A plastic surgery practice in the Southwest watched its Google Analytics numbers through the second half of 2025. Informational traffic was down 22% year over year. "How does rhinoplasty work." "What is recovery like after a facelift." "Rhinoplasty before and after results." All down.
The practice owner assumed the business was failing.
Then they looked at consultation volume. Up 11%.
When they mapped the search terms that were actually generating form submissions and calls, the pattern was clear: "best rhinoplasty surgeon Phoenix," "top plastic surgeon near me," "rhinoplasty consultation [city]." Those searches were up. The searches that were just curiosity traffic were going down. The searches that sent patients to fill out a form were growing.
That is what ai search patient acquisition actually looks like right now. It is not a collapse. It is a migration. AI search is changing where in the funnel Google captures the patient. Not eliminating Google from the patient journey.
How AI Search Changes Healthcare Patient Acquisition: What's Actually Shifting
The informational layer of healthcare search has moved substantially into AI platforms. Patients who want to understand what a procedure involves, what recovery looks like, what the risks are, and how different treatment options compare are increasingly getting those answers from ChatGPT, Perplexity, or Google's own AI Overviews. They do not need to visit a practice's website to get that information anymore.
This is the traffic that practices are watching decline. And for most practices, it is the right traffic to lose.
Informational traffic was always difficult to convert. A patient who searched "how does rhinoplasty work" was rarely ready to book a consultation. They were curious. They were in early research mode. They might have been a competitor researching your content. Converting that traffic into a consultation required a sophisticated funnel with content that moved the patient from awareness through consideration, a lead magnet or email sequence to stay in front of them, and often multiple touchpoints over weeks or months before a contact was made.
Lower-funnel searches operate differently. "Best rhinoplasty surgeon in Phoenix" is a patient who has already educated themselves, already decided they want the procedure, and is now in active provider selection mode. The conversion rate on that traffic is dramatically higher. The cost of converting that patient is lower. The time from first contact to booked consultation is shorter.
When AI absorbs the informational searches and Google retains the provider selection searches, the net effect for many practices is a more efficient funnel, not a weaker one.
ChatGPT Perplexity Healthcare Marketing: The Traffic That Matters vs. the Traffic That Doesn't
The practices that panicked in 2024 and early 2025 wanted to immediately recapture their lost informational traffic. They asked agencies to optimize for AI Overviews, to get cited in ChatGPT answers to "how does rhinoplasty work," to appear in Perplexity responses about GLP-1 treatment.
That is the wrong target.
Getting cited in an AI Overview for "how does rhinoplasty work" does not make money. The patient reading that answer is not booking a consultation today. They are learning. They might come back in six months when they are ready to select a surgeon. They might never come back. The citation tells you nothing about whether that patient converts.
The chatgpt perplexity healthcare marketing opportunity that matters is completely different: getting cited when patients are asking AI which practices or surgeons to choose. "Who are the best rhinoplasty surgeons in Phoenix." "Top orthopedic surgeons near me for knee replacement." "Best plastic surgery practice in [city]." "Which GLP-1 clinic in [city] has the best results."
Those searches generate patient contacts. They are provider selection queries dressed as conversational AI prompts. A practice cited in the AI answer to "who are the best orthopedic surgeons in [city]" has the same advantage as a practice appearing in position one on Google for "orthopedic surgeon [city]." Possibly better, because the AI answer formats the recommendation with more context and implicit authority than a blue link.
The distinction that changes strategy: informational AI citation is a brand awareness play with uncertain ROI. Provider selection AI citation is a direct patient acquisition channel.
Invest the E-E-A-T work, the credential documentation, the case study library, and the review generation efforts on the signals that drive provider selection citations. That is where the revenue lives.
How AI Search Affects Medical Practices: Where the Real Opportunity Is
The practices that are growing despite the informational traffic decline share a common trait: they have strong organic brand presence and strong lower-funnel positioning. When Practice Growth Co looks at the data across practices in competitive markets, the pattern is consistent. Practices with well-optimized sites and strong reputations are not losing revenue despite ranking drops. Some are growing.
The reason is straightforward. AI search rewards the same fundamentals as strong SEO but weights certain signals more heavily.
Credential depth is weighted more heavily. A surgeon with fellowship training, board certification, named procedure specialization, and documented case volume who has all of that information explicitly stated on their website is more likely to be cited in AI provider selection answers than a surgeon with identical credentials who lists them on a PDF buried in a "Meet Our Team" page.
Review quality and specificity are weighted more heavily. Vague reviews ("Great doctor, very professional") provide little signal to an AI system evaluating authority. Detailed reviews that name the procedure, describe the outcome, and reference specific aspects of the patient experience are more useful to AI citation algorithms. Review generation strategies that encourage specific, detailed responses produce more AI-useful content than generic post-visit prompts.
Third-party validation is weighted more heavily. Journal publications, named professional associations, hospital affiliations, and media appearances all signal to AI systems that a provider has been evaluated and recognized by credible external sources. This is not new in SEO. It is more determinative in AI citation than it has ever been for traditional search ranking.
The practices that understand how ai search affects medical practices are not scrambling to optimize for AI. They are doing the fundamental authority work that makes them the correct answer when a patient asks an AI which provider to choose.
What Practices Need to Do Differently for AI Search Patient Acquisition
Most practices do not know how they are showing up in AI search. They run a Google Analytics report, see the traffic decline, and assume the practice is losing ground. Their agencies often are not telling them otherwise, either because they do not have an AI visibility audit process or because explaining the nuance takes longer than a monthly reporting slide allows.
The first step is visibility. Run the actual queries that a patient would ask an AI to find a provider in your specialty and market. "Who are the best [specialty] in [city]." "Top [specialty] near me." "Best [specialty] practice for [specific procedure]." Note which practices appear. Note what content is being cited. Note whether your practice is included, and if so, what information the AI is drawing from.
What you find will tell you what to fix.
If you are not appearing at all, the problem is usually one of two things: credential documentation is not explicit enough on your website for AI systems to evaluate your authority, or your review volume and specificity is too thin relative to the practices being cited.
If you are appearing but being described inaccurately or incompletely, the problem is content structure. AI systems are pulling from what is explicitly written on your site and from what external sources say about you. Thin or poorly structured content produces thin or inaccurate AI citations.
If you are appearing well, the work is compound retention. AI citation has a compounding effect: practices cited consistently across patient queries build entity recognition with AI systems. That recognition reinforces itself. The practices cited today will be harder to displace six months from now, because the AI has developed more confidence in them as authoritative sources.
For ai search patient acquisition, the investment priority is: (1) audit your current AI visibility on provider selection queries, (2) fix credential documentation and content structure where you are absent or inaccurately described, (3) build review generation systems that produce specific, detailed reviews at the rate your specialty requires, and (4) monitor AI visibility monthly, not just organic traffic.
Practice Growth Co builds the ai search optimization for healthcare practices framework around these four steps because they apply across specialties and market sizes. The details vary by specialty. The structure does not.
Why Strong Fundamentals Still Win in the AI Search Era
The practices that are most worried about AI search are usually the practices that built their digital presence around shortcuts. Content written for search engines rather than patients. Review counts boosted without a system for quality. Credential pages that technically exist but contain nothing that helps a patient or an AI system evaluate the surgeon's actual authority.
Those practices are losing ground. Not because of AI. Because AI has made the shortcuts less effective.
The practices winning in AI search are the ones that always had strong fundamentals: real authority documented explicitly, real outcomes with real data, real reviews from real patients describing real experiences, and content written to answer the questions patients actually ask.
What has changed is not what wins. It is how clearly the difference shows up. Traditional Google rankings could mask thin authority with good technical SEO. AI citation cannot be gamed with title tags and backlink schemes. The AI systems evaluating whether to recommend a practice to a patient are reading the actual content and cross-referencing it against external signals. Manufactured authority fails that evaluation. Real authority compounds.
The opportunity that Practice Growth Co is building into every specialty marketing plan right now is this: the window between "AI search is changing" and "everyone has figured out what to do about it" is still open. Practices that build genuine authority signals now, document them explicitly, and structure their content for AI citation will compound that advantage through 2026 and beyond. Practices that wait will face a more competitive landscape and a longer road to visibility.
Explore Practice Growth Co's AI Search Optimization Framework →
FAQ: AI Search and Healthcare Patient Acquisition
Is my practice actually losing patients because of AI search, or just losing traffic?
Probably losing traffic, not patients. The traffic declining is primarily informational traffic: patients researching procedures, understanding treatment options, reading about recovery. That traffic rarely converted to consultations directly. The searches that send patients to fill out forms and call your practice are provider selection searches, and those are holding or growing. Before assuming AI search is hurting your practice, check your consultation volume and lead-to-call data, not just your organic traffic numbers.
What searches should I focus on for AI search patient acquisition?
Focus on the queries that represent patients selecting a provider, not patients learning about a procedure. "Best [specialty] in [city]," "top [procedure] surgeon near me," "which [specialty] practice in [city] has the best results." Those are the AI citation moments that generate patient contacts. Getting cited in AI answers to "how does rhinoplasty work" is much less valuable than getting cited when a patient asks "who are the best rhinoplasty surgeons in Phoenix."
How do I know if my practice is showing up in AI search?
Run the queries manually. Open ChatGPT, Perplexity, and Google with AI Overviews enabled, and search the provider selection queries a patient in your market would use. See which practices are cited, what information is used to describe them, and whether your practice appears. This is not a sophisticated technical audit. It is a 30-minute exercise that tells you your current AI visibility on the queries that matter for patient acquisition.
Will AI search replace Google for healthcare patients?
Not in the near term, and possibly not at all in the way the most dramatic predictions suggest. What is happening is a functional division: AI platforms are handling informational questions, and Google is becoming more lower-funnel in healthcare. Brand name searches and specific provider selection searches on Google are growing as AI absorbs the earlier-funnel curiosity traffic. The patient journey still involves Google. It involves AI earlier in that journey than it used to.
Do practices with strong SEO have an advantage in AI search?
Yes, significantly. The signals that produce strong organic search rankings, clear credentials, third-party validation, quality reviews, structured content that directly answers patient questions, and named author attribution on all content, are the same signals AI systems evaluate when deciding which practices to cite. A practice with strong SEO fundamentals does not have to rebuild their digital presence for AI. They have to make sure those fundamentals are explicitly documented and accessible to AI crawlers, which is a different and lighter lift.
How is Practice Growth Co advising practices to respond to the AI search shift?
With an audit-first approach. Before recommending any specific content or technical changes, Practice Growth Co runs an AI visibility audit on the provider selection queries most relevant to the practice's specialty and market. That audit reveals where the practice stands, what the cited competitors are doing that the practice is not, and what the fastest path to visibility is. From there, the work is almost always credential documentation, review system improvement, and content restructuring, not building something new from scratch. More detail is in the ai search optimization for healthcare practices pillar post.
Ready to see how your practice shows up in AI search? Book a Strategy Call →
Mike Funkhouser is the founder of Practice Growth Co, a healthcare-focused patient acquisition agency specializing in Google Ads, Meta Ads, SEO, and AI search optimization for specialty medical practices. He has helped plastic surgery groups, orthopedic clinics, med spas, and specialty practices build scalable, measurable patient acquisition systems across the US.
Sources and Citations
- Google Search Central — How Search Works — Documentation on organic search behavior, AI Overviews, and content evaluation signals
- Perplexity AI — About — Platform description and citation methodology for AI-generated search responses
- OpenAI — ChatGPT — AI platform cited for healthcare provider selection query behavior
- Google — Search Generative Experience Documentation — AI Overview rollout and impact on search traffic patterns
- Practice Growth Co — AI Search Visibility Audit Data Across Specialty Healthcare Clients — Proprietary Practice Growth Co campaign and analytics data, 2025-2026