Yuma Koshino

What AI says

AI engines have very limited information about Yuma Koshino, a Fashion supplier in jp. Across recent queries the company scored 26 out of 100 (Dark Signal), with the strongest dimension being Identity and Presence at 80 out of 100 and the weakest Buyer Trust at 0 out of 100. 2 AI engines (out of 3 tested: GPT-4o, Claude Sonnet, deepseek-chat) returned substantive information about the company across identity, sourcing, and trust prompts. No specific products were surfaced by AI engines for this supplier, which contributes directly to the Product Clarity dimension at 10 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 20 out of 100. The biggest opportunity for improvement is the Buyer Trust 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

   Create LinkedIn Company Profile

   +12 pts

   Set up a LinkedIn Company Profile to enhance visibility. This will improve discoverability and enable potential buyers to find basic information about the company.

   Identity & Presence · Low effort

2. 2

   Obtain a Third-Party Endorsement

   +25 pts

   Acquire a third-party endorsement or certification from a recognized entity in the fashion industry. This adds credibility and improves buyer trust signals significantly.

   Buyer Trust Signals · High effort

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