This post is for international patient departments, transplant programme managers and the marketing teams of Indian hospitals that treat patients from abroad. It looks at what happens when someone outside India asks an AI system, "What is the best hospital for liver transplant in India?", and how to find out whether your hospital is part of the answer.
Liver transplantation is a useful stress test for medical-tourism content. The query is high-intent and high-stakes. The patient or family is often in a hurry, the legal pathway for a foreign national is specific and strict, and the decision depends on trust that cannot be built by a generic "world-class care" page. AI answers tend to reward pages that deal with those specifics directly, and to skip pages that do not.
We do not publish test results here. We describe the test we use, what to record, how to interpret it and what to fix. Run it on your own hospital, on your own query set, and treat the output as your baseline, since answers vary by day, location and product.
What the query is really asking
"Best hospital for liver transplant in India" is a shorthand. Behind it, a family from Nairobi, Dhaka, Baghdad or Lagos is asking several things:
- Which centres do adult and paediatric liver transplants regularly, living-donor and deceased-donor?
- Is it legally possible for a foreign patient to have a transplant in India, and under what conditions?
- What documents are needed, and who processes them?
- What does the programme cost, what does it include and what happens after discharge?
- Who are the surgeons and how do I verify them?
- How do I stay in contact once I am home?
The legal question is the one that most hospital pages skip, and the one that most affects whether an answer can safely recommend any hospital. India's Ministry of Health issued an advisory in June 2024 on transplants for foreign citizens under the Transplantation of Human Organs and Tissues Act, 1994. As summarised in coverage of that advisory, it requires a medical visa, prior approval by the authorisation committee where either donor or recipient is a foreign national, and, for living donation, a near-relative relationship certified by the embassy. Check the current text on the NOTTO site before you publish anything on this topic, and have your transplant coordinator and legal team approve the wording.
How AI systems tend to build this answer
Without seeing results, we can describe the behaviour of the systems in general. A system answering this query typically assembles an overview from several kinds of source: a government or regulator page for the legal pathway, hospital pages for programme details, comparison or aggregator pages for the shortlist, forums or video for patient experience, and news for volume or milestones.
Two published studies are useful context. Peec AI's analysis of most-cited domains found that Reddit, YouTube, LinkedIn, Wikipedia and Forbes were among the most-cited sources across AI answers generally. An SE Ranking study of health AI Overviews found that YouTube was the most-cited source, at 4.43% of 465,823 citations, with government and academic domains together accounting for about 1.2%. That study covers the German market, so it is context rather than proof for an Indian transplant query.
What this suggests for a transplant programme is that your own domain is one of several places an answer can come from. You also need a presence where answers look: a clear YouTube channel with surgeons explaining the process, an accurate entry on the hospital's own profile pages, and third-party listings that match what your site says.
Step 1: Build the 30-query international set
A representative set avoids over-reading a single phrasing. Build 30 queries in three groups of ten.
Head and shortlist queries. "Best hospital for liver transplant in India", "top liver transplant centre India", "liver transplant hospital Delhi", "liver transplant Chennai for foreigners".
Process and legal queries. "Can foreigners get a liver transplant in India", "liver transplant India medical visa", "living donor liver transplant India documents", "liver transplant authorisation committee foreign patient".
Decision queries. "Liver transplant cost in India vs Egypt/Turkey", "living donor liver transplant success India", "how long to stay in India after liver transplant", "paediatric liver transplant India".
Add country-specific variants for your top three source markets: Nigeria, Bangladesh, Iraq, Kenya, Ethiopia, Uzbekistan, the Gulf, whichever apply to you. Where relevant, run the query in the language the patient would use, such as Arabic or French.
Step 2: Run and log
For each query, run it on the surfaces your audience uses. For most source markets this means Google (with AI Overviews and AI Mode where they appear) and at least one chat assistant. Use a clean browser, set the country as it would be for the patient, and record the date.
Log, per query and per surface:
- Whether an AI answer appeared.
- The hospitals named, in order.
- The sources cited, grouped by type: hospital site, government, aggregator, forum, video, news, other.
- The facts stated: numbers of transplants, costs, accreditation, legal conditions.
- Whether those facts are correct against your own records and the regulator's page.
- Whether your hospital appeared, was cited, was named without a citation or was absent.
The error log in item 5 matters as much as the visibility log. If an answer states that foreigners can receive a deceased-donor organ freely, or quotes an outdated price, you have found a content gap on your own site that a clear page could fill.




