Your next patient is no longer looking for you. They are asking their AI.
And the AI answers: three names, rarely more. The question is no longer whether you have a handsome site. It is whether you are in the answer.
Health questions put to ChatGPT, every day.
OpenAI · 2026One patient in seven has consulted an AI model instead of their GP.
King's College London · 2026Gave up on an appointment after a conversation with an AI model.
King's College London · 2026“We already have a site and an online booking system.” Yes. And here is why that will stop being enough.
Your site is your brass plate.
Yesterday the patient stopped in front of it and read. Today the AI model does not stop in front of a plate: it questions the whole neighbourhood — reviews, directories, press, publications. And your site, somewhere in the middle of all that. A site on its own, left to live its life, weighs almost nothing.
A booking platform takes the appointment. It does not choose whose.
By the time the patient opens the booking app, the decision is already made — and it is increasingly made in a conversation with an AI model. Tomorrow the AI assistant will do the booking itself… with the colleague it has chosen.
You know how referral between colleagues works: the patient goes where they are sent. AI is becoming the largest referrer of patients in the country. The only question: does it know you, and what does it say about you?
This is not a fad. Something has installed itself between your patients and you.
The patient asks
They no longer type “cardiologist Lyon” into Google. They ask a question, the way they would ask a friend who knows.
Your patients already do thisThe AI reads the sources
It reads everything on their behalf: directories, reviews, press, your site. It does not visit your waiting room — it reads your traces.
Your site is read by a machineIt recommends
It hands back an answer already filtered down: two or three names. No page 2, no “see more”.
Absent from the answer, absent from the decisionTomorrow, it books
AI assistants already make appointments. Tomorrow the patient will delegate the whole thing, recommendation included.
Design your visibility for AIGoogle took years to change your patients' habits. AI did it in months.
Those who ignored Google spent ten years catching up. This time the window is shorter.
The fastest adoption in the history of consumer technology: 800 million people now use it every week. Your patients are among them.
30 seconds to find out where you stand.
Open ChatGPT and ask: “Recommend me a good [your speciality] in [your city].”
Check that everything is accurate, then run the test again on Perplexity, Gemini and Claude. The answers differ.
Someone else is. And they will stay there for as long as nothing changes in what AI models read about you.
Healthcare — we did not wait for AI to start working on it.
250+ clients supported
Half of them in the medical sector: practitioners, practices, clinics. Visibility and reputation are the ground we come from.
4 AI models measured continuously
ChatGPT, Perplexity, Gemini and Claude, queried by technology we built in house, with one AI agent dedicated to healthcare.
Professional conduct respected
No advertising, no bought position: accurate information in the sources AI models consult. Fair, measured, compliant.
Your professional code forbids commercial promotion and paid placement. It allows fair information about your practice. That is exactly what we work on.
How do we measure it? With a tool we built ourselves.
Built in house, fed by eight years on the ground in healthcare. It puts your patients' questions to ChatGPT, Perplexity, Gemini and Claude, several times over, because an AI model never answers twice the same way.
AI measures. People decide.
Nothing here runs on full automation: the technology does what it does better than we do, and our specialists do the rest.
AI agents built for GEO
- Built in house, trained on our method, not generic tools
- They query, measure and monitor the 4 AI engines, continuously
- Including one agent dedicated to healthcare, the ground we have worked since 2018
Specialists who decide and deliver
- A dedicated project manager who knows your account, not a support ticket
- Every recommendation is signed off by a specialist before it reaches you
- Strategy, judgement calls, the relationship: you do not delegate that to a machine
Going further, article by article.
Être recommandé par ChatGPT quand un patient cherche un médecin : le guide du GEO en santé
Vos patients demandent de plus en plus à l'IA quel praticien consulter. Comment ChatGPT, Perplexity, Gemini et Claude choisissent qui recommander, ce que nos mesures révèlent, et les trois leviers pour exister dans ces réponses.
Read Santé · 6 minPourquoi Doctolib domine les réponses des IA santé — et comment exister à côté
Nous avons mesuré ce que ChatGPT, Perplexity, Gemini et Claude citent quand on leur pose des questions de santé : Doctolib apparaît dans une réponse sur deux. Les chiffres, moteur par moteur — et ce que ça change pour votre cabinet.
Read Santé · 5 minQue disent les IA de votre cabinet ? Et comment le savoir vraiment
Vos patients posent leurs questions de santé à ChatGPT, Perplexity, Gemini et Claude. Voici ce que ces moteurs disent des praticiens, pourquoi une vérification manuelle ne suffit pas, et comment on le mesure sérieusement.
ReadOur analysis is published in French.
Do you know what AI models say about your practice?
What do AI models say about you today, on the questions your patients actually ask? Not an opinion — a measurement.
€390 · deducted in full from your first month if you go on to work with us
No commitment · Presented by your dedicated project manager · Paris · Lyon · Barcelona