When ChatGPT cites a clinic website, it usually links your homepage or a page about one service in one place. It mostly skips your blog. I sorted 661 citations to Australian clinic websites from 162 AI answers. On ChatGPT, homepages took 45%. Service and location pages took 36%. Blog posts took 2%. On clinic sites that run a blog, posts are 23% of the pages but drew 3.5% of the citations. Here is what gets quoted, and what you should build first.
Which clinic pages does ChatGPT actually cite?
Mostly your homepage. After that, it picks pages about one service or one place.
I asked ChatGPT, Claude and Perplexity the kind of question your patients type. "Can you recommend a podiatrist in Hobart for heel pain?" "Where should I go for a skin cancer check in Cairns?" I asked 18 questions across 18 Australian suburbs and towns, and got 162 answers in total. Then I took every link a reader could see in each answer and sorted it.
In all, 883 links came back. Of those, 661 (75%) went to a clinic's own website. The rest went to directories and public health pages. My earlier post on which AI engines name Australian clinics looked at who gets named. This post goes one level down. It asks which page on your site gets the link.
Here are ChatGPT's 227 citations to clinic websites, sorted by the kind of page.
The pattern held when I asked new questions. In the September set, homepages took 44% of ChatGPT's clinic citations. In the October set, about 12 new places, they took 48%.
Does ChatGPT stop at the homepage?
No. It nearly always looks deeper into your site too.
Of the 162 answers, 159 linked to at least one clinic page. In 148 of those 159, the engine linked to an inner page. Only 11 answers used homepages alone. ChatGPT went past the homepage in 58 of its 64 answers that cited a clinic.
So your homepage is the front door, and it does get used. But the engines also pick a second page to back up a point. "This clinic treats heel pain" gets a link to the heel pain page. "This clinic takes new patients" gets a link to the new patients page or the fees page.
Small pages count too. One GP clinic's PDF practice booklet was cited 12 times in September, by all 3 engines. Contact and fees pages got cited as well, because they answer the practical side of your patient's question.
Some sites never got past the front door. I could read the page list for 113 cited clinic sites. Of those, 26 were only ever cited by their homepage.
What do the cited inner pages have in common?
They put the suburb in the title, and often the patient's problem too.
I read the title, the main heading and the web address of every cited inner page. Across all 3 engines, that was 417 citations. Of these, 81% named the suburb, town or city from the question. Just under half (49%) named the patient's problem or need, such as heel pain, wisdom teeth or a new patient. Another way to see it: 42% named both, and only 12% named neither.
ChatGPT was the same. It named the place in 77% of its inner-page citations, and the place and the problem together in 35%.
Homepages followed the same rule. Of the cited homepages, 84% had the place in the page title.
That is the side that got cited. To see the side that got skipped, I read the full page list (the XML sitemap) of each cited clinic site. Here are the 75 sites with 500 pages or fewer, so a few big chains do not skew the count.
Pages with the place or the problem in their web address are a small slice of what clinics publish. Yet they are close to half of what the engines cited. Every question named a place, so part of this is the question pulling its own words through. That is exactly the point. Your patient's question has a place and a problem in it, and the engine looks for the page that matches both.
Why does the clinic blog get skipped?
A blog post rarely answers "who should I see, and where". That is the question your patient is asking.
Of the cited clinic sites, 83 run a blog or news section. On those sites, posts made up 5,118 of 22,388 pages (23%). Yet they drew only 16 of 462 citations (3.5%). On a typical site in that group, posts were 38% of the pages.
You can see it even more clearly on smaller sites. On the 73 blogging sites with 500 pages or fewer, posts were 3,413 of 8,064 pages (42%). They drew 11 of 396 citations.
The blog posts that did get cited were not general advice. The clinics had filed 13 cited pages as blog posts. Of those, 3 read like service pages, with a problem and a place in the title. Of the other 10, 7 were about one need, such as children's therapy or dental anxiety. The last 3 were news posts.
Your blog still has value. Patients read it, and it can rank on Google for its own questions. My post on what patients Google before booking covers those searches. But maybe you want to be the page an AI engine links when a patient asks for a clinic. If so, your blog is the wrong place to start.
Do Claude and Perplexity pick the same pages?
Mostly, yes. The order changes a little from engine to engine.
| Kind of page | ChatGPT (227) | Claude (146) | Perplexity (288) |
|---|---|---|---|
| Homepage. | 45% | 36% | 31% |
| One service or condition. | 19% | 30% | 29% |
| One location. | 17% | 23% | 26% |
| Contact, fees, booking, booklet. | 11% | 4% | 6% |
| Practitioner or team. | 6% | 6% | 5% |
| Blog or news post. | 2% | 0% | 4% |
ChatGPT leans hardest on your homepage. Claude and Perplexity lean more on service and location pages. None of the 3 leaned on the blog. Claude did not cite a single blog post in 42 answers.
Which engine names which clinic is a separate question, and the answer changes from run to run. My test of that, how to measure AI citations, found one check missed a cited clinic 37% of the time. So treat any single answer you see as a sample, never a verdict.
Which pages should a clinic build first?
Build the pages that match your patient's question first. That means one service, one place, and the practical details.
Here is the order I would build them in. You can use the example titles as they stand, once the facts are true for your practice.
| Page | Example title | Why it gets cited |
|---|---|---|
| A homepage that says what and where. | "Podiatry clinic in Hobart, open six days." | Of the cited homepages, 84% had the place in the title. |
| One page per main service. | "Heel pain assessment and treatment in Hobart." | It matches the problem and the place in one line. |
| One page per location. | "Physiotherapy in Brunswick: address, hours and parking." | Location pages took 22% of all clinic citations. |
| A fees and new patient page. | "Fees and booking for new patients in Glenelg." | Practical pages answer the "can I get in" part. |
| A profile for each practitioner. | "Name, physiotherapist, Brunswick." | Profiles drew 35 citations across the 3 engines. State the profession plainly. |
Keep each page about one thing. Put the service and the suburb in your title, your main heading and your web address. Then write the page so it answers your patients' real questions in plain words. My guide to how AI search picks its answers covers the writing side. For the Google map side, see local SEO for doctors.
The data also showed 2 simple fixes. First, keep your web addresses stable. One location page was cited 11 times in the September answers. When I fetched it on 1 October, it showed a 404 error. If you move a page, redirect the old address to the new one. Second, list your pages in your sitemap. On sites with a readable sitemap, 33 of 211 cited pages were missing from it.
Would you like this checked on your own site? The All Clear Audit asks the AI engines real patient questions about your clinic. It shows you what they cite, and it includes the rewrites. If you just need the pages, see the SEO fix.
Can a page built for AI search break the advertising rules?
Yes. A page that AI search likes is still an ad for your clinic, so the same rules apply.
The good news is that cited pages did not need hype. Only 3 of the 253 cited clinic pages had "best" or "top" in the title. The engines matched the problem and the place, and they did not need the boast.
That matters, because those words carry legal risk for you as a registered practitioner. Ahpra's advertising guidelines list advertising that "makes claims about providing a superior regulated health service" as likely to be misleading. In plain words, you cannot say you are better than other clinics. The same guidelines say that "Only a registered health practitioner who holds specialist registration in a recognised specialty or an endorsement may use the relevant specialist title".
So write your title as a fact. "Heel pain assessment in Hobart" is a fact. "Hobart's leading heel pain clinic" is a claim. The fact is also the title that matches your patient's question.
The same goes for what you say about AI itself. Do not advertise that ChatGPT recommends you. An AI answer changes from run to run, and a line like that reads like a testimonial. My measurement post covers why.
How did I measure this, and what can it not tell you?
The method is short. I saved every answer and page list, so you can check it.
Answers. Set one: 6 patient questions (physiotherapy in Brunswick, an emergency dentist in Parramatta, a psychologist in Fortitude Valley, a skin check in Fremantle, a GP in Glenelg, a podiatrist in Hobart), each asked 5 times plus 2 rewordings, to ChatGPT, Claude and Perplexity on 25 September 2026. That is 126 answers, first used for the AI citation test. Set two: 12 new questions in 12 new places, asked on 1 October 2026, twice to ChatGPT and once to Perplexity. That is 36 answers. ChatGPT means OpenAI's gpt-5-mini model with its own web search, called through the API, with the same short instruction to answer as it would for a member of the public. Claude means Claude Sonnet 4.5 with web search. Perplexity means its Sonar model. A link counted only if a reader could see it in the answer.
Pages. 661 citations went to 253 pages on 144 clinic websites. I sorted every page by hand, using its title, main heading and web address. On 1 October I read the XML sitemap of each cited clinic site. 113 sites had a readable one, listing 25,255 pages once tag and category lists were left out. Sitemap pages were sorted by rule, from the web address and the sitemap the page sat in, so "blog post" there means a page the site files as a post. No clinic or practitioner is named here.
Now the limits.
- This is 162 answers over 2 days. Answers change from run to run.
- API answers are close to what you see in the ChatGPT app, but not identical. The app may also use your location and history.
- Every question named a place. A question with no place, such as "what helps heel pain", would pull different pages.
- Of the 144 cited sites, 31 had no readable sitemap. So the skipped side covers 113 sites.
- This shows which pages were cited. It does not prove why. A clinic with good service pages may also have other strengths.
- This is general information about websites and advertising rules. It is not legal advice about your practice.
Prefer the short version? The findings are in an eight-slide web story. If you would rather talk it through, book a call.
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