Official Answer Hub: A Clinic's Official Information, Readable As Is by AI and Patients

Challenge

Patients have started asking AI about clinics instead of a search box. Yet the blog and map listings clinics worked hard on sit where AI crawlers cannot read, and clinic websites often lack answers to what patients actually ask. The clinic’s official information had to live where AI and patients can read it as is, without touching the existing website.

Approach

1. Start from what patients actually ask. The information architecture is built from questions, not menus. Guides follow the order patients ask AI: questions before a consultation, pre-surgery precautions, the aftercare program, the safety system, visit guidance. Each guide cites the clinic’s published material and the director’s own explanation videos.

2. Tools for international patients. Korean and English pages are paired, and the English side adds a planner that turns a surgery date into a recovery schedule, plus a guide to the area around the clinic. These are pages where the clinic itself answers what international patients ask AI.

3. Trust signals. An author page, a corrections page, source notes, Organization structured data, and a sitemap meet the conditions for AI to cite the hub as a source. Only content that passed the clinic’s internal review goes live, with no comparisons and no guaranteed results.

4. One subdomain per clinic under one domain. The first hub’s information architecture and publishing rules became a template, applied the same way to a second clinic (unnamed here until its public release). The second hub adds a director interview section.

Result

The first hub runs as the official guide site of a clinic under an MOU and will enter search results after the clinic signs off. The same template opened a second hub, so the information architecture and publishing rules stay the same from clinic to clinic. The hub is the build stage that follows the AI answer readiness diagnosis of INFINITH.