Patients are asking ChatGPT, Gemini, and Perplexity the same questions they used to type into Google — "who's the best clinic for this," "who takes new patients," "who's actually good near me." If your practice isn't part of the answer, someone else's is.
Free, no-obligation snapshot · No guaranteed-placement promises
The Problem
Independent practices spend years building clinical reputation, referral relationships, and patient trust — and almost none of that effort is visible to the AI systems patients now consult before they ever call your office. A patient researching a new provider, a second opinion, or a specialty treatment increasingly starts with an AI assistant instead of a search engine, and that assistant answers from whatever it can find: directory listings, review sites, your website, and third-party health content. If that information is outdated, thin, or inconsistent, the AI has little choice but to recommend the practice down the street that looks clearer and more current.
This is a different problem than traditional SEO. Ranking on page one of Google doesn't automatically mean an AI system will cite your practice, describe your services accurately, or mention you at all when a patient asks a direct question. Many practices we've evaluated have a strong web presence and still show up inconsistently — or not at all — across the platforms patients are starting to rely on.
For healthcare specifically, the stakes are higher than a missed lead. If an AI system describes your practice's services, credentials, or "accepting new patients" status incorrectly, that's not just a marketing gap — it's a patient-trust and accuracy problem.
What patients are asking AI
Illustrative examples of how a prospective patient might phrase a question to an AI assistant — not prompts AnswerFoundry controls or can guarantee an answer to.
"Best regenerative medicine clinic near me"
"Best physician-led weight-loss clinic in [city]"
"Which local clinic offers hormone optimization"
"Which local clinic is physician-owned"
"Top-rated primary care doctor accepting new patients near me"
"What's a good specialist for [condition] that isn't part of a big hospital system"
Common Visibility Failures
When evaluating independent healthcare practices, the same handful of issues show up again and again.
Old addresses, disconnected phone numbers, or incorrect hours still circulating across health directories and citation sources.
Your website says one thing, Healthgrades says another, and your Google Business Profile says a third.
AI systems repeating outdated availability information because no one corrected it after your panel status changed.
An "About Us" page that doesn't clearly state specialties, credentials, or what makes your care model different.
A competitor that isn't necessarily better, but shows up more often because its information is more complete and consistent across the sources AI systems draw from.
Accuracy & Compliance
Healthcare is a regulated industry, and AI-generated answers don't come with the same disclaimers a human referral would. If an AI system repeats an inaccurate claim about a treatment, a credential, or an insurance relationship, the burden of correcting that impression falls on your practice — often after a patient has already formed an expectation. Getting your source information accurate, current, and consistent isn't just good marketing practice; it reduces the chance that AI systems propagate something your practice would never claim on its own.
Competitor Comparison
Part of a Foundry Audit is understanding who already shows up when patients ask AI systems about your category. We test a defined set of prompts across multiple AI platforms and document, with screenshots, which practices are mentioned, how often, and what sources appear to inform those answers. For illustration only: in a sample audit, "Clinic A" might appear in 5 of 8 test prompts while the client practice appears in 1 — not because Clinic A is clinically superior, but because its information footprint across directories, reviews, and structured content is more complete. We show you where you stand today against named competitors already appearing in your category, using your actual test results — not projections.
How AnswerFoundry Helps
We run a defined set of realistic patient prompts across major AI platforms and record exactly what they say about your practice and your competitors today.
We identify why — inconsistent listings, missing structured data, thin content, weak or outdated sources — and show you the specific gaps between you and the practices already being recommended.
We help you close the highest-priority gaps first, then track how your answer footprint changes over time as AI systems re-index and re-answer the same questions.
What's Included
A one-time diagnostic that tells you exactly where you stand and what to fix first.
ChatGPT, Gemini, Perplexity, and others.
Benchmarked against named category competitors.
How your practice is described across the web.
What's actually feeding AI's answer about you.
Of your website's structure and machine-readability.
Where your content fails to answer real patient questions.
Listings, reviews, and local trust signals.
What to fix first, and why.
To walk through findings together.
Proof
AnswerFoundry's founder case study — PrimeCell Regenerative — documents how this process was applied to a physician-led regenerative medicine practice, including the testing methodology and what's changed so far. Read the case study → Additional industry-specific case studies for healthcare practices are currently in progress and will be published with documented, verifiable results — not fabricated figures.
FAQ
No. No ethical vendor can guarantee placement, citation, or recommendation in any AI system. What we can do is measure your current visibility, diagnose the gaps, and improve the signals that influence whether AI systems can find, understand, and accurately cite your practice.
Traditional SEO optimizes for search engine rankings. AEO (answer-engine optimization) focuses on whether AI assistants can find accurate, structured information about your practice and choose to reference it in a direct answer. The two overlap but aren't the same discipline.
We test across major consumer AI platforms patients actually use, including ChatGPT, Gemini, and Perplexity, and update our testing set as usage shifts.
AI systems don't update on a fixed schedule, and re-indexing varies by platform. Visibility improvements typically build over one to two quarters as AI engines re-crawl and re-weigh sources — local categories with weak competition often move faster.
The Foundry Audit is $795 one-time, with a $495 founding launch price through September 19, 2026 or the first 10 paid audits. Forge & Monitor is $1,250/mo with a 3-month minimum for practices that want continuous testing, implementation, and monitoring as AI answers evolve.
The audit takes two weeks. The blind spot lasts as long as you let it.
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