Urai Co Ltd

What AI says

AI engines have very limited information about Urai Co Ltd, a Fine Jewellery supplier in jp. Across recent queries the company scored 11 out of 100 (Dark Signal), with the strongest dimension being Digital Footprint at 70 out of 100 and the weakest AI Recommendation Rate at 0 out of 100. None of the 3 tested AI engines (Claude Haiku, gemini-2.5-flash, deepseek-chat) returned substantive information about the company, even when queried by name, category, or domain. No specific products were surfaced by AI engines for this supplier, which contributes directly to the Product Clarity dimension at 0 out of 100. No certifications or third-party validations surfaced in AI responses, which limits the Buyer Trust dimension at 0 out of 100 and the AI Recommendation Rate at 0 out of 100. The biggest opportunity for improvement is the AI Recommendation Rate dimension; the Improvement Roadmap below lists concrete supplier-executable actions ranked by expected score uplift.

AI engine breakdown

One row per AI engine. Aggregates identity, sourcing, trust, and verdict queries.

Improvement Roadmap

Concrete actions to lift this supplier's Signal Score, ranked by impact. Generated from the latest audit.

1. 1

   Register company on Google Business Profile and LinkedIn

   +18 pts

   Create a verified Google Business Profile with complete company details (address, phone, business hours) and establish a LinkedIn Company page with company description and industry classification. AI systems use these canonical sources for entity recognition; zero current discoverability suggests these foundational profiles are missing.

   Identity & Presence · Low effort

2. 2

   Add structured product schema markup to website

   +16 pts

   Implement Schema.org Product markup on website pages listing jewellery collections, including product name, description, image, material composition, and price where applicable. This enables AI systems to extract and understand specific offerings; currently zero product mentions suggests missing semantic markup.

   Product Clarity · Medium effort

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