Background
Texas Endovascular is a multi-location practice specializing in minimally invasive treatments for conditions including vein disease, uterine fibroids, peripheral artery disease, enlarged prostate, hemorrhoids, and chronic joint pain. Its physicians are board-certified interventional radiologists serving patients across Houston, Dallas, Atlanta, and the surrounding markets.
Their doctors had decades of experience, thousands of procedures behind them, and treatments that could genuinely change a patient’s options. The problem was making sure that expertise existed in enough places online for AI systems to understand it.
That distinction matters more in healthcare than almost anywhere else. If someone asks ChatGPT for the best clinic in Houston for a minimally invasive fibroid treatment, vein procedure, or alternative to surgery, the model cannot simply take a medical practice’s own website at face value. It looks for outside evidence that the physicians are real experts, that other people recognize them as experts, and that the practice is genuinely associated with that treatment and location.
A great website tells AI what you say about yourself. External authority tells AI what the rest of the world says about you.
What they did
Our work with Texas Endovascular focused heavily on building that external layer. We started by understanding the specific questions patients were asking and where Texas Endovascular had an opportunity to become a stronger answer. The strategy was intentionally local and treatment-specific. We weren’t trying to make the practice famous for “vein conditions.” We cared about the questions that could actually turn into patients in Houston and the surrounding markets.
Then we worked to get Texas Endovascular and its physicians featured in credible places outside their own domain. That included podcasts, healthcare publications, expert interviews, and local media. Dr. William Fox appeared on podcasts discussing peripheral artery disease and new approaches to non-surgical joint pain. Dr. Eric Hardee appeared on Houston’s Fox 26 discussing uterine fibroid embolization and on Saludable Latina talking about fibroid treatment and women’s health. Other physicians participated in educational conversations around the conditions they treat every day.
Every appearance created another independent source connecting a physician, a treatment, a location, and an area of expertise. Dr. Fox was a Texas Endovascular physician explaining peripheral artery disease and minimally invasive care. Dr. Hardee was a Houston interventional radiologist discussing a non-surgical treatment for uterine fibroids. Those associations are exactly what we wanted the broader internet, and ultimately AI systems, to understand.
What happened
Texas Endovascular began building a much larger footprint outside of texaseva.com. Its physicians appeared across podcasts, local television, healthcare media, professional conversations, and other third-party sources discussing the same treatments and conditions the practice wanted to be known for.
That creates a fundamentally different kind of digital presence. Instead of an AI model finding one Texas Endovascular page saying, “Dr. Fox is an expert in minimally invasive vascular care,” it can find Dr. Fox being introduced by independent hosts as a vascular specialist, interviewed about peripheral artery disease, and discussing non-surgical treatment options elsewhere on the web.
The same thing happened across other physicians and treatment areas. The practice website remained important, but it was no longer being asked to carry the entire burden of proving the brand’s authority.
The part that matters
This is one of the biggest differences between traditional SEO and AI search. For years, brands were trained to think primarily about their own website: improve the pages, build links to them, get them to rank. AI answers are assembled differently.
The model may read your website, but it can also pull from a podcast, a local news segment, a physician profile, a review site, a medical publication, or another independent source. ChatRank tracks those citations because the sources being used to construct an answer tell you a lot about what the model actually trusts. If five independent sources associate your physician with a specific procedure, medical condition, and city, that is a much stronger signal than repeating the same claim five more times on your own website.
And these are not vanity impressions. Someone asking an AI assistant about alternatives to surgery or looking for a specialist for a specific condition is often deep into a healthcare decision. If Texas Endovascular becomes part of that answer, the next step can be a consultation.
Why it works
Most companies think GEO means producing more content for their own website. Sometimes the biggest opportunity is somewhere else entirely. AI systems are constantly trying to answer a basic question: why should I trust this brand enough to recommend it? External mentions help answer that question.
A podcast validates expertise. A local television appearance connects a doctor to a market. A healthcare publication associates the physician with a condition. A credible profile reinforces credentials. Reviews provide evidence from actual patients. None of those sources does the whole job alone. Together, they create a much clearer picture of who the brand is and why it belongs in the answer.
Texas Endovascular already had the medical authority. ChatRank helped make sure that authority existed across the internet, not just on its own website.