What Top AI-Recommended Medical Practices Have in Common
When we scanned more than 200 physician practices across specialties and markets, one pattern emerged that overturned nearly every assumption we started with.
AI visibility doesn't correlate with practice size. It doesn't correlate with marketing budget. It doesn't correlate with Google ranking. It doesn't even correlate strongly with the number of years a physician has been in practice.
What it does correlate with — precisely and predictably — is a specific set of five structural factors that most practices haven't built yet.
Here's what we found.
The Data: What We Measured and How
We ran AI visibility scans across 200+ physician practices across eight specialties: cardiology, orthopedic surgery, dermatology, OB/GYN, endocrinology, gastroenterology, internal medicine, and neurology. Markets ranged from mid-size metros (300K–800K population) to large cities.
For each practice, we ran 12–18 specialty-relevant patient queries across ChatGPT, Claude, Gemini, and Perplexity — queries like "best [specialty] in [city] accepting new patients," "[specialty] who treats [condition] near me," and "[procedure] specialist in [city]."
We scored each practice on a 0–100 scale based on citation frequency, platform breadth, mention prominence, and competitive displacement (how often a competitor was mentioned instead).
Then we looked at what the top quartile — practices scoring 50 and above — had in common that the bottom quartile did not.
Five factors explained 87% of the variance.
Factor 1: Complete Healthgrades Profiles With Active Reviews
This was the single most predictive variable in our dataset.
Practices in the top quartile had Healthgrades profiles that were:
- Fully claimed and physician-verified
- Complete with all major conditions treated and procedures performed
- Showing 15 or more Healthgrades-specific reviews (not just total reviews)
- Updated within the last 6 months
- Including at least one professional photo
Practices in the bottom quartile were almost universally in one of these states: unclaimed profile, claimed but sparse (just name and specialty), or claimed with high Google review counts but near-zero Healthgrades-specific reviews.
The mechanism is simple: Healthgrades is the most-referenced medical directory across all four major AI platforms. When ChatGPT, Claude, Gemini, and Perplexity form physician recommendations, they're heavily weighted by presence and authority in sources they've determined to be reliable — and Healthgrades is near the top of that list for medical providers.
A physician with 200 Google reviews and 3 Healthgrades reviews looks authoritative to Google and thin to every AI platform.
What to do: Claim your Healthgrades profile if you haven't. Complete every field. Add a photo. Then create a review request process specifically for Healthgrades — most practice management systems can send multi-platform review links in post-visit follow-up emails. The goal is 20+ Healthgrades reviews within 90 days.
Factor 2: Condition-Specific Pages on the Practice Website
Patients don't just search for specialties. They search for their specific condition or procedure.
"Orthopedic surgeon for ACL reconstruction in Denver." "Endocrinologist who treats Graves' disease near me." "Cardiologist specializing in atrial fibrillation in Phoenix."
AI assistants need to be able to connect a physician's name to specific conditions and procedures in order to recommend them for these queries. When a physician's website has only a general "Cardiology" page without dedicated pages for the conditions they treat, AI platforms can't reliably recommend them for condition-specific queries — even if they're highly qualified.
Practices in our top quartile averaged 8.3 condition-specific pages. Practices in the bottom quartile averaged 1.2 (typically just a general specialty page).
The gap isn't explained by practice size. Multiple solo practitioners in our top quartile had built comprehensive condition content. Multiple large group practices in the bottom quartile had lean websites with no condition-specific pages.
What to do: Identify your 6–10 most common or most valuable conditions and procedures. For each one, build a dedicated page — 600 to 1000 words — that describes the condition, your diagnostic and treatment approach, what patients can expect, and your relevant training. Link these from your main specialty page. This content investment compounds over time.
Factor 3: Doximity Profile Completeness
Doximity is the physician professional network — roughly the LinkedIn of medicine. It also happens to be one of the highest-authority data sources that AI platforms use when verifying physician credentials and specialty data.
Top-quartile practices had complete Doximity profiles with:
- All board certifications listed
- All hospital affiliations current
- All procedural competencies listed
- Medical school, residency, and fellowship data complete
- An active profile (logged in within the last year)
Bottom-quartile practices either had no Doximity profile or had auto-generated stubs with minimal data.
The importance of Doximity isn't about patient-facing reviews — it's about credential verification. When AI assistants are forming a recommendation for a specific specialty, they cross-reference physician credential data to confirm that the physician they're recommending actually has the training to treat the condition being asked about. Doximity is a primary source for this verification.
An incomplete Doximity profile means AI platforms may lack confidence in your specialty credentials, leading them to recommend a competitor with better-documented qualifications even if your actual credentials are superior.
What to do: Log in to Doximity and complete your profile fully. List every board certification, all hospital affiliations, your full procedural competency list, and your complete training history. This is a one-time investment.
Factor 4: Correct Medical Schema on the Website
Schema markup is structured data embedded in your website that explicitly tells AI systems what you are, where you are, what you treat, and what procedures you perform.
The relevant schema types for physicians:
Physician— the primary type, confirming the website belongs to a physicianMedicalClinic— if you operate a practiceMedicalSpecialty— your primary and secondary specialtiesMedicalCondition— linked from condition-specific pagesMedicalProcedure— linked from procedure pages
In our analysis, 89% of the bottom-quartile practices had no medical-specific schema whatsoever — only generic LocalBusiness markup at best, or nothing at all.
Among top-quartile practices, 71% had Physician schema correctly implemented, and 43% had condition or procedure schema on their relevant pages.
Medical schema doesn't directly cause AI platforms to recommend you — it reduces ambiguity. When an AI system sees your website, correct schema markup means it can confidently identify your specialty, location, and what conditions you treat, rather than inferring those from text content alone. Confident identification leads to consistent recommendations.
What to do: Ask your web developer to implement Physician (or MedicalClinic) schema on your homepage, with your primary and secondary specialties. Add MedicalCondition and MedicalProcedure types to your condition and procedure pages. Any competent developer can implement this in a few hours.
Factor 5: Presence in Editorial Health Content
The highest-scoring practices in our dataset — those in the top 10% — shared one trait that the other top-quartile practices often lacked: mentions in editorial health content beyond directories.
This means:
- Named in a "top specialists" feature in a city magazine or regional publication
- Quoted as a specialist source in a health article by a local newspaper or health publication
- Contributing author to a hospital patient-education blog
- Listed in a condition-specific guide from a respected health organization
- Mentioned in a patient community or condition-specific forum in a verified professional capacity
These editorial citations carry disproportionate weight with AI models because they represent a different class of endorsement — not a patient review or a directory listing, but a deliberate editorial decision by a third party to associate your name with a specific specialty or condition.
The good news: this is more accessible than it sounds. Local publications regularly publish "best physicians" features and often accept submissions or nominations. Hospitals actively look for physicians to contribute educational content. Health organizations publish specialist directories. Each citation you earn accumulates and doesn't expire.
What to do: Make a list of every local publication, hospital blog, and health organization that publishes physician content. Reach out to any that do "top doctor" or "expert" features. Offer to contribute a column on a condition you treat. Being listed on your hospital's patient-facing physician finder with full specialty detail counts too.
The Compound Effect: Why This Adds Up Fast
The five factors above don't add up linearly — they compound.
A complete Healthgrades profile gives AI platforms one high-authority source. Complete Doximity data gives them credential verification. Condition-specific website pages give them specialty connection data. Medical schema reduces ambiguity. An editorial mention in a regional health publication gives them an independent third-party signal.
When all five are present, AI platforms have multiple independent, consistent signals pointing to the same conclusion: this physician treats these conditions at this location and is verified by multiple authoritative sources. That's the profile that results in confident, consistent recommendations.
The practices scoring 60+ in our dataset almost always had at least four of the five factors. The practices scoring below 20 rarely had more than one.
Where Most Practices Are Today — And Where to Start
The average AI visibility score in our dataset was 19 out of 100. Across all specialties, across large practices and solo practitioners, the majority of physicians have near-zero AI visibility — not because they've done something wrong, but because no one told them this was a problem to solve.
The opportunity is significant: most of your local competitors are in the same position. The first practice in a local market to build these five factors tends to hold a durable AI recommendation advantage — AI platforms are conservative about changing their recommendations once they've identified a reliable source.
Check your practice's AI visibility score at RankCommander — the free scan shows your score across all four platforms, identifies your specific gaps, and benchmarks you against other practices in your specialty.
Building these five factors is achievable in 60 to 90 days for most practices. The patients who would find you through AI search already exist in your market. The question is whether they'll find you or your competitor.
Run your free practice scan — no account required →
Frequently Asked Questions
Do bigger practices with larger marketing budgets always rank better in AI?
No — and this is one of the most important findings from our analysis. AI visibility correlates more strongly with content completeness and directory consistency than with practice size or marketing spend. Several solo practitioners in our dataset outscored large multi-physician groups because they had systematically built the right signals. Budget matters less than knowing which specific signals to build.
What's the single highest-leverage change a physician can make?
Based on our analysis, completing your Healthgrades profile and building a review presence there delivers the highest return per hour of effort. Practices with complete, actively reviewed Healthgrades profiles appear in AI responses at roughly 3x the rate of those with incomplete profiles. It's the single most consistently referenced medical source across all four AI platforms.
How do I know which AI platforms my patients are using?
ChatGPT has the largest share of AI healthcare searches, followed by Perplexity, Gemini, and Claude. Shares vary by patient demographic — younger patients skew toward ChatGPT and Perplexity. The safest approach is to optimize for all four major platforms simultaneously, which is what RankCommander's visibility score measures.
RankCommander scores physician practices 0–100 across ChatGPT, Claude, Gemini, and Perplexity. Free scan — no account required. Results in under 60 seconds.