Be the clinic ChatGPT names when someone asks about IVF.

Sometimes, and we tell you which side of the line you are on before any budget is committed. OpenAI approves healthcare advertisers case by case and keeps ads away from personal health conversations, and the published eligible list so far covers insurance, dental, supplements, vision, medical testing and hospitals under enhanced verification. We prepare the verification, apply on your behalf, and build the retrieval layer in parallel so the clinic gains ground either way.

It is the set of pages an AI system can find, trust and quote when a patient asks a question. A generation model does not invent a clinic recommendation from nothing; it retrieves passages from sources it rates, then writes an answer around them. So the work is to publish clear, specific, verifiable answers to the questions patients ask, attach your clinicians' real credentials to them, and structure the data so a system can parse it. Done properly it lifts classic search at the same time.

With a fixed prompt set run on a schedule. We agree the questions a patient in your city would genuinely ask, run them across ChatGPT and the other major assistants monthly, and record whether your clinic appears, what is said about it, and which sources the answer draws on. That gives a baseline and a trend. Alongside it we tag assistant referrals in analytics and add one question at enquiry, so the qualitative and quantitative pictures check each other.

No, and that is a hard rule rather than a preference. We do not publish success rates, outcome predictions or medical advice. What we publish is process, cost, logistics, funding, what a test measures, what an appointment involves, and who your clinicians are — the practical information patients search for and assistants quote. Your medical lead approves every page before it goes live, and anything they are not comfortable with does not publish.

Search is still the volume channel and we would not switch it off. The public fertility benchmark sits at $9.84 average CPC, a 6.8% conversion rate and $112 cost per acquisition, which is the number any new channel has to be judged against. The AI layer is where the earlier research now happens, and being quoted there is a durable asset rather than a rented one. We usually keep search funded, add a measured position here, and let cost per booked consultation decide the balance.

It is, precisely because the buy is kept narrow. OpenAI does not place ads near sensitive user content, including personal health conversations, and we add our own exclusions on top. The moments we do consider are practical ones: comparing clinics in a city, asking what a consultation costs, researching funding. Patients in the middle of a difficult private conversation should not meet an advertisement, and we would rather run a smaller programme than a tasteless one.

Citation movement typically appears one to three months after the first content is live, because assistants refresh their sources faster than classic search settles. Paid placements, where eligibility allows, produce data within days but need a few weeks before the numbers are meaningful. A steady flow of booked consultations attributable to this channel is a six to twelve month proposition, and we agree the leading indicators up front so nobody waits in the dark.

We write it; your clinicians talk. Roughly forty minutes each with the people who answer these questions in clinic every day gives us the specific detail that makes a page worth quoting: what a result actually indicates, what patients most often misunderstand, what the first appointment covers. We draft, your medical lead reviews and approves, and the total demand on clinical time across a full programme is usually a few hours a quarter.

Nothing we run needs patient-level data, and we do not upload any. Measurement uses page-level analytics, call tracking and your own enquiry records inside your systems, and any tracking we install is configured with your privacy policy and consent setup rather than around it. Where a platform feature would require sharing information we think a patient would not expect to be shared, we leave it switched off and say why.

It is one of the better opportunities available to a single site. An assistant answering a city-specific question is looking for the clearest, most specific source rather than the biggest brand, and national networks usually publish generic material. A clinic that answers local questions properly — costs in that city, funding routes, what the local referral pathway looks like — can be quoted ahead of a much larger group. The programme scales down sensibly for a smaller budget.

It will, and the plan is built for it. The retrieval-layer content is yours and keeps working across every assistant and classic search whatever one platform decides about advertising. The media side stays deliberately flexible: small tests, monthly commitments, nothing dependent on a single placement type surviving. We follow the policy pages and changelogs weekly and summarise what changed, and what it means for you, in the monthly read.

Yes, and the numbers get more honest when one team holds them. Our AI search, paid search and analytics specialists work from the same plan, so a booked consultation is attributed once instead of claimed by three suppliers. Hiring us for this channel alone is equally fine — we document the setup and leave every account open in your name.