Last refreshed 2026-06-01
Based on 3 AI engines across 1 buyer language.
AI Readiness pillars
How Nakamura Co.,Ltd. performs against the three pillars buyers care about when sourcing via AI.
Weight 40% · Do multiple AI engines recognise you and tell a consistent story
Weight 30% · When buyers ask AI to source in your niche, do you come up
Weight 30% · How AI engines rate you on quality, reliability, pricing
What AI says
AI engines have very limited information about Nakamura Co.,Ltd., a Fine Jewellery supplier in jp. Across recent queries the company scored 34 out of 100 (Dark Signal), with the strongest dimension being Identity and Presence at 60 out of 100 and the weakest AI Recommendation Rate at 0 out of 100. One AI engine (out of 3 tested: 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 fine jewellery. No certifications or third-party validations surfaced in AI responses, which limits the Buyer Trust dimension at 20 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.
| AI Engine | Found | Sentiment | Rating | Products mentioned | Certifications |
|---|---|---|---|---|---|
| DeepSeek | 2 / 4 | neutral | — | Fine Jewellery | None |
| Gemini 2.5 Flash | 0 / 4 | not found | — | None | None |
| Claude Haiku | 0 / 4 | not found | — | None | None |
Improvement Roadmap
Concrete actions to lift this supplier's Signal Score, ranked by impact. Generated from the latest audit.
- 1
Create structured product data markup on website homepage
+28 ptsAdd JSON-LD schema for Organization and Product types to your homepage, specifying company name, location, contact, and 3-5 flagship jewellery product categories with descriptions. This enables AI systems to extract and recommend your offerings with confidence. Currently AI finds you by name only; structured data makes your products discoverable in B2B recommendation flows.
AI Recommendation RateMedium effort
- 2
Publish craft credentials and production standards on dedicated page
+22 ptsCreate a publicly visible page documenting your manufacturing process, artisan qualifications, materials sourcing, and any informal or formal quality controls (e.g., weight/purity verification, design copyright practices). B2B jewellery buyers verify authenticity and craftsmanship; absence of these signals depresses trust scores significantly.
Buyer Trust SignalsMedium effort
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