What Is ChatGPT Saying About You?

How AI Interprets, Explains, and Shapes Your Healthcare Brand

Every healthcare organization already has an AI representative.

It answers prospective patients' questions. It compares physicians, summarizes service lines, explains treatment options, and helps shape first impressions—often before a patient ever visits your website.

The only problem?

You didn't hire it.

For more than two decades, healthcare marketers have focused on a fundamental question: How do we help patients find us?

Search engine optimization, paid search, physician profiles, content marketing, reputation management, and digital advertising all shared the same objective: make your organization easier to discover when patients needed care.

That objective hasn't disappeared. But AI has quietly introduced another one:

What is AI saying about your organization once patients find it?

Increasingly, patients are asking ChatGPT, Gemini, Claude, and Google's AI Overviews questions they once asked traditional search engines. They aren't simply looking for links. They're asking for recommendations, comparisons, and explanations. They want to know where to go for orthopedic care, which cancer program has the strongest reputation, or what differentiates one health system from another.

In other words, AI is no longer just helping patients find healthcare organizations.

It's helping explain them.

That shift became especially clear during a recent Healthcare Success webinar, AI Hallucinations in Healthcare: The Hidden Risk to Your Brand, Compliance, and Patient Trust, where I was joined by Brandon Schakola; Pansy Lee, CEO of inlets.ai; and John Davey, Vice President of Marketing Technology at Mount Sinai Health System. Although we approached the topic from different perspectives, we kept returning to the same conclusion:

The next challenge isn't simply visibility.

It's representation.

Search engines largely acted as guides. They helped patients gather information and decide where to click next.

AI increasingly acts as an interpreter.

It doesn't simply point patients toward your organization. It describes your physicians, summarizes your services, compares you with competitors, and helps shape the first impression patients develop before they encounter your own marketing.

That's a significant shift in the patient journey.

Patients are no longer interacting only with the information you've published. They're interacting with AI's interpretation of that information.

That's why AI hallucinations have generated so much attention over the past year. In healthcare, they're understandably concerning because accuracy matters, patient trust matters, and brand reputation matters. But hallucinations are rarely random. More often, they're evidence that AI couldn't confidently determine which information was most authoritative in the first place.

During our webinar, Brandon Schakola reframed the issue in a way that stuck with me. If your organization hasn't established itself as the clearest, most authoritative source of information about itself, AI will assemble an answer from whatever credible signals it can find—and those signals aren't always complete, consistent, or even correct.

A simple example illustrates the point. When one large language model was asked to describe Burger King's new "Baby Burger," it struggled to identify authoritative information from the company's own website. Instead, it pulled information from unrelated restaurant websites and steakhouse menus, producing a description that bore little resemblance to reality.

For a fast-food chain, that's amusing. For a healthcare organization, it isn't. Imagine AI confusing one physician with another because their digital profiles are inconsistent, directing patients to a service that doesn't exist, or overlooking an award-winning cancer program because the signals establishing its expertise weren't clear enough for AI to interpret with confidence. Those examples are easy to dismiss as AI mistakes, but they're often something more important. They're clues that the organization's public information ecosystem may not be communicating as clearly as it should.

At first glance, that sounds like a digital marketing problem.

It's much bigger than that.

Long before patients schedule an appointment, they begin deciding whether an organization deserves their trust. They look for signs of clinical expertise, physician experience, patient outcomes, and institutional credibility. For years, search engines helped them gather that information.

Now AI is increasingly helping interpret it.

During our webinar, John Davey observed that healthcare is entering the AI era at a time when public trust has already been challenged by years of online misinformation. AI has the potential to help patients navigate an increasingly complex information landscape—but only if the information it relies on is accurate, consistent, and trustworthy.

The concern isn't simply that AI may occasionally get something wrong. It's that most patients have no practical way of knowing when it has. A physician may recognize an inaccurate recommendation or an incomplete explanation. A patient often can't.

That's why this conversation isn't ultimately about technology.

It's about trust.

Trust increasingly begins before a patient ever walks through your front door. It begins with the story AI tells before that patient ever reaches your website.

Hallucinations aren't the larger story.

They're evidence of something much more consequential.

For the first time, technology can explain your organization without your participation.

That's the real shift.

Representation Is Becoming Part of Your Brand

Healthcare marketers have always understood that a brand is more than a logo, a tagline, or an advertising campaign.

It's the collection of beliefs patients form before they ever experience your care.

Some of those beliefs come from your own marketing. Others come from physician referrals, patient reviews, news coverage, community reputation, or conversations with family and friends. Every interaction shapes expectations long before a patient walks through your doors.

AI has now become another source of those expectations.

When someone asks which health system is known for cancer care, where to find the best orthopedic specialists, or what differentiates one organization from another, the answer they receive becomes part of your brand—whether it comes from your marketing department or not.

For years, healthcare organizations concentrated on managing what they said about themselves. Increasingly, they also have to think about how they're being described by systems that synthesize information from hundreds of public sources.

Your brand is no longer built solely by your messaging. It's also shaped by AI's understanding of your organization.

Imagine two health systems with comparable clinical capabilities.

One is consistently described as a destination for complex orthopedic care, recognized for multidisciplinary expertise, innovation, and exceptional patient outcomes.

The other is described simply as a hospital that offers orthopedic services.

Neither description is necessarily false.

But one creates distinction.

The other creates equivalence.

That's the difference representation makes.

AI doesn't invent your reputation. It reveals it.

If AI consistently describes your organization in generic terms, the problem may not be that the technology failed to understand you. It may be that your public presence hasn't communicated your differentiators as clearly or as consistently as you assumed.

That's a much more productive question for healthcare leaders to ask.

Not, "Why doesn't AI understand us?"

But, "Have we made it easy for anyone—including AI—to understand what genuinely makes us different?"

Organizations that can answer that question consistently will build stronger brands regardless of how AI evolves, because they'll also communicate more clearly with patients, journalists, referring physicians, and every other audience that shapes their reputation.

Authority Still Wins

Every major technology shift creates a rush toward new tactics.

We're seeing it again with AI. New optimization frameworks. New acronyms. New promises about how to succeed in generative search.

Some will prove valuable.

Many won't.

Healthcare marketing has been through enough digital transformations to recognize the pattern. Tactics evolve much faster than the principles that drive long-term success.

That's why the more useful question isn't, "How do we optimize for AI?"

It's, "Why does AI trust one organization more than another?"

The answer isn't a prompt, a plugin, or a technical shortcut.

It's authority.

Not authority in the marketing sense of being well known, but authority earned by becoming a credible, consistent, and trustworthy source of information.

Think about the healthcare organizations that have built the strongest digital presence over the past decade. They invested in accurate physician profiles, original clinical content, research, earned media, patient reviews, structured data, and websites that reflected the quality of the organizations behind them.

None of those investments were made for AI.

They were made to build trust.

Today, they also happen to make those organizations easier for AI to understand.

That's why I don't believe AI replaces SEO.

It increases the value of doing SEO well.

Many traditional tactics will inevitably evolve as AI changes search behavior. But clarity, credibility, and consistency never go out of style. Organizations that communicate their expertise clearly and reinforce it across every public touchpoint will continue building an advantage because they're making themselves easier for both patients and AI to understand.

Technology changes. Authority compounds.

That's why I would caution healthcare leaders against chasing AI-specific tactics before they've mastered the fundamentals.

If your physician biographies are inconsistent, your service-line messaging is generic, or your digital presence fails to reinforce what makes your organization distinctive, AI isn't creating those problems.

It's exposing them.

The organizations that succeed won't be the ones that learn how to manipulate AI.

They'll be the ones that become the clearest, most authoritative source of information about themselves.

Your Website Has a New Job

For years, one of the primary jobs of a healthcare website was education.

Patients arrived with questions. What is robotic knee replacement? How long is recovery after rotator cuff surgery? What are the symptoms of atrial fibrillation? Organizations that answered those questions clearly and credibly earned trust, attracted traffic, and performed well in search.

That responsibility isn't going away. Patients will always need reliable health information, and healthcare organizations should continue to provide it.

But many patients are beginning their journey somewhere new.

Increasingly, they're asking AI the introductory questions they once asked Google. By the time they arrive on your website, they may already understand the basics of a condition, procedure, or treatment option. Their knowledge may not be complete—or entirely accurate—but they've already established a starting point.

That changes what your website has to accomplish.

Its job is becoming less about introducing healthcare and more about introducing your healthcare organization.

AI can explain what robotic knee replacement is. It may even summarize how your program compares with others.

What it can't fully communicate is what it feels like to be treated by your physicians, how your multidisciplinary team approaches care, or why patients consistently choose your organization over another.

That's where your website becomes indispensable.

Patients are no longer asking only, "What is this procedure?"

They're asking, "Why should I trust you to perform it?"

The organizations that thrive in an AI-mediated world won't necessarily be the ones publishing the largest libraries of educational content. They'll be the ones that do the best job demonstrating why their care is worthy of a patient's trust.

That requires a different kind of content: physician perspectives instead of anonymous copy, original insights instead of recycled summaries, patient stories instead of marketing claims, and thoughtful video that lets expertise and empathy come through naturally.

As information becomes easier to generate, firsthand expertise becomes more valuable. As generic explanations become abundant, authentic perspectives become more distinctive.

The best healthcare websites have always done more than answer questions.

They've built confidence.

In the AI era, that may become their most important job.

Representation Is an Organizational Discipline

One of the biggest mistakes healthcare leaders can make is treating AI representation as a marketing initiative.

It isn't.

Marketing plays an essential role in shaping an organization's public presence, but it doesn't control every signal AI uses to understand your organization. Neither do communications, physician relations, or operations.

AI doesn't see departments. It sees organizations.

Every physician biography, research publication, media interview, patient review, service-line page, and digital profile contributes to the picture AI assembles. It doesn't distinguish between content created by marketing, communications, or clinical leadership. It synthesizes everything that's publicly available into a single understanding of your organization.

Patients increasingly do the same. They aren't evaluating your website separately from your online reviews, physician profiles, news coverage, or community reputation. They're forming an overall impression, and AI is increasingly helping shape it.

That's why representation isn't ultimately a content strategy. It's an organizational discipline.

Organizations that communicate consistently across every public touchpoint make it easier for patients—and for AI—to understand what makes them distinctive. Organizations that communicate inconsistently create ambiguity, making it harder for either to understand what truly sets the organization apart.

The goal isn't to make every piece of communication sound identical. It's to make every piece reinforce the same underlying truth: Who are we? What do we do exceptionally well? Why should a patient trust us over another organization?

The organizations that answer those questions consistently won't just be better understood by AI. They'll build stronger brands, earn greater trust, and communicate more effectively everywhere.

The Fundamentals Haven't Changed. The Stakes Have.

Every major technology shift creates predictions about what will change.

Some prove remarkably accurate.

Many don't.

Healthcare marketing has been through enough of these transitions to recognize the pattern. Search changed how patients discovered providers. Mobile changed how they interacted with healthcare organizations. Online reviews changed how they evaluated trust. Each development required marketers to adapt, but the organizations that benefited most weren't usually the ones chasing every new tactic.

They were the ones that executed the fundamentals exceptionally well.

AI feels different because the technology is advancing so quickly. New models will emerge. Patient behavior will continue to evolve. Measurement will improve. Many of today's best practices will eventually be replaced by better ones.

But the underlying challenge is unlikely to change.

Every healthcare organization already has an AI representative.

Every day, it helps prospective patients understand who you are, what you do, and how you compare with the organizations competing for their trust.

The question isn't whether that conversation is happening.

It's whether your organization is being represented in a way that reflects the quality of the care you've worked so hard to build.

That's why I don't believe the long-term opportunity is simply becoming more visible in AI.

It's becoming more understandable.

The organizations that succeed won't be the ones that learn how to manipulate AI. They'll be the ones that consistently communicate who they are, demonstrate genuine expertise, earn trust over time, and make it easy—for patients and for AI alike—to understand what makes them different.

In many ways, AI isn't changing the fundamentals of healthcare marketing.

It's raising the standard.

When information becomes abundant, clarity becomes a competitive advantage.

When answers become instantaneous, credibility becomes more valuable.

When every organization has access to the same technology, differentiation becomes harder to achieve—and more important than ever.

That's the opportunity hiding beneath all the conversation about generative AI.

Not to win a race for visibility.

But to become an organization that is impossible to misunderstand.

Technology will continue to evolve.

The organizations that thrive will be the ones that remain the clearest, most authoritative source of information about themselves—and the easiest for patients to trust.

If this article has prompted you to think differently about how AI represents your organization, our webinar, AI Hallucinations in Healthcare: The Hidden Risk to Your Brand, Compliance, and Patient Trust, explores the issue in greater depth. Along with Brandon Schakola, John Davey of Mount Sinai Health System, and Pansy Lee of inlets.ai, we discuss why hallucinations are only part of the challenge, how AI is reshaping brand perception, and the practical steps healthcare organizations can take today to strengthen their digital authority in an AI-driven world.

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