Local recommendations start with place and service

“Which practice is good?” leaves a lot open. Dentistry, physiotherapy or something else? In which location? Measuring that question starts with defining a situation that matters to a real customer.

Specific service-and-location combinations provide a useful starting point. Questions about a particular problem or requirement can be added. Including the brand name in every question would examine something different from an open search for providers.

Check information a customer needs too

• Which service is offered at each location?
• Do key pages agree on the address, contact details and opening hours?
• Are service area, appointments and restrictions explained clearly?
• What do the sources actually cited in an answer say?

Maintain public profiles factually. More reviews alone do not establish that a brand will appear more often in a given AI answer. One favourable answer does not establish coverage of all local questions either.

Observe locations separately

Branches in Cologne and Bonn serve different local situations. Their results should remain distinguishable. In KI Score custom monitoring, a relevant place must appear explicitly in the prompt; it is not added automatically.

If an answer gives the wrong address, save the text and sources. Then check the relevant claim on the company website and cited profiles. That creates a specific correction task rather than a general instruction to produce more local content.