When someone types "who treats sciatica near me" or asks Gemini "best podiatrist for ingrown toenails in your city," the AI Overview above the search results pulls from a practice's Google Business Profile, its review content, and the specific service pages on its website that match the patient's wording. A practice that names its conditions and treatments clearly, in the language patients actually search, is far more likely to be the one Google or Gemini names back. A practice whose site only says "comprehensive care" is far less likely to surface.
What appears above the links now
Google AI Overviews and Gemini responses now sit above the traditional blue-link results for many local health searches, answering the question directly instead of just listing websites. For a healthcare practice, this means a patient searching "urgent care for a sprained ankle open now" or "who treats plantar warts in your city" may get a named answer, with your practice either included or absent, before they ever scroll to a list of links.
This shift matters because the AI answer is often the only thing a patient reads. If a practice is not named in that summary, it may not get a click at all, regardless of how well its website is built or how strong its reputation is once a patient actually reaches it. The summary itself has become the first impression.
How Google AI Overviews assemble a local answer
Google AI Overviews build a local answer by pulling structured signals from a practice's Google Business Profile (categories, attributes, hours, services listed), combining them with review text that mentions specific conditions or treatments, and cross-checking that against the practice's website content, including service pages and any schema markup (structured code that tells search engines what a page is about, such as marking a page as describing "sports medicine" or "diabetic foot care"). The system favors practices where all three sources agree.
Disagreement between these sources creates a problem. If a Business Profile lists "podiatry" as the category but the website only talks about "foot health" in vague terms, and reviews mention "bunion surgery" and "custom orthotics" that never appear anywhere else, Google has a harder time confirming what the practice actually treats. A local AI Overview is more likely to name a competitor whose profile, reviews, and site content all describe the same conditions in matching language.
The connection between your Business Profile and AI answers
A Google Business Profile is the single most direct feed into local AI Overviews and Gemini's local answers, because it is structured data Google already trusts and updates in near real time. The service list, business description, category selection, and Q&A section on the profile are read almost literally when Google assembles an answer to a specific question like "does your practice treat ingrown toenails" or "is your practice taking new patients for physical therapy."
A profile that lists only a broad category such as "Medical Clinic" gives Google little to work with when a patient asks a specific question. A profile that also lists individual services, such as "wound care," "diabetic foot exams," "custom orthotic fitting," or "sports injury rehab," gives the AI Overview concrete phrases to match against a patient's search. The more precisely a profile names what the practice actually does, in the words patients use, the more often that profile becomes the source of the answer.
Why reviews and service pages feed the summary
Patient reviews and website service pages supply the descriptive detail that a Business Profile's structured fields cannot hold, and Google AI Overviews draw on both when a patient's question uses specific symptom or condition language. A review that says "finally got relief from my heel pain after months of trying everything else" tells Google something a bare star rating never could: that this practice treats plantar fasciitis and that patients describe real results.
Service pages do similar work, but only if they use the same words patients type into a search bar. A page titled "Our Services" with no further detail gives Google nothing to match against a query like "who treats hammertoe without surgery." A page titled "Non-surgical hammertoe treatment" that describes symptoms, the treatment approach, and who it helps gives the AI Overview a direct, quotable source. Reviews and service pages that consistently name the same conditions, in the same language, reinforce each other and make a practice a stronger candidate to be named in the summary.
Steps to appear in a local AI Overview
Appearing in a local AI Overview or a Gemini answer depends on aligning the practice's Google Business Profile, website service pages, and review content so they describe the same conditions and treatments in the same patient-facing language. Each piece reinforces the others; none of them works well alone.
Start with the Business Profile: list every specific service the practice offers, not just a broad category, and keep hours, attributes, and the business description current. Next, audit website service pages against the actual questions patients ask, replacing vague headings like "Our Services" with specific ones like "Ingrown toenail treatment" or "Diabetic foot care." Then look at review patterns: if patients consistently describe a condition or outcome in their own words, that phrasing belongs somewhere on the website and in how staff ask for reviews. Finally, check that schema markup on service pages matches what the Business Profile and reviews describe, so all three sources tell Google and Gemini the same story about what the practice treats and who it treats it for.
Fixing misalignment between a Business Profile, a website, and patient reviews does not happen on a single timeline for all three. Business Profile changes tend to surface in Google's local answers sooner than website changes do, since Google already treats the profile as current, structured data. Website changes, including rewritten service pages and added schema markup, take longer to be recrawled, indexed, and folded into an AI Overview, and that lag is usually the longest part of the process. Review-driven language changes fall in between: new reviews using specific condition and treatment terms add up gradually, and their effect on how a practice is described builds over time rather than appearing all at once. The order to expect is straightforward even without a fixed calendar: profile edits show movement first, review language shifts next, and website and schema changes are the slowest to reflect in what Gemini and AI Overviews say about the practice.