Over 230 million people ask ChatGPT health questions every week. Does your brand get recommended?
We help healthcare brands — hospitals, clinics, health tech companies, and specialist practices — become the provider that AI recommends when patients research options.
Trusted by global brands
The healthcare visibility challenge
Your patients changed how they research providers. Most healthcare brands haven’t caught up.
Problem 01
Patients Ask AI Before They Ask You.
Over 230 million people globally ask ChatGPT health and wellness questions every week, according to OpenAI. Over 40 million use it for health advice daily. When a patient asks AI “best dermatologist in [city]” they get a specific recommendation. If your practice isn’t in that answer, you’ve lost a patient you never knew existed.
Problem 02
Top Rank But No Recommendations.
You rank well on Google for your medical keywords. But ChatGPT recommends a competitor. AI models don’t mirror search rankings — they evaluate what independent third-party sources say about your practice. Without sufficient editorial coverage and consistent directory listings, traditional SEO won’t get you into AI answers.
Problem 03
Your Competitors Are Already Building AI Visibility.
According to research by Drip Hydration and Censuswide, 39% of Americans trust ChatGPT for navigating healthcare decisions. 31% use chatbots to prepare questions for doctor visits. Patients are already making provider choices based on what AI tells them. Only those who appear in the answers are capturing patients.
Problem 04
Your Expertise and Track Record Are Invisible to AI.
You have board certifications, years of experience, strong patient outcomes, and a stellar reputation among referring physicians. But if those credentials live only in your medical records and your website, AI has no evidence to work with and no reason to recommend you over the practice across town.
Enter Authority GEO
In healthcare, trust is everything. AI knows this.
Healthcare is the ultimate trust-dependent industry. Patients entrust providers with their health, their bodies, and often their lives. Traditionally, that trust was built through physician referrals, word-of-mouth, and institutional reputation.
But the discovery process has fundamentally shifted. OpenAI reports that health is one of the most common uses of ChatGPT, with over 230 million people asking health questions weekly. OpenAI has even launched ChatGPT Health — a dedicated platform for medical records and health data — signaling that AI-mediated healthcare discovery is accelerating, not slowing down.
AI models evaluate healthcare providers the same way a careful patient would: by checking what independent, authoritative sources say. Your website is a claim. AI needs corroboration from trusted third parties — review platforms, medical directories, editorial coverage, and institutional rankings — before it will confidently recommend your practice.
AI doesn't guess.
It verifies.
The authority signals AI checks before recommending a healthcare provider.
Most healthcare companies have some of these. Almost none have all of them structured for AI extraction.
Editorial coverage in the publications your users trust.
Your practice needs to appear in health-focused publications, regional business media, and “best doctors” or “top hospitals” roundups. AI models heavily reference medical media and authoritative health sources when making provider recommendations. A feature in a respected health publication or inclusion in a local “best of” list creates the independent evidence AI needs.
Content structured for how AI processes SaaS queries.
When a patient asks AI for provider recommendations, the model works through stages: discover options, compare them, validate credentials, and choose. Most healthcare brands have no content addressing comparison or validation — no condition-specific landing pages, no treatment guides, no provider comparison content that AI can extract and cite.
Consistent entity signals across every platform.
AI cross-references your information across Healthgrades, Zocdoc, Google Business, WebMD, your website, and institutional directories. If your Healthgrades profile lists different specializations than your website, or your address varies between platforms, AI loses confidence and defaults to a provider with cleaner signals.
Review presence on the platforms that matter.
Healthgrades, Zocdoc, Vitals, RateMDs, Google Business, and WebMD are among the most cited sources in AI recommendations for healthcare. Review volume, recency, and sentiment directly influence whether AI recommends your practice. A provider with 200 recent Healthgrades reviews will be recommended over one with 15 — regardless of clinical quality.
How Patients Use AI
Four stages. If you’re missing from any of them, you lose.
| Stage | What the buyer asks AI | What AI needs from you |
|---|---|---|
| Discover | "What are the best providers for X?" | Presence in listicles, editorial coverage, and category content that establishes your firm as a known option |
| Compare | "Provider A vs Provider B for my use case" | Comparison content, differentiated positioning, and review presence that gives AI clear points of distinction |
| Validate | "Is Provider A reputable? Any red flags?" | Reviews, case studies, third-party mentions, and awards that AI can cite as independent proof |
| Choose | "Which proider is best for a condition like mine?" | Use-case specific content, decision guides, and consistent entity signals that match the buyer's context |
OUR Financial Services APPROACH
The full GEO and PR program, built for finance.
Organic PR
We secure editorial coverage and listicle inclusions in the publications patients and referring physicians trust. For healthcare, the credibility of the source carries exceptional weight. A feature in a respected health outlet or inclusion in a trusted “best of” list can dramatically shift AI’s willingness to recommend your practice.
Review Stimulation
For healthcare providers, review presence in platforms like Zocdoc and GoogleBusiness is often the biggest factor in AI recommendations. Patients read reviews before booking, and AI models cite review platforms as primary evidence. We design ethical review generation systems that produce fresh, detailed patient reviews.
Specialized GEO Content
We create condition-specific landing pages, treatment guides, provider comparison content, and patient education resources structured for AI extraction. When a patient asks AI about your specialty in your area, your content gives the model clear, authoritative information that positions your practice as the trusted expert.
Social Chatter
We build visibility on health forums, Reddit health communities, Facebook health groups, and patient advocacy platforms where health discussions happen. AI models reference these discussions when evaluating provider credibility. Genuine patient and community engagement signals real trust in a way that advertising cannot.
In-house Channel Optimization
We ensure your website, profiles, and directories are consistent, structured, and machine-retrievable — from MedicalOrganization and Physician schema markup to entity consistency across every platform. For healthcare, credentials, board certifications, and institutional affiliations are critical entity signals.
Targeted Paid Press Releases
We amplify key milestones — new treatments, clinical achievements, physician hires, facility expansions, research publications, awards — through premium distribution channels that AI models index. Healthcare organizations with a steady cadence of clinical news create fresh authority signals that AI values.
How we work
From invisible to recommended – tailored to healthcare services.
Step 01
Discovery
We test your practice across hundreds of prompts patients actually use. We map where you appear, where competitors appear instead, and audit your review presence, editorial footprint, and entity consistency across all relevant healthcare platforms.
Step 02
Strategy
We build a prioritized roadmap. Whether your gaps are a lack of reviews, missing from key publications, or weak content optimization, we develop a detailed strategy shaped by your specialty, market, and competitive landscape — not a generic template.
Step 03
Execution
Simultaneous execution across all relevant vectors. PR campaigns targeting your industry’s key publications. In-house content optimized. New GEO content pieces published. Directories published. Entity signals aligned across platforms.
Step 04
Iteration
Continuous citation tracking across all major AI platforms. Monthly reports showing which prompts trigger your firm, which don’t, and what competitors are doing. Quarterly strategy reviews to adjust priorities based on what’s working and what isn’t.
Get Started
Find out if your brand is AI-ready.
Free Audit
Get a free AI visibility audit assessing your content, technical structures, and more. See exactly where you stand in under 48 hours.
No commitment. No retainer. Just data.
What it includes:
- AI citability & visibility score
- Technical foundations & data review
- Content & EEAT audit
- Optimization score for specific platforms
- Action Plan
How we think
Whether you’re a specialist practice or a hospital network, AI visibility follows the same rules.
We work with healthcare organizations across specialties and sizes. If your practice depends on being found and trusted by patients researching providers, GEO applies to you. Here are some of the organization types we’ve worked with:
- Hospitals and health systems
- Specialist medical practices and clinics
- Dental and orthodontic practices
- Dermatology and cosmetic surgery centers
- Mental health and therapy practices
- Health technology and digital health companies
- Pharmaceutical and biotech brands
- Wellness and integrative medicine providers
The principle is the same regardless of specialty or size: AI recommends the providers it can verify through independent sources. Your clinical expertise is a claim. We build the verification layer.
Case Studies
AI Visibility Success Stories Driven by Authority Building.
Case Study 02
Authority building that lasts years.
The context:
A DARPA-incubated startup competing against established players for government and enterprise contracts — in one of the noisiest industries on the internet.
The Outcome:
Years later, ChatGPT, Claude, Perplexity, and Gemini all recommend this company by name with high confidence — powered by the authority footprint we built.
Thanks to PolyGrowth, our local business is ranked #1 on Google for our most important keywords and has been recommended as the best option on ChatGPT for 2+ years now.
We really enjoyed working with the PolyGrowth team. The results were exactly as promised and we look forward to our next project with them.
"We highly recommend Simon and the PolyGrowth team. They were extremely easy to communicate with and provide an exceptional service with great turnaround time. We will continue to use their services long term and would encourage anyone else to do the same."
FAQs
Frequently asked questions about AI visibility for healthcare.
According to OpenAI, over 230 million people ask ChatGPT health and wellness questions every week, and over 40 million use it for health advice daily. Health is one of the most common uses of ChatGPT. Patients ask questions like “best cardiologist in [city]” or “top hospitals for joint replacement.” 39% of Americans already trust AI tools for healthcare decisions, and 31% use chatbots to prepare questions before doctor visits. OpenAI has even launched ChatGPT Health, a dedicated platform for health data, signaling this trend is accelerating.
ChatGPT dominates with over 230 million weekly health queries and has launched a dedicated ChatGPT Health platform. Google AI Overviews trigger on a high percentage of health-related searches. Perplexity is valuable for comparison queries. Each platform cites different sources, which is why a multi-platform strategy is essential. OpenAI’s investment in healthcare specifically signals that health will remain one of the primary AI use cases.
AI models can’t access physician referral networks or in-person reputation. They evaluate what they can find online: patient reviews, editorial coverage, directory listings, credentials in structured data, and entity consistency across platforms. A practice with outstanding clinical outcomes but limited online third-party evidence is invisible to AI. The good news is that building this verification layer is straightforward for practices that already have the underlying quality — the gap is in digital visibility, not clinical excellence.
Yes — and frequently. AI models value specificity and verifiability over institutional size. A specialized orthopedic clinic with strong Healthgrades reviews and coverage in regional health media can outperform a major hospital system for specialty-specific queries in a specific geography. AI recommendations favor the most relevant, verifiable answer — not the biggest institution. Specialists in specific locations win in AI.
We track citation frequency, recommendation positioning, and sentiment across all major AI platforms using prompt-by-prompt monitoring. Monthly reports include competitive benchmarking, trend analysis, and gap identification. We measure what matters: how often AI recommends the brand, in what context, and how that changes over time.
Healthgrades is the most heavily cited by AI for physician and hospital recommendations. Google Business reviews are critical for local healthcare discovery. Zocdoc, RateMDs, Vitals, and WebMD also carry weight. For dental practices, Google and Yelp tend to dominate. For mental health providers, Psychology Today listings matter. Our audit identifies exactly which platforms AI references for your specific specialty and market.
It depends on your starting point and market size. Practices with existing review presence and some media coverage can see initial citations within weeks on real-time platforms like Perplexity and ChatGPT. Practices building from zero need 2–3 months to establish the foundational authority layer. Becoming the go-to AI recommendation for a specific specialty in a specific market typically takes 6–12 months of sustained effort.
Traditional healthcare marketing focuses on patient acquisition through advertising, website optimization, and referral development. We focus on building the third-party authority layer that AI specifically evaluates: editorial coverage selected based on AI citation data, review presence across the platforms AI references, entity consistency across Healthgrades, Zocdoc, Google, and relevant directories, and content structured for AI extraction. Every placement serves a dual purpose: building reputation with patients and referring physicians and building recommendation confidence with AI models.