Made in Japan Software Consortium

What AI says

AI engines have a partial picture of Made in Japan Software Consortium, a Education & Training supplier in jp. Across recent queries the company scored 59 out of 100 (Weak Signal), with the strongest dimension being Identity and Presence at 80 out of 100 and the weakest Buyer Trust at 0 out of 100. 3 AI engines (out of 4 tested: GPT-4o mini, Claude Haiku, gemini-2.5-flash, deepseek-chat) returned substantive information about the company across identity, sourcing, and trust prompts. Products surfaced by AI include education & training, information technology, professional services. 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 70 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 structured data markup on website

   +12 pts

   Implement schema.org markup on your website to enhance discoverability by AI. This will help search engines understand your business better and improve your visibility in search results.

   Identity & Presence · Medium effort

2. 2

   Obtain and publish client testimonials

   +30 pts

   Collect and showcase testimonials from existing clients to establish credibility. Positive feedback will serve as social proof and enhance buyer trust signals.

   Buyer Trust Signals · Medium effort

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