Where errors come from and how to fix them
AI search tools like ChatGPT, Gemini, Perplexity, and Google AI Overviews build answers from your online listings, website content, and structured data called schema markup (code that labels details like hours and services for search engines). Wrong information almost always traces back to outdated or conflicting data at the source, not a flaw in the AI itself. Fixing it means correcting the source, then confirming the AI reflects the change.
Auditing the sources engines read
Before correcting anything, an internal medicine practice needs to know exactly what AI tools are reading and where that data lives. This means checking Google Business Profile, Bing Places, Apple Maps, Healthgrades, Vitals, Zocdoc, insurance directories, and the practice website itself, since AI search tools often pull from a mix of these rather than one authoritative record.
Start by asking each AI tool directly: "What are the hours and services for your practice name in your city?" Compare the answers against your actual current information. Note every discrepancy, whether it is a wrong phone number, an old address, a discontinued service still listed, or a physician who no longer practices there. Then trace each error back to its likely source. If three directories list the same wrong fax number, that number probably originated from one outdated listing that others copied. Finding the original error is more useful than fixing every downstream copy individually, though downstream copies still need correcting too.
Search engines and AI tools also read patient reviews and third-party health directories that mention specifics like "walk-in hours" or "accepts new patients." If those statements are outdated, they can shape how an AI tool summarizes your practice even if your own website is accurate. A full audit accounts for these secondary mentions, not just primary listings.
Correcting hours, services, and location details
Hours, services offered, and physical location are the three details patients rely on most when an AI tool answers a question like "internal medicine doctor near me open now." Getting these three categories accurate everywhere is the highest-priority fix, since errors here directly cause missed appointments or patients showing up to a closed office.
For hours, update every listing platform individually rather than assuming a change on one syncs to others. Google Business Profile, Bing Places, and Apple Maps each require separate updates. If your practice has different hours for different services, such as lab draws starting earlier than physician visits, state that distinction clearly rather than listing one generic hour range that leaves AI tools to guess or average.
For services, list what you currently offer using the terms patients actually search, such as "annual physicals," "chronic disease management," "diabetes care," or "vaccinations," rather than only clinical shorthand. If a service was discontinued or a specialist left the practice, remove that mention everywhere it appears, including old blog posts or bios that AI tools might still crawl.
For location, confirm the address format matches exactly across every platform, right down to suite numbers and how you abbreviate "Street" or "Suite." Small inconsistencies in address formatting can cause mapping tools and AI assistants to treat two listings as different locations, splitting your online presence and confusing both patients and search algorithms.