AI Search for Medical Tourism: How Clinics Get Found in ChatGPT, Claude, Gemini, Perplexity and others

Patients ask AI before they ask you

“Which hospitals in Istanbul do knee replacements for UK patients?” A prospective patient might ask that question before visiting a hospital website. Their next questions could concern the surgeon, language support, the assessment process and who coordinates follow-up after they return home.

This behaviour deserves attention. On 7 January 2026, OpenAI reported that more than 230 million people globally ask ChatGPT health and wellness questions each week. That includes many activities beyond choosing a provider.

In rater8’s 2026 Patient Choice Report, 47% of the 992 respondents answering its AI-use question said they had used AI tools to research healthcare providers. The survey was conducted among US adults in April 2026. It is a US patient survey, not a measure of medical tourism demand.

For an international patient team, the practical question is whether someone researching the clinic can find specific, current information they can check. Improving that information helps patients make sense of the service, whether they arrive through an AI answer, a search result or a referral.

What AI search means today

In this article, AI search means an answer that uses information retrieved from the web and may link to its sources. That distinction matters: a conversational answer without current sources is not evidence that a tool has checked your clinic’s latest information.

Start with the access rules below. These platform documents were checked on 8 October 2026. Access makes a page available for consideration; it does not secure a mention.

A clinic owner does not need to manage these settings personally. Ask the website team to document which public pages each crawler can reach and which restrictions are intentional. The useful deliverable is a short access report with fixes and an owner for each, rather than a collection of unfamiliar bot names.

Keep the scope on public information. Patient portals, medical records and private forms belong behind appropriate access controls. Making a service page discoverable should never mean making patient information public.

How AI answers choose their sources

Google describes query fan-out: AI features may run several related searches while building an answer. A broad patient question can therefore lead to research across different topics and pages. Google does not publish a formula that lets a clinic purchase or engineer a particular citation.

Consider the Istanbul hospital question. The underlying information needs include location, the relevant department, the treating clinician and support for someone travelling from the UK. A generic homepage claiming international experience leaves most of those questions unanswered.

Build an evidence trail instead. The department page should describe the service. The doctor profile should establish who provides it. Registration and accreditation claims should link to the relevant issuing organisation where verification is available. Information about language support should describe the support actually offered.

Third-party information also deserves attention. Professional registers, accreditation records, reviews and press coverage give patients other places to check a claim. If using directories, assess who maintains them and how corrections are handled; Altay operates directory portals and has a commercial interest in this area.

No provider can control every source an AI tool retrieves or how it combines them. The editorial aim is to reduce ambiguity and make the clinic’s own account easy to verify. A mention remains uncertain, even after careful work.

There is also no need to start with an exotic technical file. Google’s guidance, checked on 8 October 2026, says its AI features require neither special AI text files nor special schema. An llms.txt file is not a prerequisite for Google AI visibility.

Seven things your clinic can do this month

1. Let the appropriate crawlers reach public pages

Ask your developer to check robots.txt, page-level indexing instructions, the content delivery network and the website firewall. A public page can look normal in a browser while automated access receives a block or challenge.

OpenAI’s crawler documentation, checked on 8 October 2026, separates OAI-SearchBot for search from GPTBot for model training. Their settings are independent: you can allow search crawling while declining training crawling. Document that choice explicitly.

For firewall exceptions, verify crawler identity against the platform’s published guidance and IP information. Ask for a test of actual access after the change, not simply confirmation that a setting was edited.

2. Answer real patient questions on service pages

Choose one priority service and review the questions your coordinators answer repeatedly. Explain the assessment process, who provides the service, language support, the stages of a visit and how aftercare is organised.

Have qualified clinicians review clinical content, including suitability and any discussion of recovery or travel. Explain what requires an individual assessment instead of publishing a universal timetable. Describe who responds to practical questions before that assessment takes place.

Keep essential information in readable page text, even when a brochure is available. Link service pages to relevant doctor and contact pages. Altay’s five website improvements article offers a useful starting point for reviewing the patient journey.

3. Make doctors and credentials checkable

Use real clinician names, accurate roles and current profiles. Include registration details where appropriate, with a verification link where the register provides one. Explain the organisation behind an accreditation and exactly which facility or service it covers.

Add a dated medical review line only when that review genuinely happened. Name the reviewer and connect the line to their profile. A date alone does not establish accountability.

Assign someone to remove obsolete team profiles and expired claims. If a doctor works at several locations, make the connection between the person, department and treatment site explicit.

4. Keep the basic facts consistent everywhere

Create a master record of the clinic’s name, address, phone number, website, departments and current clinicians. Include agreed spellings in each publishing language and distinguish the legal entity from any public-facing brand.

Compare that record with the website, Google Business Profile and accreditation records. When reviewing directory listings, include an ownership check: Altay operates directory portals, so our advice on directory presence comes with that commercial connection.

For a multi-site group, check every location separately. An old phone number or a service assigned to the wrong branch is a practical patient problem, regardless of whether an AI tool repeats it.

5. Build credible third-party evidence

Start with sources that have a reason to hold accurate information: the relevant professional register, accreditation body or professional association. Check whether an existing record needs correction before seeking more exposure.

For directories, look for transparent ownership, clear listing criteria and an accessible correction process. Altay operates directory portals; our Directory Presence service should be considered with that relationship in view. A paid listing is not independent proof of clinical quality or a promise of AI inclusion.

Approach trade coverage with a specific, verifiable story. Avoid paying to distribute the same promotional paragraph across many sites simply to manufacture apparent corroboration.

6. Use structured data that matches the page

Structured data labels information for machines. It should describe the organisation, clinicians or article that visitors can actually see, using appropriate types and accurate values.

Google’s structured data guidelines, checked on 8 October 2026, require markup to represent visible content accurately. Do not add credentials, ratings or services in the markup that the page does not substantiate.

Have the developer check what your theme and SEO plugin already generate before adding another layer. Correct conflicting organisation names and addresses first. Markup is a way to describe evidence; it does not create evidence.

7. Measure useful signals together

Google’s current guidance includes AI Overviews and AI Mode activity in Search Console’s Web search reporting. That makes the report useful, but it does not provide a clean, separate measure of each AI feature.

Track identifiable AI referrals in analytics and add “How did you first hear about us?” to the inquiry process. Keep that question optional and simple. Some people will remember the tool but arrive later through another route.

Run a small monthly prompt set in priority languages. Record the date, tool, question, cited pages and factual errors. Treat the results as observations, not a stable ranking report.

What to avoid

Be cautious when an agency sells a fixed position in an AI answer. Ask what it will actually deliver: page improvements, technical access checks, source corrections or paid advertising. These are different services and should have different evidence of completion.

A screenshot showing one favourable answer says little about repeated visibility. Ask whether the prompt named the clinic, which sources appeared and whether the result was reproduced. A branded question and an open-ended provider search test different things.

Avoid publishing hundreds of near-identical pages for every procedure and departure city. Start with the services and markets your team can support. Each page should contain information that helps its intended reader take a sensible next step.

Do not publish unsupported claims in the hope that another site or tool will repeat them. Give the editorial team access to the people who can verify the facts, and remove claims that cannot be supported.

Finally, review access after security changes and website migrations. Keep a record of deliberate crawler restrictions so a future developer does not accidentally reverse them. Discovery work is easier to maintain when the marketing and technical teams share the same record.

Different markets need different checks

Use your priority markets to design the review. A translated page should answer the practical questions of the audience it serves: which language the coordinator speaks, which documents are requested and how an initial conversation is arranged across time zones.

Ask a fluent reviewer to assess the page and the test prompts. Literal translations can miss how people describe a service or what they need to know before contacting an overseas provider.

For each monthly test, record the language and the country context available in the tool. Check factual accuracy as well as whether the clinic appears. Where an answer includes an old address or an incorrect clinician affiliation, investigate the linked source before rewriting the entire website.

A small, repeatable review in two commercially important markets is more useful than a long report covering languages the clinic cannot support. Expand when the team can maintain the information and respond to inquiries.

Where to start

Choose one service, one market and one accountable owner. Review its public information, identify missing evidence and agree a manageable set of corrections. Keep a record of the original pages and review the changes after they have been published and discovered.

Altay’s Healthcare SEO & Content service helps teams organise this work. If you are unsure where to begin, ask about the International Patient Readiness Review. Where the website itself needs attention, explore our Healthcare Websites service and practical guides. Altay does not promise mentions, citations or rankings in AI tools.