The verdict in three sentences
A couple's first conversation with a fertility clinic in Doha increasingly happens without the clinic: the question is asked privately, often late at night, to AI assistants like ChatGPT. If the answer does not mention your clinic, or describes it wrongly (treatments, waiting times, doctors' languages), you lose a first appointment you would never know you missed. It is managed with a dated record of the answers, on health topics where accuracy matters more than visibility.
What do patients actually ask?
Fertility is a subject many prefer to explore alone before speaking to a doctor. The questions are therefore very concrete, in Arabic as well as English:
| Stage of the journey | Typical question asked to an AI | Information the clinic should make public |
|---|---|---|
| First doubts | "After how many months without pregnancy should we see a specialist in Doha?" | Guidance page, referring doctors |
| Choosing a centre | "Which IVF clinics in Doha have a female doctor?" | Team, languages spoken, practitioner gender where wanted |
| Budget | "How much does an IVF cycle cost in Qatar in 2026?" | Cost ranges, what is included |
| Insurance | "Does my insurance cover IVF in Qatar?" | Insurers accepted, process |
| Preservation | "Where can I freeze my eggs in Doha and up to what age?" | Programmes offered within the local legal framework |
| Outcomes | "Which fertility clinic has the best results in Doha?" | Data published with method, or a clear stance on not publishing |
| Foreign patients | "Can an expat woman have fertility treatment in Doha?" | Access conditions, documents |
| Waiting times | "How long is the wait for a first IVF consultation?" | Dated indicative waiting times |
The "best results" question is the trickiest: without published, verifiable data, an AI may repeat rough figures found elsewhere. A clinic is better off publishing what it can prove, with its method, or explaining clearly why it does not publish rates.
Why one clinic is cited and another is missing
AI assistants like ChatGPT do not "choose" a clinic: they summarise what public sources say consistently. What makes the difference, in Doha as elsewhere:
- Identical information on the website, the facility's listing, medical directories and review platforms where they are permitted.
- Factual treatment pages (process, duration, indicative costs, contraindications), in Arabic and English, aligned with each other.
- Third-party mentions: health press, doctors speaking at conferences, genuine hospital partnerships.
- A team presented with verifiable qualifications.
- Dated, updated content.
Health communication in Qatar is overseen by the health authorities, treatment programmes must stay within the local legal framework, and personal data falls under Law No. 13 of 2016, with the QFC running its own rules. No content should imply that pregnancy is assured. This is not legal advice.
What the work covers and what it costs
In broad terms: a review of what AI assistants currently answer about your clinic and your competitors, alignment of public information, factual medical content reviewed by your practitioners, third-party mention work, then regular tracking. The market is young and prices vary widely depending on whether the provider covers medical writing.
| Service | 2026 ballpark (USD) | Suited to |
|---|---|---|
| Initial answer diagnosis (Arabic and English) | 3,000 to 10,000 | Any clinic wanting to know where it stands |
| Monthly support, regional healthcare agency | 2,500 to 8,000 / month | Clinic with an in-house marketing team |
| Arabic and English medical writing reviewed by a doctor | 300 to 900 / page | Treatment pages and patient FAQs |
| Health press relations | 3,000 to 9,000 / month | Building third-party mentions |
| Quarterly tracking only | 800 to 2,500 / quarter | Clinic that is already well documented |
2026 ballpark, based on typical quotes from agencies in the region. At Kolonell, this work is priced on quote after a diagnosis.
Which indicators should you track?
Three measures are enough to decide, as long as they are recorded on the same dates for the same questions:
- Presence: the share of answers that mention your clinic, across 25 to 40 questions.
- Accuracy: the number of errors found (a treatment you do not offer, a former doctor, a wrong cost). On a health topic, an error weighs more than an absence.
- Competition: which clinics are cited instead of you, and on which topics.
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Answers vary from week to week; read trends over 6 to 12 months. Nobody can promise that an AI assistant will recommend your clinic.
Mini case study
Illustrative example. "West Bay Fertility Clinic" (a fictional name) has 32 questions recorded in Arabic and English. The clinic appears in 5 answers out of 32, about 16%, and 3 answers credit it with a programme it does not offer.
It commissions a $6,000 diagnosis and $4,000 a month of support for 6 months: 6,000 + 24,000 = $30,000. Prudent assumption: a full IVF journey brings the clinic average revenue of $9,000. It therefore needs about 4 additional journeys over the year (30,000 / 9,000 = 3.3) to cover the spend. That is a break-even threshold, not a promise of results.
FAQ
Do AI assistants give success rates for Doha clinics?
Sometimes, by repeating figures found online that are not always accurate. Publishing verifiable data, with method and period, reduces that risk.
Do we need pages in Arabic?
Yes: a large share of Qatari patients' questions are asked in Arabic. Budget $300 to $900 per page of medical writing reviewed by a doctor (2026 ballpark).
Do patient reviews count?
They are among the possible sources, where they are permitted and genuine. Never request reviews in exchange for a benefit.
How long before a visible change?
Often 3 to 6 months after pages are updated and new mentions are earned. You need at least 2 records to draw conclusions.
Does this replace SEO?
No, it complements it: 10 well-built treatment pages serve both at once.
Find out how AI assistants describe your firm. We record what AI assistants say about your clinic, your treatments and your competitors, in Arabic and English. 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.