Google's AI now answers a patient's health question before they reach your website. Ahrefs looked at 146 million search results pages. It found an AI Overview (the AI summary at the top) on 44.1% of medical searches. That is more than double the 20.5% rate across all searches. Local searches are the opposite, and only 7.9% get one. So Google answers "does dry needling help" itself, and sends "physio near me" straight to the map. Your clinic is missing at the exact moment the patient decides who to trust. You cannot edit that answer. You can only become the source worth quoting.

Key takeaways

  • Of all medical searches, 44.1% show an AI Overview. Across all searches the rate is 20.5% (Ahrefs, 146,122,391 SERPs).
  • Only 7.9% of local searches show one. Google answers the health question, then hands the booking search to the map.
  • A study of 50,807 health prompts checked where the AI got its facts. Most sources (65.55%) were commercial or uncertified pages. Government and academic sources made up about 1%.
  • You cannot edit an AI Overview. The same search can give a different answer twice in a row.
  • An AI answer you did not write does not count as your advertising. Once you screenshot it and post it, it does.
  • Section 133, the law behind the health ad rules, pushes you to write plainly, with specific facts people can check. That is the writing AI answers quote.

How often does Google's AI answer a health question?

It answers health questions far more often than anything else people search.

Ahrefs studied 146,122,391 search results pages and sorted them by topic. Medical searches showed an AI Overview 44.1% of the time. That is 5,924,866 AI answers across 13,430,263 medical searches. Across every search in the study, the rate was 20.5%.

Health is the topic where Google is most willing to answer for you. That is odd, because Google's own quality rules say health topics need extra care. But the data is clear.

Why is the gap between 44% and 8% the real problem?

Most news about AI Overviews stops at "clicks are down". The more useful number for you is the gap between those 2 bars.

Think about how a patient really moves. They start with a problem, and the provider comes later. "Why does my jaw click." "Does physio help sciatica." "Is a root canal painful." Once they trust a treatment, they search for someone nearby to do it.

I mapped that journey in detail in what patients actually Google before booking. Here is what AI search does to it.

Google now answers most of the first half of the journey on its own page. Nearly half of those medical questions get a summary at the top. The patient may never click through. The second half is the "near me" search, and AI barely touches it at 7.9%. That search still goes to the map and the local results.

So the patient's path splits in 2. You are still easy to find when they are ready to book. By then they have already decided on the treatment. You are much harder to find at the question stage, which is when they decide what to believe and who sounds credible.

That is a real loss for your clinic. Teaching patients is the main way a clinic that follows the rules can build trust. You are not allowed to win the booking with testimonials or promises. Education was your best tool, and AI just moved it.

What is Google's AI actually reading?

It reads a lot of pages you would not choose.

SE Ranking ran 50,807 health prompts through Google in December 2025 and logged 465,823 citations. A citation is a source the AI links to. Only 34.45% of them came from sources the study rated as trusted medical publishers. The other 65.55% were commercial sites, uncertified health portals and general blogs.

Academic and government sources together made up about 1%. Medical journals were 0.48%. National health bodies were under 0.4%. The most cited single site was YouTube, at 4.43% of all citations.

There is one catch you should know. That study ran in Germany, on German prompts. Treat it as a pointer, since nobody measured Australia. No one has published Australian data at that scale.

Even as a pointer, it changes how you should see your chances. Two thirds of the sources in health answers are commercial pages and general blogs. So your well-written clinic page is up against a cheap mass-made article about knee pain. You are not up against the Mayo Clinic for that spot. A real practitioner can win that fight.

Is the answer about your treatment even accurate?

Sometimes it is wrong, and nobody will tell you.

In January 2026, a Guardian investigation reported by Search Engine Journal tested a set of health searches. Clinicians and health charities reviewed the AI summaries. They flagged advice they called wrong or harmful for several conditions. Some of it could lead someone to put off care. Google disputed the findings. It said the vast majority of AI Overviews are factual and helpful.

The finding that matters most for your marketing is quieter. The investigation found that the same search, run again, gave different summaries from different sources.

Clinics keep missing this part. You do not hold an AI Overview the way you hold a ranking. Google makes it fresh each time. You might check on Monday and see a fair summary of your treatment. On Thursday you might see something different. You get no version to approve, and no complaint form that changes it.

Does AHPRA hold you responsible for what the AI says?

I get asked this more than anything else. The answer has a clear line through it.

The AHPRA advertising requirements cover ads for health services. AHPRA is the body behind the health ad rules. The rules apply to content you create, control or endorse. A Google AI Overview you did not write, cannot edit and did not pay for is not your advertising.

Your risk starts the moment you use it. Here is where clinics cross the line.

What the clinic doesIs it your advertising?
An AI Overview sums up your treatment area, kindly or not No. You did not create it or control it.
You screenshot a flattering AI answer and post it to Instagram Yes. You published it, so you own every claim in it.
You quote an AI answer on your service page to back up a treatment Yes. Also, an AI summary does not count as evidence for a health claim.
You used AI to draft your website copy Yes, all of it. Your duties stay the same, whoever typed it.
An AI answer repeats a patient review about your clinic No, until you repost it. Then it becomes a testimonial you have taken on.

That last row catches good clinics. Picture a five-star quote you never asked for, sitting on another website. That is fine. Paste the same quote onto your own homepage, and it becomes a testimonial in your advertising. Testimonials about clinical care are banned under section 133 of the National Law. Passing it through an AI summary does not make it clean.

Why are compliant clinics better placed to get cited?

Here is the part nobody says out loud. The rules feel like a handicap for your marketing. In AI search, they help you.

AI answer tools are built to pull out claims they can credit to a source. They prefer writing that is specific, plain, complete on its own and easy to check. They struggle with vague selling, because there is nothing in it to quote.

Now look at what section 133 bans. You cannot use testimonials, bragging words, promised results, claims you cannot back up, or offers without terms. Each of those tries to persuade without giving a single fact. "The best clinic in Melbourne" gives the AI nothing to work with. "Our initial physiotherapy assessment runs for 45 minutes, includes a movement screen, and is charged at a single set fee" gives it something to cite.

A clinic writing to the AHPRA standard has to be concrete. Concrete facts are what get quoted. I made the wider case for this in how to rank in AI search when you are a regulated brand. I explained how Google and AI answers differ in GEO versus SEO.

What should your clinic publish instead?

Stop trying to change the AI answer. Instead, become the page it has to read. You cannot edit the answer, so make yourself the best source for it. That is what AI search in healthcare comes down to.

  • Write a page per real question, as well as per service. Your service list answers "what do you offer". The AI is answering "does this help my problem". Those need different pages.
  • Answer in the first two sentences. Put the direct, factual answer at the top, before the background. AI tools pull from the top of a page.
  • Name the boring details. Share qualifications, years in practice, session length, what the visit involves, the cost and who a treatment may not suit. AI can quote details. It cannot quote adjectives.
  • Use question headings. Match the words a patient would type, then answer right underneath.
  • Keep your local details separate and correct. Only 7.9% of local searches get an AI answer. So your Google Business Profile, hours, address and location pages still do a lot of work. Fix them.
  • Add Article and FAQPage schema. Schema is hidden code that labels your page for search engines. It will not win you a citation by itself. It does make it clear who you are and who wrote the page.

Then check the page against the rules, because it has to work for both readers. My hub on SEO for healthcare covers the page structure in more depth.

One honest note on effort. This is slower than posting a service page and hoping. But it works twice, once for the patient reading and once for the AI quoting.

This is general information for clinics and their marketing teams. It is not legal advice. The AHPRA advertising guidelines and the National Law change from time to time. Check the current versions on the AHPRA website, and get formal advice for big decisions.