Healthcare has become the most AI Overview-saturated search category on the internet, more than double the average rate across other industries. If you run a clinic, hospital, medtech company, or digital health platform, this isn’t a future problem to plan for. It’s already reshaping how your patients find you today.
This article breaks down exactly what’s changed, which parts of healthcare search are affected most, where the real risks and opportunities sit, and what to actually do about it. This sits alongside our complete guide to healthcare SEO, which covers the full strategy beyond just the AI Overviews piece.
The Headline Number: 51% and Rising
AI Overviews now appear in 51% of all healthcare searches — based on an analysis of over 130,000 health-related queries — more than double the rate seen across other industries tracked in the same research. Two years ago, this simply wasn’t a factor in healthcare search at all.
For context, treatment and procedure-related queries specifically — the kind of searches driving people toward clinics, hospitals, and specific interventions — now show 100% AI Overview presence, up from just 45% in 2023. If someone searches for a treatment you offer, there’s a near-certainty Google is generating an AI summary before your website ever gets a click.
This matters for one simple reason: an AI Overview that fully answers a searcher’s question reduces the click-through rate to any individual website, including yours. But, and this is the part most healthcare businesses miss, it also creates a genuine opportunity to be the source that AI Overview cites, which carries its own visibility and trust value.
Traditional organic results now appear below the AI Overview.
Standard SERP
AI Overview SERP
Illustrative comparison — not an actual Google screenshot
Not All Healthcare Searches Are Equal
The 51% headline figure hides a much more useful, more actionable pattern underneath it: AI Overview coverage varies dramatically by clinical specialty.
Core clinical specialties with clear, well-documented diagnostic and treatment pathways see the highest coverage:
- Genetic/Genomic content: 97%
- Cardiology content: 96%
- Urology content: 96%
- Gastroenterology content: 94%
- Orthopedics content: 94%
- Neurology content: 89%
Sensitive, less clinically standardised topics see markedly less coverage:
- Mental Health/Behavioral content: 65%
- Eating Disorders content: 63%
This roughly 30-percentage-point gap isn’t random. It reflects Google’s own caution around topics where a single AI-generated answer is riskier to get wrong, more contested, or more likely to require genuinely individualised guidance rather than a generalised summary. Google has also stated it deliberately keeps certain sensitive topics — including mental health crises, eating disorders, and addiction — out of AI-generated summaries altogether in some contexts.
The practical implication: if you operate in a core clinical specialty (cardiology, orthopedics, gastroenterology and similar), assume near-total AI Overview coverage and plan your content and citation strategy accordingly. If you operate in mental health, behavioural health, or similarly sensitive areas, the traditional search results page remains comparatively more important — and traditional ranking factors still carry proportionally more weight.
The Accuracy Problem Nobody’s Talking About Enough
Here’s the part that should genuinely concern anyone running a healthcare business: AI-generated health answers have documented, real accuracy problems.
Independent analysis found that roughly two-thirds of AI Overview health citations come from sources without strong medical or evidence-based safeguards — with YouTube cited more often than hospitals, clinics, or professional health associations. A Guardian investigation separately found misleading guidance present in a meaningful share of medical AI Overview searches.
A real example: the liver blood test case
One case from that Guardian investigation is worth knowing in detail, because it shows exactly how this kind of error happens. When users searched “what is the normal range for liver blood tests,” Google’s AI Overview displayed standardised numerical ranges — without accounting for factors like age, sex, ethnicity, or nationality, all of which genuinely affect what counts as a normal result for a given individual.
The risk wasn’t abstract. Someone with a result outside the general population range but within their own normal range might read the AI-generated answer and wrongly conclude something was wrong. Someone whose result looked “normal” against the generic range, but wasn’t normal for their specific profile, could just as easily miss a real problem. Both are exactly the kind of outcome a qualified clinician, working from an individual’s actual history, is trained to avoid.
Google’s response is itself instructive: following the investigation, confirmed on 14 October 2025, Google removed AI Overviews from results for this and several related medical queries. This is a useful signal for healthcare businesses — it shows Google is willing to pull back AI-generated answers when genuine accuracy problems surface, which means the bar for what AI Overviews are trusted to answer directly is still actively moving, not fixed.
This isn’t a reason to panic. It’s a reason to act. If AI systems are demonstrably citing weaker sources more often than they should, the opportunity for a genuinely authoritative, well-sourced, clinically-reviewed healthcare website to become the preferred citation is real — Google and AI systems both have a stated interest in improving citation quality over time, and content that’s already structured to demonstrate genuine medical authority is best positioned to benefit as that improves.
Google itself now processes over one billion health-related questions a day, which is both the scale of the problem and the scale of the opportunity, depending on which side of the citation gap your content sits on.
The Overlooked Risk for Product and Brand Content
There’s a sharper, more specific risk worth knowing about if your healthcare business is product or brand-adjacent — OTC products, pharmaceutical brands, or named medical devices. If your healthcare business sits closer to pharma or OTC products specifically, my pharmaceutical SEO page covers this in more depth.
Research tracking sentiment in AI-generated healthcare answers found that OTC and pharma brand content carries meaningfully higher negative sentiment exposure in AI Overviews than institutional sources like hospital systems — reportedly around 58 times the rate seen for hospitals.
The likely explanation isn’t that AI is biased against these brands specifically. It’s that AI systems faithfully surface what’s actually written about named products in safety-relevant contexts — side effects, warnings, drug interactions, recalls — content that hospitals, by the nature of what’s written about them, simply generates less of. If your content includes named products or brands, this is a genuine reason to make sure your own safety and factual content is accurate, current, and clearly presented, since AI systems are demonstrably willing to surface criticism alongside your marketing.
Where Local Search Still Wins
Not everything is shifting toward AI-generated summaries. Local, provider-specific searches — “physiotherapist near me,” “dermatology clinic in [location]” — have moved back toward traditional search results rather than AI Overviews.
This makes sense: a hyper-local, transactional query with a specific right answer (which provider, where, when) doesn’t suit a generalised AI summary the way a broader informational query does. For clinics, practices, and any location-based healthcare business, this means traditional local SEO — Google Business Profile optimisation, local citations, reviews — remains a fully dependable, largely AI-Overview-resistant channel, even as the broader informational search landscape shifts underneath it.
What This Means for Your SEO Strategy
Pulling this together into practical action:
- If you’re in a core clinical specialty, assume near-universal AI Overview coverage and build content specifically designed to be cited: named clinical authorship, clear sourcing, structured data (MedicalOrganization, FAQ schema where compliant), and content that answers the specific question clearly and early. See how this played out for one healthcare provider we worked with.
- If you’re in a more sensitive specialty area, don’t neglect traditional ranking factors — this is where they still carry more relative weight, and where a well-optimised, trustworthy page can still win the click directly.
- Invest in local SEO without hesitation if you’re a location-based provider — this channel isn’t going anywhere in the near term, and it’s some of the highest-intent traffic available.
- If you have product or brand-named content, audit it for accuracy and currency specifically — this is the content most likely to be surfaced critically by AI systems, and the content most worth getting right first.
- Treat citation-worthiness as a genuine content objective, not just traditional ranking. Ask of every page: if an AI system were summarising this topic, would it have good reason to cite us specifically?
The liver blood test case is a useful reminder of what’s actually at stake here. This isn’t a story about search rankings or click-through rates first — it’s a story about a patient reading a number on a screen and deciding, based on that number, whether to worry or move on. SEO in healthcare has always carried more weight than SEO anywhere else. AI Overviews haven’t changed that; they’ve just made the margin for error smaller and the audience for any given answer larger.
The businesses that treat this moment as a reason to double down on genuine expertise, accuracy, and transparency — the qualities good healthcare content should have anyway — are the ones that will come out ahead, whether the click happens on Google directly or via an AI-generated citation. The alternative is letting a system that’s demonstrably still getting things wrong become the default voice for your speciality, by default, because nobody built anything better for it to cite instead.
Frequently Asked Questions
What are AI Overviews in healthcare?
AI Overviews in healthcare are Google’s AI-generated summaries answering health-related searches directly in the results page, without requiring a click to any individual website. They now appear in 51% of all healthcare searches — more than double the rate in any other industry — making healthcare AI search one of the fastest-evolving areas of SEO.
What percentage of healthcare searches show an AI Overview?
Approximately 51% of all healthcare searches now show an AI Overview, based on an analysis of over 130,000 health-related queries — more than double the average rate seen across other industries tracked in the same research.
Are all types of healthcare searches equally affected by AI Overviews?
No. Core clinical specialties with clear diagnostic pathways — cardiology, urology, gastroenterology, orthopedics — see AI Overview coverage in the mid-90s percent. More sensitive topics like mental health and eating disorders see meaningfully less, around 63–65%, reflecting Google’s greater caution in generating single AI-authored summaries for these areas.
What happened with the AI Overview liver blood test investigation?
A Guardian investigation found that when users searched “what is the normal range for liver blood tests,” Google’s AI Overview displayed standardised numerical ranges without accounting for age, sex, ethnicity, or nationality — factors that genuinely affect what counts as a normal result for a given individual. This meant some people could have misread their own results as normal when they weren’t, or vice versa. Following the investigation, confirmed on 14 October 2025, Google removed AI Overviews from this and several related medical queries, showing that AI Overview coverage in healthcare is still actively being adjusted as accuracy issues surface, not a fixed or finished system.
Is AI-generated health information accurate?
Not consistently. Independent analysis has found that a significant share of AI Overview health citations come from sources without strong medical or evidence-based safeguards, with platforms like YouTube cited more often than hospitals or clinics. This creates both a real risk (if your content isn’t the one being cited) and a genuine opportunity (to become the trusted source that is).
Does this mean local SEO for healthcare businesses is less important now?
No — the opposite, in some respects. Local, provider-specific searches have actually moved back toward traditional search results rather than AI Overviews, meaning local SEO remains one of the most dependable, AI-resistant channels available to location-based healthcare providers.
What should healthcare businesses do about AI Overviews right now?
Focus on demonstrable clinical authority (named authorship, clinical review, accurate sourcing), structured data that helps both search engines and AI systems understand your content, continued investment in local SEO if you’re location-based, and a specific audit of any product or brand-named content for accuracy, since this content type is more exposed to negative AI-generated sentiment than institutional content.
Want help understanding where your healthcare business stands in this shift? Get in touch — I specialise in exactly this.
