The verdict in three sentences
In Miami, a growing share of prospective patients starts by asking AI assistants like ChatGPT which fertility clinic to see, what IVF costs or whether the team speaks Spanish, before they even visit a website. A clinic shows up or not depending on the consistency and clarity of its public information, the presence of reliable third-party sources and the way it explains its outcome data, never thanks to a trick. On the market, this work runs between $2,000 and $7,000 a month (2026 ballpark) and is judged on a dated record of answers, not on a promise of being recommended.
What do patients actually ask AI assistants?
The questions are precise, often emotional, and mix cost, timing, language and family situation.
| Question asked to an AI assistant | What the patient really wants | What your site must make clear |
|---|---|---|
| “Which fertility clinics in Miami for a woman over 40?” | A shortlist suited to her age | Pathways by age group, with no promise |
| “How much does egg freezing cost in Miami?” | A price range | Ranges, what is included, medication separate |
| “IVF clinic in Miami that speaks Spanish?” | Care in their language | Spanish-speaking team and content |
| “How do I read a clinic's SART success rates?” | To understand the data | Link to official data, honest explanation |
| “Is IVF covered by insurance in Florida?” | Out-of-pocket cost | Accepted insurers, financial counselor |
| “Fertility clinic in Miami for same-sex couples?” | An inclusive team | Programs offered as legally allowed |
| “Egg donor program in Miami: timeline and cost?” | A concrete decision | Steps, indicative timelines, cost ranges |
| “IUI vs IVF, and what does each cost?” | Choosing a first treatment | Factual treatment pages |
An IVF cycle in the United States often costs between $15,000 and $25,000 before medication, according to commonly published ranges; a clinic that gives no reference point lets the AI answer with figures found elsewhere.
Why some clinics get named and others do not
AI assistants like ChatGPT build their answers from what is published and repeated consistently. The recurring factors:
- identical information everywhere: physicians' names, addresses, treatments, languages spoken, across the site, medical directories and the Google profile;
- factual, dated pages on treatments, costs and steps, rather than slogans;
- third-party mentions: local press, patient associations, professional directories;
- an honest explanation of outcomes: in the United States, success data is reported nationally through the CDC and SART; a clinic that points to these sources and explains them is more credible than one showing an isolated percentage;
- structured data describing the facility, physicians and services;
- freshness: a 2022 pricing page works against the clinic in 2026.
The regulatory constraint is heavy. Health advertising is regulated, no pregnancy can be promised and health data falls under HIPAA for covered entities. There is no single federal privacy law; rules vary by state. ADA Title III lawsuits over web accessibility are frequent, hence a WCAG 2.1 or 2.2 AA target. This is not legal advice.
What does this work cover, and what does it cost on the market?
In broad terms: a review of current answers, aligning public information, strengthening factual pages in English and Spanish, and regular monitoring. There is no fixed recipe; every clinic starts from a different place.
| Market service | Range (2026 ballpark) | Note |
|---|---|---|
| Initial audit of AI answers | $3,000 to $10,000 | Depends on number of questions and languages |
| Monthly monitoring and work | $2,000 to $7,000 a month | Emerging market, wide gaps |
| Medical content reviewed by a clinician | $300 to $900 per page | Medical review extra |
| Native Spanish version | +30 to +60% of budget | Essential in Miami |
| Quarterly record only | $1,000 to $3,000 | To measure without acting |
These amounts reflect typical agency quotes and public rate pages; the market is young and offers are hard to compare. At Kolonell, the diagnostic and monitoring are on quote.
How do you measure without fooling yourself?
Need a professional website?
Kolonell builds websites that attract clients, optimized for the Sénégalese market. Free quote in 2 minutes.
Measurement rests on a dated record: a fixed panel of 20 to 40 questions, in English and Spanish, asked on the same dates every month, with full answers archived. Three indicators come out of it: the share of answers naming the clinic, the accuracy of what is said (physicians, addresses, treatments, costs) and the sources cited. You then cross-check with consultation requests that name an AI assistant as the starting point.
Mini case study
Illustrative example: Biscayne Fertility Partners, a four-physician clinic in Brickell. The baseline record over 30 questions names it in 4 answers, so 4 / 30 = 13%, and two answers credit it with a treatment it does not offer. Planned budget: a $5,000 audit plus 6 months of monitoring at $2,000, so $12,000, for a total of $17,000. With an IVF cycle billed at $18,000 on average and a 30% margin, each cycle brings $5,400: 17,000 / 5,400 = 3.1, so about 4 attributable cycles to cover the spend. Fixing the two errors is already a measurable goal in itself.
FAQ
Can anyone guarantee ChatGPT will recommend our clinic?
No. Nobody controls an AI assistant's answers; you measure answer share across a panel of 20 to 40 questions and correct factual errors.
Should we publish our success rates?
Only by pointing to official CDC and SART data and explaining how to read it. An isolated “70% success” figure with no context is misleading and risky.
Is Spanish really necessary in Miami?
In most cases, yes: a large share of Miami-Dade patients are Spanish speakers. Allow 30 to 60% more budget for a native version.
How long before answers change?
Usually 3 to 6 months after public information is aligned. A record every 30 days is enough to follow the trend.
Is this different from SEO?
The two overlap: clear, well-indexed pages also feed AI answers. AEO adds the measurement of answers and work on third-party sources, from $2,000 a month on the market.
Find out how AI assistants describe your firm. A first dated record, in English and Spanish, will show what AI assistants say about your clinic today. 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.