they ever call your clinic.
A third of adults now use AI chatbots for health information, and one in five has already brought AI advice into the exam room. They ask which treatment, which clinic, which provider, and act on the short list AI gives. In a regulated, trust-led category, being the accurate, well-corroborated answer is the difference between a booked consultation and a competitor's.
Source: Tebra, 2024–2026
[ Why it matters, in numbers ]
32%
of US adults use AI chatbots for health information, nearly double 2024
KFF, 2026
37%
used generative AI to learn about care and compare providers
Deloitte, 2024
21%
of patients brought ChatGPT advice into a doctor's appointment
Tebra, 2026
~6×
higher conversion from AI referrals vs Google organic, in our client data
Index Lab, 2026
[ The fundamentals for healthcare ]
What you need to know about AI visibility in your space.
01
How your patients are searching on AI
Roughly a third of adults now use AI for health information, and use is highest among under-30s and working-age adults. The questions are decision-stage and local: is this treatment right for me, which clinic near me, what does it cost here.
02
How patients actually discover you today
Most patients still start on Google and almost eight in ten read reviews before choosing, but AI is now inside the journey: one in five brings an AI-generated view into the appointment itself. AI increasingly frames the shortlist that reviews and Google then confirm.
03
The shortlist-then-validate pathway
Patients ask AI for options, then validate the names it gives against reviews, credentials and your site before booking. You must appear in that first shortlist and survive the validation, which is where accuracy and corroboration matter more than in any other vertical.
04
What makes this market hard to win
Trust and entity resolution decide everything. Inconsistent name, address and phone across directories, fragmented phone numbers, and thin treatment pages dilute the model's confidence, so being listed everywhere is not the same as being selected. Presence is not selection.
05
The research your patients do before choosing
Healthcare is high-consideration: patients weigh reviews, clinician names, credentials and cost, often over several sessions. Rising branded and clinician-name search is an early trust signal, and clean, quotable answers to their real questions are what convert that consideration into a booking.
[ The takeaways ]
- Fix entity consistency first: name, address, phone and clinician details identical everywhere.
- Cover decision-stage questions (is this right for me, cost here, program types), not just service pages.
- AI-referred patients are high-intent, they converted around six times better than Google organic for us.
[ How we make you the answer ]
01
Entity & NAP hygiene
Make name, address, phone and clinician identity consistent across every platform so AI can resolve exactly who you are.
02
Decision-stage content
Answer the high-intent, local questions patients actually ask, structured so AI can quote them accurately and safely.
03
Review & authority signals
Build the review sentiment, credentials and third-party corroboration models weigh before recommending a provider.
04
Prompt-tier strategy
Win branded queries first, then decision-intent, then educational, mapping each uncovered prompt to the content pipeline.
[ Proof ]
Flash Facial · Express facials · Dubai
Partnered before opening: by launch, 1st in ChatGPT, Google AI Overviews and organic Google, fully booked on day one.
- +700% daily users
- 1st in ChatGPT & AI Overviews
- All slots filled opening day
[ Questions ]
Is AI visibility safe for a regulated, healthcare brand?+
Yes. We optimise for accuracy and corroboration, structuring genuine, compliant information so AI represents your clinic correctly rather than guessing.
Does AI traffic actually convert for clinics?+
It converts unusually well. In our client data, AI-referred sessions converted around six times higher than Google organic.
We have several locations and phone numbers, does that hurt us?+
It can. Fragmented name, address and phone data dilutes the entity signal AI relies on, cleaning it up is often the single biggest unlock.
How long until we see results?+
Most clinics see measurable AI-visibility gains within the first 6 to 8 weeks, with branded queries moving first.
See how visible your healthcare brand is in AI.