The verdict in three sentences
In New York, a growing share of plastic surgery patients start their research with a question to an AI assistant like ChatGPT, before they even type a surgeon's name into Google. These assistants mention practices whose public information is consistent, factual and verifiable elsewhere: credentials, procedures offered, address, reviews, third-party articles. On the market this work costs USD 3,000 to 15,000 for an initial audit and is measured with a dated record of the answers to the same questions, month after month, with no guarantee of being recommended.
What do New York patients ask AI assistants like ChatGPT?
The questions no longer look like keywords. They are long, local and mix safety, price and logistics. Here is the kind of query a Manhattan or Brooklyn practice should track in 2026.
| Question asked to the AI | What the patient really wants | What the answer often draws on |
|---|---|---|
| Which board-certified surgeon for revision rhinoplasty in Manhattan? | Experience with one specific procedure | Detailed procedure pages, certification shown |
| How much does a tummy tuck cost in New York, anesthesia included? | Real total cost | Published ranges, financing pages |
| What are the risks of breast augmentation after 40? | Medical reassurance | Risk and recovery pages signed by a physician |
| Does an Upper East Side surgeon operate in an accredited facility? | Safety of the setting | Mention of operating room accreditation |
| How much time off work after a neck lift? | Planning around work | Step-by-step recovery timeline |
| Which practices offer a virtual consultation before I travel from Long Island? | Logistics | Clear consultation page, format and fee |
| How can I check that a surgeon is really board certified? | Distrust | Link to the certifying board, detailed profile |
For a practice the stakes are concrete: if the AI names three peers and not you on revision rhinoplasty, those patients arrive at consultations with a shortlist already made.
Why some practices appear in answers and others do not
AI assistants like ChatGPT build answers from what is published and repeated across the web. Several factors weigh in, with no public formula and no guarantee.
Consistent information. Practice name, surgeon names, address, procedures: if they differ between your site, directory listings and hospital profiles, the AI hesitates or gets it wrong.
Factual pages per procedure. One page per procedure, with indications, contraindications, what happens, recovery and a cost range, gives the AI something to cite. A before-and-after gallery homepage is not enough.
Third-party mentions. Local press articles, conference talks, professional directories, hospital affiliation profiles.
Structured data and freshness. Markup for physicians, the practice and procedures, plus pages that are updated and dated.
Reviews, within the rules. The FTC regulates testimonials and adopted a rule against fake reviews in 2024; state medical board rules also apply to advertising. Before-and-after photos and testimonials require written consent and care. Forms should limit the health data they collect, as HIPAA may apply to covered entities. This is not legal advice.
What the work covers and what it costs on the market
The market is young. The figures below are 2026 ballpark ranges drawn from typical agency quotes and public agency rate pages, to be read with caution.
| Service | Scope in broad terms | 2026 ballpark |
|---|---|---|
| Initial AI visibility audit | Record of current answers, gaps versus the practice's reality | USD 3,000 to 15,000 |
| Cleanup of public information | Site, directories, surgeon profiles | USD 2,000 to 8,000 |
| Rewritten procedure and risk pages | Factual content reviewed by a physician | USD 400 to 1,200 per page |
| Monthly program | Tracking, content, third-party outreach | USD 2,500 to 10,000 per month |
| PR and third-party content | Articles, interviews, talks | USD 3,000 to 12,000 per month |
| Monthly answer tracking only | Dated record and report | USD 500 to 2,000 per month |
At Kolonell this kind of engagement is on quote, after a diagnostic. Be wary of any offer that promises a ChatGPT recommendation: nobody controls those answers.
How to measure without fooling yourself
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The only honest measure is a dated record: the same list of questions asked at regular intervals, with the answers archived. Three indicators are enough to make decisions: the share of answers that mention the practice, the accuracy of what is said (surgeons, procedures, address, certification) and the type of sources cited when they appear. Answers vary from one session to the next, so the trend over 3 to 6 months matters, not a single screenshot.
Watch for errors too: an AI that credits your practice with a procedure you no longer perform, or with a former partner, creates a reputational and compliance risk. Fixing those gaps is often the first measurable win.
On the site itself, accessibility matters: ADA Title III website suits are frequent in New York, and WCAG 2.1 or 2.2 AA remains the reference target.
Mini case study
Illustrative example: 'Hudson Facial Surgery', two surgeons in Midtown. The practice tracks 30 questions, each phrased 2 ways, once a month: 60 archived answers per month, 360 over six months. At the first record, the practice appears in 6 answers out of 60, or 10%, and 2 of those 6 answers name a former partner. Assumed market budget: a USD 6,000 audit, then tracking and content at USD 3,500 per month for 6 months, so 6,000 + 21,000 = USD 27,000. The practice compares that figure with its average fee per procedure before deciding, with no promised outcome.
FAQ
Are AI assistants like ChatGPT replacing Google for plastic surgery patients?
No, the two coexist: many patients ask an AI, then check Google, directories and the practice's site. Tracking 30 to 50 questions shows where you stand.
Can anyone guarantee that ChatGPT will recommend our practice?
No. No provider controls those answers; the work improves the quality and consistency of public information, then measures change over 3 to 6 months.
What does this work cost in New York?
As a 2026 ballpark, an audit costs USD 3,000 to 15,000 and a monthly program USD 2,500 to 10,000. Kolonell prices on quote after a diagnostic.
Do before-and-after photos help?
They reassure patients but require written consent and compliance with medical advertising rules. For AI assistants, a factual 800 to 1,500 word procedure page reviewed by a physician usually carries more weight than a gallery.
How often should answers be recorded?
Once a month is enough for most practices, with the same questions and the same archiving method. An extra record after any major change (new partner, new procedure) completes the picture.
Find out how AI assistants describe your firm. We record what AI assistants like ChatGPT say about your practice today on your New York patients' questions, and we price the corrections that matter. Request a diagnostic quote: reply within 48 hours.
Mohamed Bah
Fondateur, Kolonell
Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.
