DENVER, Colo., October 19, 2026. mdlaunch today launched an AI platform that builds an independent physician's brand and website from nothing more than their name, and keeps it growing so that when patients ask ChatGPT, Claude, Google AI or Google Maps who to see, the physician is the one they find. The platform launches for orthopedic surgeons, podiatrists and pain physicians and is live now at mdlaunch.io.
mdlaunch Launches to Get Independent Physicians Found First on AI Search

The launch lands at a turning point in how patients choose a doctor. 47% of patients now use AI to research or find a provider, up from 31% a year ago (rater8, 2026). When a patient asks ChatGPT who to see for a torn rotator cuff, the answer is a short list of names, and today those names are almost always a hospital system or a large group. The individual surgeon, often the one who would do the case, is a bio page on someone else's site. Closing that gap has meant a marketing agency, a $10,000 to $20,000 invoice and months of waiting.
"Independent physicians are being asked to do more, for less, every year, and the one lever they still control is bringing in more patients," said Steven Flutie-Davis, founder of mdlaunch. "The surgeon who gets the patient is not always the best trained one. It is the one a patient can find. That should never have required an agency and a five-figure invoice. AI should make this cheaper and faster, not just better. mdlaunch starts with your name and hands you a website built to get you found. Think of it as vibe coding for doctors, without needing any web development skills at all."
The physician types their name. mdlaunch gathers their training, board certification, fellowship, the conditions they treat, the procedures they perform and where they practice, confirms it with the doctor, and builds the site: a page for every condition and every procedure, answers to the questions patients actually type, and credentials written so the AI tools get the name, specialty and location right. The physician picks their photos, adds the practice's booking links and publishes on their own domain. The site belongs to the physician and goes with them wherever they practice.
What sets mdlaunch apart is what happens after launch. Every physician gets their own writing agent, and it works from data. mdlaunch's analytics track exactly how the physician is being found: where they rank on Google Maps and in AI answers, which searches bring patients to them, and which ones are going elsewhere. The writing agent reads those results and writes toward them, publishing four new articles a month, two on topics the physician chooses and two aimed at the searches the data shows are worth winning. Every month the site gets smarter about the physician's own market. It is the difference between a consultant writing for a doctor and a copywriter who learns from how that doctor's patients search.
mdlaunch serves the independent physician who wants more patients finding them first, and the resident or fellow who wants a name patients can find before their first job starts. Because every page names the physician's practice, the practice gains visibility as well.
"Fellows have spent years and a lot of money on their training, and a tool like this was never within their reach," Flutie-Davis said. "Now it is. They can build it from the couch in an evening and watch the numbers tell them it's working."
Any physician can start with the free Visibility Scanner at mdlaunch.io/scan, which shows where they currently appear on ChatGPT, Google and Google Maps for their specialty and city, alongside the practices and physicians around them.
About mdlaunch
mdlaunch is the AI platform that makes independent physicians the doctors patients find first. From a physician's name, it builds a complete specialty website on their own domain in minutes, then keeps it growing with a writing agent that reads how the physician is being found and writes new pages toward it every month. mdlaunch was founded by Steven Flutie-Davis, who spent his career in orthopedic and spine device sales watching which surgeons patients actually find. It launched in October 2026 for orthopedic surgeons, podiatrists and pain physicians, and is based in Denver, Colorado. Learn more at mdlaunch.io.
Media contact
Steven Flutie-Davis, Founder, mdlaunch
steven@mdlaunch.io
Author
The De Angelis Group | Orthopedics This Week | MSK Innovations
Why This Matters
Two Perspectives
MBA Lens: Economic and industry impact
mdlaunch launched an AI platform for independent orthopedic, podiatry, and pain physicians to enhance their visibility in AI search and Google Maps. This strategy aims to shift patient acquisition from large hospital systems to individual practitioners by providing an affordable, fast, and data-driven alternative to traditional marketing agencies, directly impacting patient volume and physician autonomy.
- The platform addresses the market gap where 47% of patients use AI for provider research, yet hospital systems typically dominate search results, disadvantaging independent practices.
- It offers a cost-effective, AI-driven solution for website building and continuous SEO, undercutting traditional agency fees and empowering physicians to control patient flow.
PhD Lens: Clinical and outcomes impact
mdlaunch introduced an AI platform designed to enhance independent physicians' online discoverability for orthopedic, podiatry, and pain management specialties. The system leverages AI to construct tailored websites and employs a "writing agent" that continuously generates content, optimizing for patient search queries and improving ranking on AI search engines and Google Maps based on real-time analytics.
- The core mechanism involves AI-driven content generation and optimization, adapting to patient search patterns to improve physician visibility over time.
- The platform's efficacy is measured by improved search rankings and patient acquisition data, rather than clinical outcomes or safety profiles.

Discussion
This is a fascinating development. In my practice we've seen similar outcomes with the revised protocol. The key differentiator seems to be patient selection criteria. Has anyone else noticed the correlation with BMI thresholds?
Great point. I'd push back slightly on the conclusion, the sample size in the cited study is too small to draw population-level inferences. That said, the directional signal is compelling and worth a larger RCT.
We implemented a similar approach last year. Early results are promising but we're still gathering 12-month follow-up data. Happy to share our protocol if anyone is interested.
Join the conversation
Orthopedic professionals are discussing this. Sign in and upgrade to read every comment and add your voice.