How Google’s AI Decides Which Healthcare Practices to Recommend
- AI Overviews now answer conversational patient questions (“is my back pain serious,” “should I see a dermatologist for a rash”) at the top of search results — and name three specific practices in the answer.
- Six signals decide which practices get cited: GBP completeness, review content (not just star rating), information consistency across Healthgrades/Vitals/Zocdoc/insurance directories, website content that answers patient questions, clinical credentials, and ongoing activity.
- Insurance and service consistency is the single move with the biggest payoff most practices haven’t made. Mismatches between GBP, website, and insurance directory listings filter your practice out of “find a [specialty] who takes [insurance]” searches even when you accept the plan.
It’s 9 PM on a Tuesday. A mom in your zip code is on her phone in the kitchen. Her seven-year-old has a rash that started this afternoon. She types “should I take my kid to the dermatologist for a rash” into Google. The first thing she sees isn’t a list of dermatologists. It’s an AI-generated answer telling her what to look for, when to call a doctor, and naming three practices in her area she could call tomorrow. Your practice is in her zip code. Your practice is not in those three names.
Google’s AI Overviews, the AI-generated summaries that now appear at the top of many search results, are answering patient questions before patients ever click on a practice’s website. For healthcare searches, those answers pull from a specific set of signals. Your Google Business Profile. Your patient reviews. Your information consistency across the web. Your insurance and service listings. The trust signals Google can verify about your clinical credentials.
The practices winning citations in those AI answers aren’t doing anything secretive. They’re doing the same things that have always built local visibility, in a way that feeds the AI the inputs it needs. The practices that haven’t adjusted are watching their visibility quietly drop as more searches resolve in the AI answer without anyone clicking through at all.
What is an AI Overview and how often is one showing up for patient searches?
An AI Overview is the AI-generated summary that appears at the top of a Google search result, above the regular links. It pulls from multiple sources, synthesizes an answer, and often names specific practices in the patient’s area.
For healthcare, AI Overviews now show up on the majority of symptom-based queries, condition-based queries, and “should I see a doctor for” queries. They show up less often on direct category searches like “dermatologist near me” or branded searches by practice name.
The queries that trigger them are the conversational ones. “Is my back pain serious.” “What does a dermatologist treat.” “Do I need a referral to see a chiropractor.” These are the questions patients are typing into their phones at night before they fall asleep, on their lunch break, in the carpool line. A few years ago they would have typed “doctor near me” and scrolled through a list. Now they’re asking the question they’d ask a friend, and Google’s AI is answering it before they ever look at a list.
For your practice, this is the new front page of search. If you’re not in the AI Overview, you’re not in the patient’s first impression of the answer.
How does Google’s AI decide which practices to recommend in an Overview?
The AI pulls from sources Google considers authoritative. For healthcare, that authority bar is higher than for most industries because of medical content guidelines. More verification, more weight on credentials, more reliance on third-party signals.
Six signals do most of the work.
The first is Google Business Profile completeness. Services listed by name. Hours accurate, including seasonal changes. Insurance information current. Primary and secondary categories selected correctly. Attributes filled in (telehealth, new patients accepted, wheelchair accessible, languages spoken). The practices winning AI citations have a complete GBP. The ones that aren’t winning citations almost always have a half-finished one.
The second is review content and recency. Star rating is table stakes. What moves the needle is what the reviews actually say. A practice whose recent reviews mention “thorough exam,” “explained the diagnosis,” “didn’t feel rushed” gets recommended for searches about thorough care. A practice whose recent reviews say “in and out fast, friendly staff” gets recommended for searches about convenience.
The third is information consistency across the web. NAP (name, address, phone) consistency across Google, Healthgrades, Vitals, Zocdoc, your website, and the insurance directories. Mismatches signal that the practice information might be unreliable, and AI Overviews avoid recommending unreliable sources.
The fourth is content on your website that answers patient questions. FAQ pages, condition pages, service descriptions written in plain patient language. The AI uses this content to verify what your practice actually treats.
The fifth is credential signals. Board certifications, state license, malpractice insurance, hospital affiliations. These don’t show up to patients directly, but they’re what tells Google your practice meets the bar for clinical recommendations in a YMYL (Your Money or Your Life) category.
The sixth is activity signals. Google Posts, recent photos, responses to reviews, connected social profiles. A practice with no activity in the last six months looks closed to the AI even if the schedule is full.
What patient reviews actually feed AI Overview citations?
Star rating gets you in the door. Review content decides whether you get recommended for a specific search.
The AI reads review text for clinical specificity. A pediatric dermatology practice with reviews mentioning “eczema,” “patient with sensitive skin,” “explained the treatment plan to my daughter” surfaces for pediatric-skin searches in a way a practice with generic “great experience” reviews won’t. The first set tells the AI what the practice is actually good at. The second set tells the AI nothing.
Recency matters more than volume. A practice with 60 reviews from the last 12 months outranks a practice with 200 reviews where the most recent is 14 months old. The AI weights freshness as a proxy for current quality.
Review responses matter too, in a specific way for healthcare. Templated responses (“Thanks for your review!”) don’t add signal. Thoughtful, HIPAA-aware responses that acknowledge the patient’s experience without revealing any clinical detail do. Google’s AI can tell the difference between a generic auto-response and a real practice voice.
The HIPAA piece is non-negotiable. Never name a patient. Never describe a clinical detail they didn’t describe first in their review. Never reveal anything about their care, diagnosis, or treatment. A response that thanks them for trusting your practice and acknowledges the feedback is the right tone. The AI doesn’t need you to over-share to surface your practice. It needs you to be responsive and consistent.
For specialty practices, reviews mentioning the specific service or treatment you provide are gold. A med spa with reviews that mention “Botox,” “filler,” “laser hair removal” feeds the AI a clear picture. A physical therapy clinic with reviews that mention “ACL recovery,” “post-surgical PT,” “shoulder mobility” surfaces for those searches.
How much does your insurance and service information actually matter for AI Overviews?
A lot. For healthcare specifically, insurance accuracy is the single move with the biggest payoff most practices haven’t made.
The patient query Google’s AI sees constantly: “find a [specialty] who takes [insurance plan] in [city].” Practices whose GBP, website, and insurance directory listings all agree on which plans they accept get recommended. Practices whose information conflicts get filtered out, even if they accept the plan.
Service information runs the same pattern. A dermatology practice that lists “general dermatology” on its website but lists “general dermatology, cosmetic dermatology, Mohs surgery, pediatric dermatology” on its GBP has a mismatch the AI notices. It won’t confidently recommend that practice for a Mohs surgery search if the website doesn’t back it up.
For practices that have recently added a service or stopped accepting a plan, this is where visibility quietly bleeds. The AI reads your old and new information simultaneously, gets conflicting signals, and probably doesn’t recommend you for either. Update everywhere, or hold the change until you can.
The Tuesday morning admin block fix: an hour walking through your GBP services, your website service pages, your Healthgrades and Zocdoc profiles, and your top three insurance plan directory listings. Make them agree. This single move helps more than any other tactic in this post.
What kind of website content does the AI actually read for healthcare practices?
The AI reads structured patient-facing content. Three formats feed AI Overviews best.
FAQ pages written in plain patient language. “What does a chiropractor treat?” “How long does a physical therapy session take?” “Do I need a referral to see a dermatologist?” These map directly to the conversational questions patients are typing. If your site has them, the AI can pull from them.
Condition or service pages that explain what the practice treats in patient-friendly language. Not the clinical version. Not the marketing version. The “if my mom asked me what this is” version. A dermatology page on eczema that explains what eczema looks like, when to see a doctor about it, and what treatment options exist will get cited by an AI Overview answering an eczema question. A page that just says “we treat skin conditions including eczema” won’t.
Doctor or provider bios that include credentials, training, board certifications, and what they treat. Patients want to know who they’re seeing before they call. The AI uses bio content to surface specific providers for specific searches. A patient looking for a chiropractor experienced with pregnancy-related back pain will get an AI answer naming the chiropractor whose bio mentions that specialty.
What doesn’t feed AI Overviews well: long marketing copy about “compassionate care,” dense clinical content written for other doctors, and stock photo-driven service pages that don’t describe what actually happens during a visit.
The practical move: audit three pages on your site. The FAQ for new patients. One service or condition page per major service. The provider bios. If you don’t have an FAQ, drafting one does more for your AI Overview visibility than any other content addition you can make this quarter.
How do you know if your practice is even showing up in AI Overviews right now?
This is the most useful 20 minutes you’ll spend on marketing this week. The check is manual. The only tools you need are a phone and a clean browser.
Open an incognito or private browsing window. This is non-optional. Your normal browser carries your search history, which biases the results Google shows you. Incognito gives you the cold-start view of what a new patient sees.
Search the conversational queries a patient would actually type for your specialty. A dermatology practice might search “should I see a dermatologist for a mole that changed” or “[insurance plan] dermatologist [your city].” A chiropractor might search “is back pain after sitting all day serious” or “chiropractor near me that takes new patients.” A physical therapist might search “do I need a referral for physical therapy” or “best physical therapist for [specific injury] in [your city].” A primary care practice might search “find a family doctor accepting new patients in [city].” Pick five to ten queries that match the questions your patients actually ask.
Look at the AI Overview at the top of each result. Is your practice named? Is your practice cited as a source? Are any of your direct competitors named?
Note the gap. If your competitors are showing up and you aren’t, the gap is almost always in one of the six signals from earlier. GBP completeness. Review content. Information consistency. Website content. Credential signals. Activity.
Document what you find. A short list of “practices showing up in AI Overviews for the searches that matter to us” is the input that drives every fix in the rest of the post. Without that list, you’re guessing at what to fix. With it, you know exactly which competitors Google’s AI is recommending instead of you.
A 5-hour plan to make your practice more likely to show up in AI Overviews
Spread across two admin blocks. A Tuesday morning and a Friday afternoon for most practice managers.
Hour 1 — GBP audit and update. Confirm primary and secondary categories on your Google Business Profile. Add any missing services. Update insurance information if it’s changed since the profile was last touched. Add attributes (new patients accepted, telehealth available, wheelchair accessible, languages spoken). Confirm hours, including any seasonal changes.
Hour 2 — Insurance and service consistency across listings. Open your Healthgrades, Vitals, Zocdoc, and top insurance directory listings side by side with your GBP and website. Fix any mismatches. This is the most valuable hour in the plan. The mismatches that have been quietly killing your AI Overview citations probably live here.
Hour 3 — Review response audit. Look at the last 20 reviews. How many got a response? Were the responses thoughtful, HIPAA-aware, and warm? Or were they templated? Update the review response approach going forward. Short. Warm. HIPAA-aware. No patient details. The goal is responses that sound like a real practice voice, because that’s what the AI rewards.
Hour 4 — Website content audit. Open your FAQ page (or note that you don’t have one). Open your service or condition pages. Open the provider bios. Identify the top three gaps. If you don’t have an FAQ, drafting one is the best move. If your service pages read like marketing brochures, rewriting one in patient-friendly language is the next best.
Hour 5 — Google Posts and activity. Schedule four Google Posts for the next month. One per week. Topics: a current service offering, a seasonal patient health reminder, a practice update (new provider, new equipment, expanded hours), and a community involvement post. Google Posts are free, almost no practices use them consistently, and they signal “active practice” to the AI as well as to patients reading the GBP.
Two admin blocks. Five hours. The work compounds for the rest of the year.
What if you don’t have 5 hours this week to do this?
The honest answer for most practices: you don’t, and the reason isn’t that the work is hard.
The signals that feed AI Overviews live in eight different places that don’t talk to each other. GBP. Website. Healthgrades. Vitals. Zocdoc. Insurance directories. Social profiles. Review platforms. The practice manager who runs marketing is also managing the schedule, the insurance billing, and the doctor’s lunch. Five hours of focused work across eight platforms doesn’t fit into a normal week, even when the practice manager knows exactly what needs to happen.
This is where Surefire Local fits. The platform connects the eight places. One dashboard pushes updates to GBP, Healthgrades, Vitals, Zocdoc, and the major insurance directories simultaneously. Review requests go out automatically after appointments. Response templates that are HIPAA-aware so the practice manager isn’t writing every response from scratch. Google Posts schedule a month ahead. The practice manager runs the system in 30 minutes a week instead of trying to find five hours when she remembers to.
The pitch isn’t “we’ll do your marketing for you.” The pitch is that we run the system that gives the AI the right inputs about your practice, so when a patient asks Google a question at 9 PM on a Tuesday, your practice is in the answer.
If that sounds like the system you’ve been trying to bolt together with spreadsheets, sticky notes, and the practice manager’s calendar, request a demo. Thirty minutes is enough to see whether it fits.
It’s still 9 PM on a Tuesday in your zip code. The mom in the kitchen is still looking for an answer. The three practices Google’s AI is going to name in the next search like hers are already decided. The only question is whether your practice is one of them.
