How to Check What AI Says About Your Clinic (The Right Way)

What does AI tell people about your clinic?

It might describe your services, summarize your reputation, or explain what someone should know before booking. But the answer you receive can depend partly on how you ask the question.

Before you change your website or rethink your marketing based on one response, take a closer look at how you tested it.

Here are three practical checks to help you assess what AI says about your clinic—and decide whether anything needs your attention.

Prefer to listen? Play the podcast episode

In this episode of The Clinic Marketing Podcast, we walk through three practical checks to help you review what AI says about your clinic, verify the facts, and decide what deserves your attention.

Listen below, or keep reading for the steps.

Why one AI answer doesn’t tell the whole story

A November 4, 2026 study from SE Ranking explored how question wording related to ChatGPT’s descriptions of brands.

Researchers created 180 prompts: 60 positive, 60 neutral, and 60 negative. They ran each prompt five times, collecting 900 responses.

The tone of the question was strongly associated with the tone of the answer. Negative framing moved sentiment farther from the neutral baseline than positive framing did.

Answers also varied when researchers repeated the same question. Only 44% of prompts received the same sentiment classification across all five responses, although most still had a majority classification.

The study covered televisions, telehealth brands, and airline loyalty programs—not local clinics generally. It’s vendor research, and its findings don’t establish how AI will describe your practice.

The useful lesson is straightforward: one AI answer is not a reputation report.

Before you start, keep your testing conditions consistent

Start a fresh conversation for each check so earlier messages have less opportunity to shape the response.

Keep the AI tool and settings consistent where possible. If you compare results from different tools or different account conditions, record those differences rather than treating every response as part of the same test.

For each check, save:

• The exact question.
• The date and AI tool used.
• The answer and any cited sources.
• Whether you were logged in or logged out.
• Any other relevant settings or conversation context.

Keep private patient information out of your questions. You’re reviewing public information about your practice.

1. Save the exact question

Small wording changes can ask the tool to produce very different answers.

Consider these examples:

• “What services does this clinic offer?”
• “Why might someone choose this clinic?”
• “What concerns should someone consider before booking?”

These questions explore different parts of a patient’s decision. A favorable answer to the second question and a cautious answer to the third don’t necessarily contradict each other.

Choose a small set of realistic questions and save them word for word. Include neutral questions and questions about potential concerns, rather than only asking why your clinic is a great choice.

Use your clinic’s full name and location when needed to reduce confusion with similarly named practices.

The goal is to understand the range of information someone might encounter, not to produce the most flattering answer.

2. Repeat the check and look for patterns

Ask each saved question more than once, using a fresh conversation.

One concerning answer deserves a different interpretation from the same factual problem appearing repeatedly.

Look for patterns such as:

• Confusing your clinic with another practice.
• Naming services you don’t offer.
• Leaving out an important service.
• Providing outdated hours or provider information.
• Repeating an unsupported claim.

Then check again on another occasion. If you make a meaningful correction to your public information, record what changed and when.

You don’t need to monitor every answer every day. A manageable set of questions and a simple record will be more useful than a collection of unrelated screenshots.

Repeated checks still won’t create a definitive reputation score. They can help you identify issues worth investigating.

3. Verify factual claims against the sources

Separate opinions from details you can check.

“This clinic is a great choice” is an assessment.

“This clinic offers Saturday appointments” is a factual statement.

Pay particular attention to information that could affect someone’s decision to contact you:

• Services: Does your clinic actually offer the services described?
• Location and hours: Are your address and appointment hours current?
• Providers: Are provider names, roles, and credentials accurate?
• Pricing: Does the answer reflect your current published information?
• Insurance: Is the statement accurate, or should someone confirm the details with your team?
• Appointment process: Does the answer correctly explain how to book and what to expect?

A citation doesn’t automatically make a claim correct. If you can’t find reliable support, treat the claim as something to investigate.

What should you do if AI gets your clinic wrong?

Start with the underlying public information.

Check your website and the relevant listings or pages cited in the answer. You may find an outdated directory entry, conflicting details across your own pages, or information about a different business.

Correct information you control. For external pages, use the publisher’s available correction process where appropriate.

If the answer exposes a genuine gap, improve the page where that information belongs.

For example:

• Explain the first visit on your appointment page.
• Clarify a service on its existing service page.
• Make provider credentials easier to find.
• Answer a recurring administrative question in your FAQs.

For clinical information, involve the appropriate qualified professional and keep claims accurate.

You don’t need to publish a new blog post for every question AI raises. Often, updating an existing page is the more useful action.

Clearer public information helps prospective patients make informed decisions. It doesn’t guarantee an immediate change in AI answers or a recommendation for your clinic.

What if the answer is negative but factually accurate?

A cautious answer isn’t necessarily a problem to eliminate.

Someone asking about drawbacks may receive a discussion of practical considerations, such as location, appointment availability, or whether a service suits their needs.

Review those points honestly. If they reveal something patients need to understand, explain it clearly on your website.

If the facts are accurate and accessible, you may have nothing to change. Keep your record and watch for a recurring issue rather than reacting to the tone alone.

Start with three questions

Choose three questions a prospective patient might reasonably ask about your clinic.

Save the wording, repeat the checks, and verify the factual details. Then make one useful improvement if you identify a real information gap.

Before changing your marketing because of an AI answer, check the question and check the evidence.

Want help making your clinic’s services, expertise, and patient information clearer online? Explore Propel’s clinic marketing services.