How to correct inaccurate AI statements about your services
If ChatGPT, Gemini, or Google AI Overviews are telling patients wrong information about your fertility clinic, the fix is to update and reconcile the source pages those tools pull from: your website, Google Business Profile, and major directories. AI systems do not verify facts independently; they summarize whatever text they can find, so the correction has to happen at the source, not by arguing with the chatbot. Once the underlying pages agree with each other and are clearly written, engines typically update within a stretch of weeks as they recrawl.
Where engines pick up outdated or wrong clinic details
AI assistants build answers from a mix of your website, your Google Business Profile, insurance directories, physician-rating sites, and old press mentions. When a patient asks an AI tool whether your clinic offers a specific IVF (in vitro fertilization) protocol, accepts a certain insurance plan, or has weekend monitoring appointments, the tool is often summarizing whichever page it judges most relevant and freshest, not necessarily your official one. Outdated directory listings and abandoned old profiles are common culprits.
Fertility patients research aggressively before booking, comparing clinics, protocols, and success messaging across many tabs. That means an AI-generated summary drawing from a three-year-old directory listing, a physician who left the practice, or a service line you discontinued can shape a patient's first impression before they ever reach your site. The problem is not that the AI is "lying." It is that it found and trusted the wrong page.
Why conflicting information across the web causes errors
Conflicting information across the web causes AI errors because large language models (the systems behind tools like ChatGPT) resolve disagreements by leaning on volume and consistency, not by calling your front desk to check. If five listings say your clinic is open Saturdays and one outdated directory says it is not, the model may still surface the outlier, especially if that outlier page has stronger technical signals like clear headings or recent-looking timestamps.
This matters more in fertility and reproductive medicine than in most local services because the stakes of a wrong answer are high. A patient who believes you do not offer donor egg cycles, or who thinks a discontinued physician still practices at your clinic, may simply choose a competitor rather than call to double-check. Inconsistent NAP data (name, address, phone number) across listings is one of the most common sources of this kind of conflict, along with duplicate or outdated directory profiles that were never claimed or closed out.
How to publish authoritative details engines will prefer
Publishing authoritative details engines will prefer means making your website and profiles the clearest, most current, and most consistent source of information about your clinic, so that when systems compare pages, yours wins. This includes plainly stated service lists, current physician bios, explicit insurance and financing information, and structured data (schema markup, a code format that labels information like hours, services, and address so machines can read it accurately) on key pages like your services and provider pages.
Specificity helps more than persuasive language does. A page that states which fertility treatments you provide, which insurance plans you accept, and which locations offer which services in plain sentences gives an AI system something concrete to quote. Vague marketing copy about "comprehensive fertility care" gives it nothing to work with, so it looks elsewhere, sometimes to a third-party site with more specific (and possibly wrong) claims. Updating your Google Business Profile, correcting or removing duplicate directory listings, and keeping physician rosters current across every platform where your clinic appears all reduce the number of conflicting signals an engine has to choose between.
Monitoring what assistants say about your practice
Monitoring what assistants say about your practice means periodically asking ChatGPT, Gemini, Perplexity, and Google's AI Overviews direct questions a patient might ask, such as which treatments you offer, whether you accept a specific insurance plan, or who your physicians are, and checking the answers against reality. This is the only reliable way to catch an error before a patient does, since these tools do not send notifications when they get something wrong about your practice.
Set a routine: run the same handful of patient-style questions across each major AI tool every so often, and note when an answer is outdated, incomplete, or attributes services to your clinic that you do not offer. When you find an error, trace it back to the source page it likely came from, correct or remove that source, and refresh the accurate version of that information on your own site and profiles. Because these engines recrawl and re-summarize on their own schedules, corrections do not appear instantly, but consistent, current, well-structured information across your official channels is what eventually earns the accurate answer.
What to ask before hiring anyone to fix this
Before hiring a marketer to address AI-driven misinformation about your fertility clinic, ask how they identify which source page an AI tool is likely pulling an error from, and ask them to show you an example from past work rather than describe the process abstractly. Ask how they reconcile conflicting NAP data across directories and whether they will actually clean up or close duplicate listings, not just add new content on top of them. Ask how they use structured data on service and provider pages, and ask them to explain, in plain terms, why that helps a language model summarize your clinic accurately. Finally, ask how they monitor AI answers over time and how often they will report back on what specific questions they tested and what changed. A marketer who cannot answer these concretely, or who talks only about rankings and traffic without mentioning how AI systems choose and trust sources, does not understand this problem well enough to fix it for you.