Verify AI Knows Your Medical Product: yoyolink Case

When mainland buyers ask "Does yoyolink have an official website?" or "Is the yoyolink GI endoscopy AI software any good?", their first answer no longer comes from a search engine — it comes from AI assistants such as Doubao. If AI answers "this brand doesn't exist, has no official website and is just an algorithm framework," the brand disappears inside the answer.

That was exactly the problem facing yoyolink (Qiangji Medical) and its GI endoscopy AI-assisted diagnostic system. Using this published real case, this article breaks down how GNS-GEO detected the errors, built an official source of information, and turned Doubao's wrong description into a correct one within seven days.

Four typical AI errors for medical brands

In the yoyolink case, AI answers contained four typical errors:

• Wrong brand name: the brand was written as "YOLO-LINK"
• Missing official website: AI said "no official website"
• Wrong registration facts: AI said "no medical device registration certificate, no clinical validation"
• Wrong product positioning: AI described a complete system as "just an algorithm framework"

Five steps: from discovery to correction

Step 1: AI citation audit

Ask AI the real questions buyers use, such as "Does yoyolink have an official website?" and "Is the yoyolink GI endoscopy AI software any good?" Record whether the brand is mentioned, what is said, which sources are cited, and the ranking — with dated screenshots as evidence.

Step 2: Gap analysis

Compare AI answers item by item against official facts: brand name, official website, medical device registration certificate, clinical validation, system functions and compatibility. The gap list becomes the priority order for content restructuring.

Step 3: Build an official source fast

Launching a mainland medical instrument on a mainland website normally means at least a month of filing and approval. GNS-GEO used a Hong Kong fast-launch strategy instead, taking yoyolink live within one week (25 Aug 2026) so the product had an official, citable source immediately while mainland filing ran in parallel.

Step 4: Restructure content for AI

Organize product facts into a clear structure AI can understand and cite:

• All-in-one hardware-plus-software workstation
• Innovative medical device registration certificate obtained
• 1,000+ clinical cases validated (major hospitals in Shanghai)
• Complete system: application server + database + image capture + client
• Compatible with Olympus, Fujifilm, PENTAX and other mainstream endoscope brands
• On-premise edge inference — data stays inside the hospital
• Quality control: withdrawal time, Boston bowel-preparation score, coverage inspection
• HIS/PACS integration with a closed security loop

Step 5: Monitor and refine daily

After launch, monitor Doubao's answers daily and refine content until the wrong description is replaced by the correct one — completed on 31 Aug in this case.

Result: a verifiable seven-day correction

From 26 Aug (before) to 31 Aug (after), Doubao's answers changed in three ways: the brand name was corrected, the official website and system functions were correctly described, and negative wording (no registration, no clinical evidence, just an algorithm) was removed. The screenshots and queries are reproducible — see the full yoyolink case study and the news update.

The same method applies to other medical projects

Whether it is medical devices, imaging AI, pharma or medical services, the verification loop is the same: build a buyer question set → audit AI answers → analyze gaps against official facts → launch an official source → restructure content for AI → monitor weekly. To see how AI currently describes your brand, start with the free AI visibility report.