Regaining control of your narrative when AI gets it wrong
When an AI search tool like ChatGPT, Gemini, Perplexity, or Google AI Overviews states incorrect information about your general surgery practice, the fix is to correct the underlying sources those engines pull from, not to contact the AI provider directly. Update your website, directory listings, and Google Business Profile with clear, consistent, current details, then give the engines time to recrawl and reflect the correction. Persistent errors after that point call for a more direct escalation path.
Patients now research surgeons the way they research restaurants and contractors: they ask an AI assistant a question and act on whatever summary appears. If that summary lists the wrong hours, an outdated address, a procedure you no longer perform, or insurance networks you left years ago, the mistake reaches patients before they ever visit your website. Understanding why this happens and how to correct it protects both your reputation and your patient pipeline.
Why engines sometimes state outdated details
AI search tools generate answers by pulling from crawled web pages, directory listings, and structured data rather than verifying facts in real time with your office. If your website still lists a former address, a retired partner, or a discontinued service line, that outdated text becomes the raw material an AI model uses to construct its summary. The AI is not guessing; it is repeating something written somewhere it trusts.
This also means errors often trace back to sources you don't manage daily. A hospital directory, an old press release, an insurance network page, or a third-party health listing site can carry stale details for years. AI engines don't necessarily prioritize your own website over these secondary sources, especially if the secondary source has more inbound links or has existed longer. The practical implication: a single correction on your homepage may not be enough if five other sites still say something different.
Correcting source data engines pull from
Correcting the data that AI engines read means updating every public-facing profile where your practice's information appears, not just your own website. This includes your Google Business Profile, Bing Places listing, hospital or health-system directory entries, insurance network directories, medical association listings, and any general business directories where your practice was ever added. Consistency across all of these matters more than perfection on any single one.
Start with the profile most likely to be cited: your Google Business Profile, since Google's AI Overviews and many other tools weight it heavily. Confirm your services, hours, address, phone number, and accepted insurance are current. Then move to hospital affiliate pages and any directories tied to your credentialing, since these carry authority signals that AI systems and traditional search both rely on. Finally, search your practice's name alongside old addresses or former partners to find leftover listings you may have forgotten existed, and either update or remove them.
Strengthening authoritative pages about your practice
A strong, detailed, and unambiguous set of pages about your practice gives AI engines a clear, current source to draw from instead of an outdated one. Your website's homepage, about page, services pages, and provider bios should each state plainly what procedures you perform, which conditions you treat, where you're located, and how patients reach you. Vague or thin pages leave room for an AI system to fill gaps with information from elsewhere.
Service pages deserve particular attention because they answer the specific questions patients type into AI tools, such as which surgeon in their area performs a given procedure. A page dedicated to a specific service, written in plain language and kept current, gives engines a precise match for that query. Provider bios should state current credentials and affiliations directly, since AI tools frequently summarize bio pages when asked "who performs this surgery near me." Pages using schema markup, a structured data format that labels information like business hours, medical specialties, and addresses so search engines can read them accurately, give AI systems an even clearer signal to work from.
Monitoring for recurring errors
Monitoring means periodically asking AI tools the same questions a prospective patient would ask, then checking whether the answers match reality. Try direct queries such as "does your practice perform hernia repair," "what insurance does your practice accept," and "where is your practice located," across ChatGPT, Gemini, Perplexity, and a Google search that triggers an AI Overview. Note any discrepancy, no matter how small.
Because AI engines refresh their understanding of the web on their own schedules, an error you corrected at the source may still surface in an AI answer for some time afterward. Repeating this check on a regular cadence, rather than once and forgetting it, is the only way to know whether your corrections have actually taken effect or whether an error has resurfaced from a source you missed. Keeping a simple log of what you checked and when makes it easier to spot patterns, such as one directory that keeps reverting to old information.
When and how to escalate corrections
Escalation becomes necessary when a correction at the source hasn't resolved the AI's answer after a reasonable amount of time, or when the error involves something with real patient-safety or legal weight, such as a wrong phone number for urgent concerns or a claim about a procedure you don't perform. At that point, the response depends on which platform is misrepresenting you.
For Google, verify your Google Business Profile edits were approved and use Google's feedback tools within AI Overviews to flag an inaccurate answer directly. For directory sites and hospital pages, contact the site administrator or your credentialing office in writing, since these often require a formal update request rather than a self-service edit. For general-purpose AI tools like ChatGPT or Perplexity that don't pull from a single controllable listing, focus your energy back on the source pages; these tools re-scan the web periodically, and a corrected, well-structured page is the most reliable long-term fix even though it isn't instant. Document each correction request and date so you can follow up if the error persists.
Which of your existing assets is already doing the most work
Before making changes, check which asset patients and AI tools already treat as reliable. Look at your Google Business Profile insights and your website analytics: whichever page draws the most direct traffic or the most "how did you hear about us" mentions from new patients is likely the one AI engines are already citing. Reviews mentioning specific procedures, photos showing your actual office and team, FAQs answering common pre-surgical questions, and detailed service pages each carry different weight, and the one with the most consistent, specific, current detail is usually your strongest signal. Strengthen that asset first, then extend the same clarity across the rest.