When Practice Growth Co asks a new client whether they know how their practice shows up in AI search results, most say some version of the same thing: they had not thought to check.
They know about Google. They track their Google rankings. They watch their organic traffic in Google Analytics. But ChatGPT, Perplexity, Google AI Overview: nobody told them those were channels to audit, and their current agency has not brought it up.
The audit takes about twenty minutes. What it reveals is almost always surprising: some practices appear prominently and consistently, some appear occasionally in generic lists, and some do not appear at all. The difference between those outcomes is not random, and it is not primarily about doing something new. It is almost entirely about how well the practice has built the credibility signals that have always mattered for search.
Here is how to run the audit, what to look for, and what the results tell you about your AI search presence.
Why Your ChatGPT and AI Search Presence Matters for Patient Acquisition
Patients are using AI platforms to get answers to healthcare questions at a scale that was not possible two years ago. According to Perplexity's published data, healthcare consistently ranks among its highest-volume query categories. ChatGPT processes hundreds of millions of queries daily, with health and medical questions representing a significant share.
When a patient asks "who are the best orthopedic surgeons in [city]" or "what plastic surgeon should I see for a facelift in [city]," that question is landing in AI systems with increasing frequency, not just Google. The answer those systems generate shapes the patient's consideration set before they ever open a Google search or visit a practice website.
Practices that appear in those AI-generated answers are in the consideration set. Practices that do not appear are not, and they are not invisible because their quality is lower. They are invisible because their credibility signals are not readable by AI systems that evaluate sources before citing them.
The practical consequence: two practices with similar quality of care, similar procedure outcomes, and similar pricing may have dramatically different AI search visibility based entirely on which one has more Google reviews, more complete directory profiles, and better structured content on their website.
That gap is closeable. But closing it starts with knowing it exists.
How to Audit Your Practice's AI Search Visibility
Run each of the searches below in ChatGPT (GPT-4 or later), Perplexity, and Google (to trigger AI Overview). Document what appears for each. The searches are designed to cover the different ways patients look for providers: general specialty, specific procedure, and direct name searches.
Search Set 1: Local Specialty Searches
Run these in your city or primary service area:
- "Best [your specialty] in [city]"
- "Top [your specialty] doctors in [city]"
- "[Your specialty] near [city]"
- "Who should I see for [primary procedure] in [city]"
What to document: Does your practice appear? By name? Do specific physicians appear by name? Do competitors appear by name? Do directories appear (Healthgrades, Zocdoc, US News Health), and if so, does your practice appear within those directory references?
Search Set 2: Procedure-Specific Searches
Run these for your top two or three procedures:
- "Best [procedure] surgeon in [city]"
- "Where to get [procedure] in [city]"
- "[Procedure] specialist near [city]"
What to document: Same as above, but also note whether the AI response recommends specific physicians by name or primarily lists practices. Named physician recommendations are a stronger signal of AI trust than generic practice listings.
Search Set 3: Informational Queries in Your Specialty
Run two or three questions patients commonly ask before choosing a provider in your specialty:
- "[Common patient question]" (e.g., "what should I look for in a plastic surgeon for rhinoplasty")
- "How to find a good [specialty] doctor"
- "Questions to ask a [specialty] before [procedure]"
What to document: Does your practice or a physician from your practice appear as a cited source? Is your content referenced? Are competitors' content or websites referenced?
Search Set 4: Direct Name Searches
- "[Your practice name]"
- "[Lead physician name] [specialty]"
- "[Lead physician name] [city]"
What to document: What information does the AI generate about your practice? Is it accurate? Are the physicians named correctly? Is the location correct? Any outdated or incorrect information?
What the Audit Results Mean and How to Interpret Them
You appear prominently and consistently
Your practice is being treated as a credible source by at least one major AI platform. This typically correlates with: high Google review volume (150+), complete and accurate directory profiles, named physicians with verifiable credentials, and structured content on your website. The priority is maintaining and expanding those signals, not changing them.
You appear occasionally or in generic lists
You are on the edge of AI citation. The systems know you exist but do not consistently evaluate you as a primary recommended source. This is the most common outcome for practices that have done reasonable SEO work but have not systematically built review volume, directory completeness, or structured physician content. The gap between occasional and consistent citation is usually addressable in 90-180 days with focused work on the signals described below.
You do not appear at all
Either your practice is invisible to AI systems (missing or incomplete directory profiles, very few reviews, no named physician content) or you are in a market where AI systems default entirely to directory aggregators rather than individual practices. Both are solvable. The first requires building foundational credibility signals. The second requires ensuring your practice is prominent within the directory platforms the AI is citing.
Competitors appear and you do not
This is the clearest signal that action is needed. Run the same audit for two or three competitors who do appear and compare their profiles against yours: review counts, directory completeness, physician credentials, content structure. The gap between their visibility and yours will almost always trace to one or two specific differences you can close.
| Audit outcome | What it usually means | Priority action |
|---|---|---|
| Appear prominently | Strong review volume + complete profiles + named physicians | Maintain and expand |
| Appear occasionally | Good SEO foundation, weak on reviews or directory completeness | Review velocity + directory audit |
| Do not appear at all | Missing directory profiles or very few reviews | Directory setup + review system |
| Competitors appear, you don't | Specific credibility gap vs. competitors | Run competitor gap analysis |
The Signals That Drive ChatGPT and AI Recommendations for Healthcare
Understanding what drives AI citation helps you focus the right effort in the right order. These are the signals that consistently correlate with healthcare practice visibility in AI search results, ordered by impact.
Google Review Volume and Recency
This is the single most actionable signal for most practices. AI systems evaluating local healthcare providers treat Google review volume as a primary trustworthiness indicator. A practice with 250 recent reviews is more likely to be recommended than a practice with 40 older reviews, regardless of website quality.
The goal is not just total count. Recency matters: a steady stream of new reviews (5-15 per month for a growing practice) signals active, ongoing patient care. Practices that generate 200 reviews in a burst and then stop accumulating new ones decline in perceived freshness over time.
Review response rate also factors in. Practices that respond to reviews (all reviews, including critical ones) demonstrate active management and accountability. AI systems that can observe this pattern weight it as a trustworthiness signal.
Directory Profile Completeness
Healthgrades, Zocdoc, WebMD, Vitals, and specialty-specific directories are primary data sources for AI systems generating local healthcare recommendations. Incomplete, inaccurate, or missing profiles on these platforms remove your practice from the information graph AI uses to identify providers.
Completeness means: accurate practice name and address, correct phone number, all physicians listed individually with their own profiles, procedure and specialty lists complete, photos present, and profile descriptions not left blank or defaulted to generic text.
Named Physicians with Verifiable Credentials
AI systems are designed to avoid recommending unverifiable sources for healthcare decisions. A practice with named, board-certified physicians whose credentials are verifiable (linked to ABMS board certification lookup, medical school affiliations, professional association member directories) passes a verification check that anonymous "our expert team" practices do not.
Every physician on your team should have an individual profile page on your website with: full name and credentials, board certification details and links, medical school and residency, fellowship training if applicable, specialty procedures, and a professional photo. This content should also be reflected consistently in their individual directory profiles.
Structured Answer Content on Your Website
AI systems pull answers from content that is formatted to answer questions directly. Pages that open with a clear statement of what they cover, then elaborate with structured sections and FAQ content, are significantly more citable than pages written as flowing marketing copy without clear structure.
For each major procedure or service your practice offers, the page should include: a direct answer to "what is this procedure," "who is a good candidate," "what does recovery look like," and "what should I look for in a provider." These answers do not need to be long. Two to four clear sentences per question is enough. What matters is that the structure is clear and the answer stands alone without context.
Schema Markup
Schema markup is code added to your website that helps search engines and AI systems understand what your practice is, who the physicians are, and what you do. For healthcare practices, the most valuable schema types are MedicalOrganization (practice name, address, phone, specialties), Physician (individual physician credentials and specialties), and FAQPage (for any page with structured Q&A content).
Schema is not a magic citation trigger, AI systems use many signals. But its absence removes information that AI parsers would otherwise use to evaluate and cite your practice.
FAQ: AI Search Visibility for Healthcare Practices
How do I check if my practice appears in ChatGPT?
Open ChatGPT and search "[your specialty] in [your city]" and variations of that query. Also search your practice name directly and your lead physician's name. Document what appears. There is no dashboard or analytics tool that tracks ChatGPT mentions, manual spot-checking is the only method currently available. Run these searches monthly to track whether your visibility changes as you improve your credibility signals.
Why does my competitor appear in AI search but I don't?
Almost always traceable to one of three gaps: they have significantly more Google reviews, their directory profiles are more complete, or they have named physicians with more structured credential content. Run the audit for their practice alongside yours and compare. The gap will be specific and addressable.
Can I pay to appear in ChatGPT or Perplexity recommendations?
No. AI search recommendations in ChatGPT, Perplexity, and Google AI Overview are not paid placements. They are generated based on what the AI system evaluates as credible and relevant. This is meaningfully different from Google Ads, where you can buy placement regardless of organic credibility. In AI search, credibility cannot be purchased, it must be built.
How long does it take to improve AI search visibility?
Depends on the gap. Improving Google review velocity takes 60-90 days to show meaningful change in volume. Completing directory profiles can be done in days. Building physician credential content takes 2-4 weeks of focused work. Schema markup implementation takes a few hours for a developer with the right tools. The signal that takes longest is review volume: if a competitor has 300 reviews and you have 40, closing that gap takes time and a consistent patient communication process.
Does my Google ranking affect my AI search visibility?
Yes, indirectly. AI systems that generate healthcare recommendations draw from the same signals that drive Google rankings: domain authority, content quality, review volume, directory presence, structured data. A practice with strong Google rankings has almost certainly built the signals that also drive AI citation. A practice with weak Google rankings has usually not built those signals. Improving AI search visibility and improving Google rankings are not separate strategies, they are the same foundational work applied consistently.
If your practice is not appearing where patients are asking questions, the gap is specific and measurable. Practice Growth Co audits AI search presence as part of our healthcare marketing reviews and builds the credibility signals that drive citation across both traditional and AI-powered search. Book a Strategy Call →
Sources & Citations
- Perplexity, Healthcare Query Category Data, published category volume data indicating healthcare as a top query category
- BrightEdge, AI Search Behavior by Industry Vertical, 2025 research on AI search query patterns in healthcare
- Healthgrades, Provider Profile Completeness and Patient Engagement, data on how profile completeness affects patient engagement
- Practice Growth Co, AI search presence audit findings across specialty practice clients, proprietary Practice Growth Co data, 2025-2026