Questions buyers ask AI
Examples of the questions where AI names specific brands. Track questions like these for your own business.
The sources AI leans on
When AI engines answer questions about healthcare providers and clinics, they combine what the model learned in training with pages found through live search. These kinds of sources tend to shape the answer:
- Doctor and clinic directories, and appointment booking platforms.
- Google Business Profiles, maps listings and patient reviews.
- Hospital and clinic websites with doctor profiles and service pages.
- Health publishers and official health bodies for general medical questions.
- Local news and community discussions.
What to do
- 1Track questions by service, specialty and location, in the languages your patients use.
- 2Publish a clear page for each service and each specialist, with qualifications and experience.
- 3Show who reviewed medical content and when it was last updated.
- 4Keep names, addresses, phone numbers and timings identical across directories and maps.
- 5Add MedicalClinic or Physician schema where it fits.
- 6Encourage genuine reviews and respond to them professionally.
Watch out for
- Outdated doctor lists or timings on directories.
- Medical claims that go beyond what you can support.
- Regulations on advertising and testimonials in your country, which also apply to your own pages.
How Variask helps
- Track the questions your buyers ask across ChatGPT, Gemini, Claude, Perplexity, Copilot and Google AI, in every market you sell in.
- See which competitors get recommended instead of you, and the sources behind each answer.
- Catch wrong facts about your prices, products or policies, with the pages that likely caused them.
- Get content briefs and site fixes for the questions you lose, and measure AI traffic to your site.