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Research 2026-11-01 Updated 2026-11-01 · 9 min read

ChatGPT Clinic Recommendations in Singapore in 2026: What 84 Patient Answers Show

ChatGPT clinic recommendations in Singapore, from 84 answers to 28 patient questions: clinic sites lead the sources, and few clinics recur on every asking.

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Quick answer

ChatGPT does recommend Singapore clinics by name: in Canlah AI’s test of 28 patient questions, each asked three times on October 31, 2026, 83 of 84 answers named at least one clinic, five in the median answer. Clinics’ own websites were the largest source behind those answers, at 250 of 555 cited links (45.0%), against 87 (15.7%) for government and regulator pages and one for Reddit.

The clinic sites ChatGPT cited differed from the rest in two ways: 59.6% of 89 carried clinic schema.org markup, against 38.7% of 1,103 Singapore clinic sites, and their median Google Maps review count was 220, against 93. They were not faster. The answers were also unstable: across the 28 questions, 300 clinic names came up over the three askings of each question, and 40 of them (13%) came up all three times.

Key findings

  • ChatGPT names clinics for almost every patient question: 83 of 84 answers named at least one Singapore clinic, and the median answer named five.
  • Clinic websites are the main source: 250 of 555 cited links (45.0%) went to clinics’ own sites, from 55.6% of 248 links in dental answers to 27.4% of 84 in GP answers; government and regulator pages took 15.7% and Reddit 0.2%.
  • Cited clinic sites are more often marked up as clinics: 59.6% of 89 cited sites carried clinic schema on the homepage, against 38.7% of 1,103 Singapore clinic sites; for dental sites it was 60.9% of 46 against 38.0% of 258.
  • Cited clinics have more Google reviews: the median Google Maps review count was 220 for the 100 cited clinic sites, against 93 for 1,222 clinic sites, and 344 against 110 for dental.
  • Speed did not set cited sites apart: their median mobile PageSpeed lab score was 54.5, against 59 for all clinic sites.
  • The same question gives a different list each time: across the 28 questions, 300 clinic names came up over three askings of each question, and 40 (13%) came up every time.

Where ChatGPT’s Singapore clinic recommendations come from

ChatGPT’s Singapore clinic recommendations draw most on the clinics’ own websites: 45.0% of the 555 links cited across 84 answers went to a clinic site in Canlah AI’s October 2026 data set of 1,287 clinic websites, and the true share is higher, because some cited clinics were not in that set.

Sources cited in ChatGPT answers to Singapore patient questions, October 31, 2026

Patient questions Answers Cited links Clinic websites Government and regulator pages
Dental 36 248 55.6% (138) 17.7% (44)
Medical aesthetic 21 140 46.4% (65) 15.0% (21)
GP 15 84 27.4% (23) 9.5% (8)
All 28 questions 84 555 45.0% (250) 15.7% (87)

Source: Canlah AI test of 28 patient questions, each asked three times in ChatGPT with web search and a Singapore location, October 31, 2026. “Clinic websites” counts only sites in Canlah AI’s October 20–22 check of 1,287 clinic sites, so it is a floor. The all-questions row also covers six physiotherapy, TCM and specialist answers.

Government and regulator pages appeared mostly as checks rather than recommendations: 27 of 36 dental answers cited at least one, such as the Singapore Dental Council, the Dental Specialists Accreditation Board’s register or MOH, and 17 of 21 aesthetic answers did. GP answers leaned more on public healthcare cluster pages and HealthHub, the government health portal, which sit in neither column. Commercial review and directory sites supplied six links in 555, and Reddit, which ChatGPT often reads for agency questions, supplied one.

A larger study of local businesses points the same way. BrightLocal reviewed 200,085 local searches in ChatGPT, Google’s AI Mode and AI Overviews for 1,342 business locations over 60 days, published September 16, 2026, without a separate healthcare figure: business websites were 93% of the domains cited and 42% of all citations, close to the 45.0% for clinic sites here, and ChatGPT named 4.1 businesses per answer on average, against a median of five clinics here.

The questions were written the way patients ask: by treatment (“best dentist for Invisalign in Singapore”), by area and opening hours (“GP clinic near Bishan that is open late at night”), by subsidy (“CHAS dental clinic near Woodlands”) and in Chinese (“新加坡种植牙推荐哪家诊所”). The full list is in the methodology below.

What the clinic websites ChatGPT cites have in common

The clinic websites ChatGPT cited in its Singapore answers stand out for two facts a machine can read: clinic schema.org markup on the homepage and a large Google Maps review count. They do not stand out for speed.

Clinic sites cited by ChatGPT against all Singapore clinic sites, by segment

Segment Group Sites Clinic schema on homepage Median Google Maps reviews Median mobile PageSpeed (lab)
Dental Cited by ChatGPT 51 60.9% of 46 344 55
Dental All clinic sites 291 38.0% of 258 110 61
Medical aesthetic Cited by ChatGPT 32 60.7% of 28 123 53.5
Medical aesthetic All clinic sites 229 42.7% of 199 98 59
GP Cited by ChatGPT 16 53.3% of 15 435.5 54.5
GP All clinic sites 170 33.8% of 148 127.5 59
All clinics Cited by ChatGPT 100 59.6% of 89 220 54.5
All clinics All clinic sites 1,222 38.7% of 1,103 93 59

Source: Canlah AI ChatGPT test, October 31, 2026, matched to Canlah AI’s check of Singapore clinic homepages, October 20–22, 2026. Sites that returned an error are excluded; schema is read on sites that loaded without a bot check. Review counts are those of the Maps listing that links to each site.

Schema.org markup is a short block of code that tells machines what a business is: a MedicalClinic or a Dentist, at a given address, with given hours and services. Sites ChatGPT cited were about one and a half times as likely to carry it as the average Singapore clinic site, in every segment. The markup does not make an answer cite a clinic by itself; it removes guesswork about who the clinic is and what it offers. Most cited clinic pages were inner pages rather than home pages, 200 of 250 (80%), led by treatment and service pages (105) and doctor or team pages (41).

Review counts were higher for cited clinics in every segment, from about 1.3 times the median for aesthetic clinics to more than three times for dental and GP clinics, which fits an answer that leans on how established a clinic is. Large groups with many branches pull the figure up, and the link is an association, not a cause. Under the Singapore Dental Council’s ethical code a dentist may not ask or induce patients to write positive reviews, and MOH’s rules bar clinics from reproducing testimonials, so the part a clinic controls is the accuracy of its own site and Maps listing, not the reviews. The rules are set out in how to check a clinic website against Singapore advertising rules.

Mobile speed did not separate the two groups: cited sites had a median lab score of 54.5, below the 59 of all clinic sites. A slow site still costs patients, but it was not what decided which clinics an answer named.

How stable ChatGPT’s clinic recommendations are

ChatGPT’s clinic recommendations change from one asking to the next: across 28 questions asked three times each, 300 clinic names came up, counted once per question, and 40 of them (13%) came up all three times.

A clinic owner who asks ChatGPT once whether it recommends their clinic is therefore looking at one draw from a shifting list. A median answer named five clinics, so a clinic can appear in one answer and drop out of the next without anything on its site changing. A fair reading of a clinic’s position takes the same set of questions, asked several times, re-tested on a schedule, and counted as a share of answers rather than as a yes or no.

The pattern matches a larger study outside Singapore. SparkToro and Gumshoe.ai had 600 volunteers run 12 recommendation prompts 60 to 100 times each in ChatGPT, Claude and Google’s AI, 2,961 responses in November and December 2025, and found less than a 1 in 100 chance that ChatGPT or Google’s AI returns the same list twice. Their advice is to track how often a brand appears across many runs, not its position in a list. In their data a cancer hospital appeared in 69 of 71 ChatGPT answers but came first in 25.

BrightLocal saw the same in local search: when the same prompt was run again in ChatGPT, the result sets overlapped by 23% on average.

What ChatGPT’s clinic recommendations mean for a Singapore clinic

For a Singapore clinic, ChatGPT’s clinic recommendations point to the clinic’s own website as the place ChatGPT checks before it names a clinic, so the order of work is: an own site linked from the Maps listing, pages that state the facts, markup that labels them, and a measurement that counts repeated answers.

What a Singapore clinic can act on, from the October 2026 data

Step What to do What the data shows
1 Link the Google Maps listing to a working own website 45.0% of links in ChatGPT’s clinic answers went to clinic sites; 21.0% of 3,145 Singapore clinic listings link to no own site
2 Write treatment, doctor and price pages in plain, factual terms 200 of 250 cited clinic pages (80%) were inner pages, led by treatment and doctor pages; MOH’s rules require factual content
3 Add clinic schema.org markup 59.6% of cited sites carry it, against 38.7% of all clinic sites
4 Keep the Maps listing’s name, address, hours and categories accurate Cited clinics had a median of 220 Google reviews, against 93; the listing is the record answers read
5 Measure with repeated questions, not a single check 13% of clinics named in one asking of a question were named in all three

Source: Canlah AI ChatGPT test, October 31, 2026, and Canlah AI’s check of Singapore clinic listings and homepages, October 20–22, 2026.

Site basics such as a missing site, missing markup or a missing meta description are counted segment by segment in Singapore clinic website benchmarks in 2026, and the method for clinics is in how to use GEO to get a Singapore clinic recommended by ChatGPT.

Where Canlah AI fits for clinic visibility in AI answers

Canlah AI is a Singapore-based SEO + GEO agency that measures how often AI answers name a business and works to raise it, in English and Chinese. For clinics, it is most relevant when the question is whether ChatGPT and Google’s AI answers name the clinic for the treatments it offers, and how often.

Its GEO service is priced per AI platform: Starter from $1,500 a month covers ChatGPT on four buyer questions, Growth from $3,000 a month adds Google AI Overviews on eight, and Full is customised and adds Google AI Mode and Gemini on 16 (pricing). Each buyer question is asked 5–10 real ways and re-tested monthly against the starting baseline, which is how the instability above is handled. The written bar is “AI names you at least 30% more often than at your starting baseline, re-tested every month on the same buyer questions,” with no ranking guarantee. What the work covers for a clinic, within MOH’s advertising rules, is on the clinic SEO page, with a dental SEO page for dental clinics.

Frequently asked questions

Does ChatGPT recommend specific clinics in Singapore?

Yes. In Canlah AI’s test of 28 Singapore patient questions, each asked three times on October 31, 2026, 83 of 84 ChatGPT answers named at least one clinic and the median answer named five. Clinics’ own websites were the largest source behind the answers, at 45.0% of 555 cited links.

How does ChatGPT choose which clinics to recommend?

ChatGPT searches the web and builds its answer from what it finds, mostly clinics’ own websites, plus government and regulator pages it uses as checks. In Canlah AI’s October 2026 test, the clinic sites it cited were more often marked up as clinics in schema.org (59.6% of 89, against 38.7% of 1,103 clinic sites) and had more Google reviews (median 220, against 93). Those are associations, not rules ChatGPT publishes.

Why does ChatGPT give a different list of clinics each time?

Each answer runs a fresh web search and picks a handful of clinics from what it finds, so the list shifts between askings. In Canlah AI’s test, only 40 of 300 clinic names that came up across three askings of the same questions (13%) came up every time, which is why one check says little about a clinic’s position.

Methodology and limitations

The 28 questions covered dental (10), medical aesthetic (6), GP (5), physiotherapy, TCM and specialist care (4) and Chinese-language dental and aesthetic questions (3), written as a patient would ask, mostly with a treatment or a Singapore area. Each was asked three times through OpenAI’s API with the gpt-5.5 model, the web search tool and an approximate Singapore location, on October 31, 2026, giving 84 answers. Cited links are the links the answer text attributes; the pages ChatGPT read but did not cite are not counted.

Clinic names were extracted from each answer by a language model and checked by hand on a sample; the site comparison does not depend on that step, because it matches the cited links’ host names to Canlah AI’s October 20–22, 2026 check of Singapore clinic homepages. That check, its 3,145 private-clinic Google Maps listings and its 1,287 own sites follow the rules in Singapore clinic website benchmarks in 2026: beauty spas, public institutions and unclassified listings are out of scope, each site counts once, schema is read on sites that loaded without a bot check, and review counts belong to the Maps listing that links to the site.

The comparison is an association between cited sites and their features, not proof that a feature causes a citation; clinic groups with many branches carry both large review counts and well-built sites. One test date, one model and three askings per question are a snapshot; three askings is a small sample next to the 60 to 100 runs per prompt SparkToro recommends for stable appearance rates, so the 13% repeat rate describes the variability rather than any clinic’s exact standing, and answers for the same questions will differ on another day and in another AI assistant. No clinic or group is named.

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