You can audit what ChatGPT, Gemini, and Perplexity say about your regenerative or stem-cell clinic yourself, today, without special tools. Open each platform, type the questions a prospective patient would type, and read the answer as if you were a stranger deciding whether to book a consultation. What you find, whether it is accurate, outdated, generic, or missing you entirely, tells you exactly where to focus your next round of fixes.
Why this audit matters more than your website ranking
Patients researching joint pain, PRP (platelet-rich plasma), or stem-cell therapy increasingly ask an AI answer engine before they open a search engine results page. These tools summarize, compare, and sometimes recommend clinics directly inside the chat window, which means a patient may form an opinion about your practice before ever clicking a link. If the AI's summary is thin or wrong, that opinion works against you before you get a chance to correct it.
The prompts to run on each answer engine as a patient would
Run the same set of patient-style questions on ChatGPT, Gemini, and Perplexity, then compare the answers side by side. Use natural phrasing, not your clinic's name first, because that mirrors how someone unfamiliar with you actually searches. This step alone reveals whether you show up, how you're described, and whether the details match what your clinic actually offers.
Start with broad, non-branded prompts such as "best regenerative medicine clinic near your city" or "who does stem-cell therapy for knee pain in your area." Follow with comparison prompts like "PRP versus stem-cell therapy for joint pain" to see if your clinic is cited as a source or example. Then run a branded prompt with your clinic's actual name to see what the engine already knows or assumes about you, including services, credentials, and location. Note which platform names you, which ignores you, and which lists competitors instead.
What a good, mediocre, and missing result looks like
A good result names your clinic accurately, describes the specific regenerative treatments you offer, and reflects your current location and contact path without errors. A mediocre result mentions you but with outdated services, a wrong address, or vague language that could describe any clinic. A missing result means the engine answers the question confidently while never mentioning you at all, even though you offer exactly what the patient asked about.
Missing results are the most common outcome for regenerative and stem-cell practices, because these clinics tend to be newer, smaller, or less covered by the large medical directories and review sites that answer engines pull from. If Gemini names three competitors and skips you, that is not a random gap. It usually means your clinic's information is not present, consistent, or clear enough in the sources these tools rely on, such as your website, directory listings, and review profiles.
How to spot wrong details and where they come from
Wrong details in an AI answer almost always trace back to something published somewhere about your clinic, even if that source is old, incomplete, or was never accurate. Common culprits include a former address still listed on a directory, a discontinued treatment still described on an old web page, or a review site that lists the wrong phone number. AI answer engines synthesize from many sources, so one outdated listing can quietly outweigh your current, correct website.
When you spot an error, such as a listed treatment you no longer offer or a provider name who has left the practice, try to trace it. Search your clinic's name plus the wrong detail (for example, "your clinic name cellular therapy" if that is not a service you provide) to find which page is feeding that information. Directories, old press mentions, and health-system profile pages are frequent sources, and correcting the original listing is often the only way to get the AI-generated answer to change over time.
Turning the audit into a short list of fixes
Once you have run the prompts and logged the results, convert what you found into a short, specific list rather than a vague impression. For each platform, write down whether your clinic appeared, whether the details were correct, and what was missing or wrong. This turns a scattered set of chat transcripts into a working checklist you can act on and revisit.
Prioritize fixes in this order: correct wrong information first (wrong address, discontinued treatment, former provider), then fill in missing information (services you offer that no engine mentioned), then strengthen weak descriptions (vague mentions that don't distinguish you from a general clinic). Wrong information actively misleads patients and should be fixed at the source listing immediately. Missing information is a growth opportunity, since adding clear, consistent details about your specific treatments, credentials, and location across your website and directory profiles gives answer engines more accurate material to draw from the next time they generate a response.
How to check your progress yourself, on your own schedule
You do not need anyone else's report to know whether your fixes are working. Rerun the same set of prompts, worded the same way, on ChatGPT, Gemini, and Perplexity every few weeks, and keep a simple log of what each platform says about your clinic each time. Compare each new answer to your previous notes: did a wrong address disappear, did a missing service get added, did your clinic start appearing in a comparison prompt where it didn't before?
Because AI answer engines update their sources and summaries over time, and not on a fixed schedule you can predict, checking periodically rather than once is what matters. Keep your log in a simple document, note the date of each check, and treat any change, good or bad, as a signal about whether your underlying listings and website content are being picked up accurately. This self-check costs nothing but a few minutes and gives you a direct, unfiltered view of what patients are actually being told about your clinic right now.