

Be the practice ChatGPT suggests they call.
ChatGPT suggests
Someone describes a symptom, a stiff shoulder or a sleep problem to an assistant before they describe it to a person. The reply usually ends the same way: see a professional. Whether your practice is the one it names depends on two things — whether OpenAI has cleared your category to advertise, and whether the model has anything of yours worth quoting. We build both, next to our AI search work and the wider ChatGPT ads practice.
Tell us a little about your brand and we'll be in touch within 24 hours to lock in a time.

FOUR WORKSTREAMS
Four workstreams behind a wellness brand's AI visibility.
Four workstreams
Eligibility and the compliance work around it, the paid placements themselves, the answer layer that earns a citation, and a booking path built for someone who arrives already half-informed.
Eligibility & compliance
Paid campaign build
Answer-layer content
Booking & measurement
Healthcare is manually approved, and the line is narrow.
OpenAI says it may approve advertisers within healthcare and medicine, with the category rolling out gradually and approvals reviewed manually case by case. Search Engine Journal lists health insurance, dental services, supplements, vision products, medical testing and hospitals and urgent care among the categories now permitted — and no ads at all beside conversations about mental and personal health. General wellness offerings that stay clear of clinical claims may qualify, but the line is narrow.
So we start by placing your specific services on the right side of that line, in writing, before a budget is set. Where you are not yet eligible we say so and put the effort into the answer layer instead.
- Your services mapped against the current healthcare ad policy
- Advertiser verification prepared and submitted for you
- Claims reviewed before anything is written, not after
- A written timing expectation, never a promise of placement
29%
of adults now use AI tools for health information monthly, nearly double the 17% of June 2024
A conversation is not a results page. Buy it that way.
The ad appears beside an answer someone is in the middle of reading, so tone does more work than bidding does. Approved US advertisers may be eligible to promote consumer medical devices, dental services, hospitals and urgent care, health insurance, medical testing, vision services and certain cosmetic procedures, and each of those has its own tolerances.
We write for the specific moment: someone comparing clinics, checking what a first appointment involves, or asking what a treatment actually costs. No outcome claims, no urgency theatre, sensitive contexts excluded on purpose, and budget paced against booked appointments rather than click rates.
- Ads account, billing and tracking in your practice's name
- Copy written for a real question, with no outcome claims
- Sensitive and distressed contexts excluded deliberately
- Spend paced against booked appointments, reviewed weekly
25%
of Americans have used an AI tool for health information or advice
The citation is worth more than the placement.
An assistant asked what to do about a recurring back problem builds its reply from sources it trusts and then suggests seeing someone. Being the practice it names is durable in a way a placement never is, and the audience is already there: KFF found 32% of adults turned to AI chatbots for health information in the past year, matching the share who use social media, and West Health-Gallup reports 61% of those users reached for a general conversational system such as ChatGPT.
We build that layer from your own clinicians' knowledge — what a first visit involves, who a treatment suits, what it costs — written so a model can quote it without inventing a claim.
- Service and condition explainers written by name, not templated
- Structured so an assistant can quote a clean, accurate answer
- Credentials, licences, hours and pricing machine-readable
- Citation tracking across ChatGPT, Gemini and Perplexity
32%
of adults turned to an AI chatbot for health information in the past year
61%
of those users chose a conversational system such as ChatGPT
Privacy first, then the booking path, then the numbers.
Health enquiries carry obligations ordinary retail traffic does not. We keep protected health information out of ad platforms and analytics by design, review your tracking against your own HIPAA posture with your privacy lead, and treat that as a workstream rather than a footnote.
Then the booking path itself: a form a person can finish on a phone, honest pricing where you can give it, and a callback time your front desk can meet. YouGov found only 8% of Americans turn to AI first for health information, against 24% for search engines and 22% for a healthcare professional — which is exactly why we report this channel next to the others instead of on its own.
- Protected health information kept out of ad and analytics tools
- Tracking reviewed with your privacy lead before it goes live
- Cost per booked appointment by source, paid and organic together
- One monthly read in plain language
8%
of Americans turn to AI first for health information, against 24% for search engines
Ads account, analytics and content stay in your practice's name
A booked appointment is the metric, never an impression count
Working session with the people actually doing the work
Every eligibility judgement written down before anything runs
We made the difference for those brands
01 — The challenge
The first conversation about the symptom is not with you.
It happens at eleven at night, in a chat window, with someone describing a pain or a worry in more detail than they will ever put in a booking form. They get a calm, readable answer and a nudge to see a professional. Then they go looking. Most wellness practices have no idea what the assistants say about their category, their town or their own clinic at that moment — and no way of knowing whether they were named.
“They walk in already knowing the vocabulary, and half of what they know came from a chatbot.”
The habit is spreading fastest among the people practices most want to reach. Pew found 32% of adults aged 18 to 29 at least sometimes use AI chatbots for health information, against 16% of those aged 50 to 64, while KFF's tracking poll puts monthly use at 29% of adults, nearly double the 17% recorded in June 2024. This is a new front door, and it is being answered by whoever the model happens to trust.
02 — Our approach
Confirm eligibility, earn the citation, buy carefully, count booked appointments.
We start by mapping your actual services against the platform's healthcare rules, because the category is manually approved and the boundary between a general wellness offer and a clinical claim decides what you may say. You get that in writing before any budget is committed. In parallel we audit how the major assistants answer the twenty questions people ask before booking your kind of appointment in your area: which practices are named, which sources the reply is built from, and where you are absent. That audit becomes the content plan. Your clinicians supply the substance in one short recorded conversation each; we write and structure the pages so a model can quote them accurately, and we make licences, credentials, hours and pricing machine-readable. Where advertising is open to you we set the account up in your name, keep every claim inside what your professional body allows, exclude the sensitive contexts the platform itself protects, and start small enough to learn honestly. Privacy is handled as its own workstream: protected health information stays out of ad platforms and analytics, and your tracking is reviewed with your privacy lead before it goes live. Reporting is one page: citations gained, appointments by source, cost per booked appointment. We report the flat months too, and if this channel is not yet right for your practice we will say so and move the budget somewhere it works harder.
03 — What we did
A first quarter that builds standing, not just spend.
Eligibility and an assistant audit, then the answer layer, then compliant placements and a monthly read — in sequence, with a working session every week.
Weeks 1-2 / Position
Eligibility mapping and an assistant visibility audit
Which of your services the platform's healthcare rules allow, and how the assistants answer the questions people ask before booking your kind of appointment locally.

Weeks 2-6 / Answer layer
Service and condition pages your clinicians stand behind
What a first visit involves, who a treatment suits, what it costs and when to see someone else — written from your team's knowledge and structured so a model can quote it.

Weeks 4-8 / Placements
Compliant campaigns and a privacy-safe measurement setup
Account and billing in your name, claims kept inside what your professional body allows, sensitive contexts excluded, and protected health information kept out of every tool.

Monthly / Read
Citations, enquiries and booked appointments by source
One page: where you are being cited, who enquired, what it cost, what changed and what happens next month.

WHAT YOU GET
Deliverables your practice manager can audit.
can audit
Everything below lands in accounts you own and stays yours if you ever leave us.
Eligibility and platform read
Which of your services the current healthcare ad rules allow, what approval requires, and a candid view of the timing.
Assistant visibility audit
How ChatGPT and the other assistants answer the questions people ask before booking, and which sources they cite.
Answer-layer content
Service and condition pages written from your clinicians' knowledge and structured so a model can quote them accurately.
Campaign build and management
Ads account in your practice's name, compliant creative, deliberate context exclusions and weekly pacing against booked appointments.
Booking and privacy rework
A booking path a person finishes on a phone, with protected health information kept out of every marketing tool.
Monthly reporting
Citations, enquiries and cost per booked appointment by source, with paid and organic reported together.
HOW WE WORK
Operating standards, not promises.
Operating standards

Clinics and multi-site practices
Several locations, one set of claims: consistency is what makes a model quote you confidently.
ExploreMed spas and aesthetic providers
Certain cosmetic procedures are permitted; the wording around them is where approvals are won or lost.
ExploreWellness products and supplements
A general wellness offer clear of clinical claims has the widest room here, and the strictest editing.
ExploreBuilt on trust. Proven by results.
We partner with SMBs and Fortune 500 companies to deliver more than reach — we bring clarity, execution, and measurable outcomes. Every successful partnership starts with a strong culture fit and a shared drive to grow.








CASE STUDIES
Case studies
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FAQ
What wellness brands ask us first.
Can a wellness or healthcare brand actually advertise inside ChatGPT?
Some can, and we will tell you which side of the line you sit on before any budget is committed. OpenAI approves healthcare advertisers case by case as the category rolls out, and approved US advertisers may be eligible for consumer medical devices, dental services, hospitals and urgent care, health insurance, medical testing, vision services and certain cosmetic procedures. We prepare the verification, and the organic answer work starts immediately so you gain ground either way.
We work in mental health. Is this channel closed to us?
Paid placement is, and that is worth knowing early rather than discovering after a budget is approved. The platform does not run ads beside conversations about mental and personal health, which is a reasonable line to draw. The answer layer is wide open, though, and it is where the value sits for you anyway: when someone asks an assistant how to find a therapist locally or what a first session involves, the reply is built from published sources. We put the effort there, and into paid search where your category is welcome.
How do you keep this HIPAA-safe?
By treating privacy as a workstream rather than a disclaimer, and by designing it in before anything goes live. Protected health information never enters an ad platform, a tag manager or an analytics property: no condition names in URLs or form fields that reach a third party, no unfiltered form payloads, no pixels on pages where they do not belong. We review your existing setup with your privacy lead, document what each tool receives, and put the conversion tracking behind a boundary you have approved. Practices that inherited a messy setup usually find the clean-up the most valuable part of month one.
Is this just SEO with a new name?
They overlap, and the overlap works in your favour. Classic search rewards a page that ranks; an assistant rewards a page it can quote accurately, which means a clear answer, verifiable credentials, plain pricing and structure it can parse. Most of that lifts both surfaces at once, and your local search presence improves alongside. What is genuinely new is prompt auditing, citation tracking across several assistants, and the paid placements themselves, which behave differently from a search auction because the ad sits beside an answer.
How do you measure whether an assistant is citing us?
With a fixed prompt set and a repeatable test. We agree the questions someone in your area would genuinely ask before booking, run them across ChatGPT, Gemini and Perplexity on a schedule, and record whether your practice appears, what is said and which sources the reply was built from. That gives a baseline and a monthly trend line. Alongside it we tag assistant referrals in analytics and ask new patients at intake, so the qualitative picture and the enquiry count check each other, alongside the conversion tracking setup.
What does a programme like this cost?
A fixed monthly fee for the work, quoted after the audit rather than off a rate card, plus whatever media budget you approve separately and pay directly. For most wellness practices the content and citation work is the larger share early on because it produces the durable position, with media layered in once eligibility is confirmed. We agree a target cost per booked appointment in month one and report against it every month, including the months it did not move.
Should we move budget out of search and social into this?
Not yet, and we would rather say so. YouGov found 8% of Americans turned to AI first for health information in the last three months, against 24% for search engines and 22% for a healthcare professional, and Marketing Brew reports most regulated marketers are still testing rather than scaling here. The sensible position is a measured presence funded from a test budget while your proven channels keep running, then let cost per booked appointment decide the balance.
Do our clinicians have to write the content?
No. They talk for forty minutes and we do the rest. A recorded conversation with the practitioner who handles a treatment gives us what makes a page worth citing: what a first visit really involves, who it suits, who it does not, what people get wrong, what it costs. We draft, they review for clinical accuracy, and nothing publishes without that sign-off. It is the fastest way we know to produce pages an assistant will quote and a nervous person will trust, and it feeds our SEO work on the same site.
Will this bring in patients who just want free advice?
Fewer than you would expect, because we write for people already close to booking rather than for browsers. West Health-Gallup found most recent users reach for AI to research on their own before or after seeing a clinician — it is a supplement to care, not a substitute for it. Pages built around what a first appointment involves, what it costs and who a treatment suits filter far better than a general health article, and they qualify the enquiry before your front desk ever picks up.
How long before we see anything?
Citation movement usually appears within one to three months of the first content going live, because assistants re-crawl and re-rank sources faster than classic search settles. Paid placements, where eligibility allows, produce data within days but need a few weeks before the numbers mean anything. A predictable flow of appointments from this channel is a six to twelve month proposition, and we agree the leading indicators up front so nobody is waiting in the dark.
What if the platform changes its rules again?
It will, and the plan is built for that. The answer-layer content is yours and keeps working across every assistant and classic search regardless of what any one platform decides about advertising. The media side stays deliberately flexible: small tests, monthly commitments, nothing that depends on a single placement type surviving. We track the ad policy pages and changelogs weekly and tell you what changed and what it means for your practice, in the monthly read.
We are a single-location practice. Is this only for large groups?
Small practices often do better here, because an assistant is looking for the clearest answer to a specific question rather than the biggest brand. A single clinic that publishes genuinely useful, accurate guidance on one treatment can be cited ahead of a national chain for that treatment. The work scales down sensibly: a tighter prompt set, fewer pages, a smaller test budget once eligibility is confirmed, and the same reporting so you can see whether it is paying before you commit more — including the landing pages we build for it.
Can you run our other channels too?
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 appointment 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.


























































































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