Last refreshed 2026-05-31
Based on 3 AI engines across 1 buyer language.
AI Readiness pillars
How Shincoki 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 Shincoki Co.,Ltd., a Costume & Fashion Jewellery supplier in jp. Across recent queries the company scored 30 out of 100 (Dark Signal), with the strongest dimension being Identity and Presence at 80 out of 100 and the weakest Product Clarity at 10 out of 100. 2 AI engines (out of 3 tested: Claude Haiku, gemini-2.5-flash, 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 20 out of 100 and the AI Recommendation Rate at 20 out of 100. The biggest opportunity for improvement is the Product Clarity 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 | 1 / 4 | not found | — | None | None |
| Claude Haiku | 1 / 4 | not found | — | None | None |
| Gemini 2.5 Flash | 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
Document and publish specific product categories with materials and specifications
+18 ptsCreate a structured product catalog page listing costume jewelry types (e.g., necklaces, bracelets, earrings) with material compositions (alloy, resin, glass) and size/weight specs. AI systems extract product details from clear, organized content; currently zero products are recognized. This directly improves product clarity scoring and AI recommendation likelihood.
Product ClarityMedium effort
- 2
Add JSON-LD schema markup for Organization and Product on homepage
+15 ptsImplement structured data markup (schema.org) on your website header to declare company name, category (FashionJewelry), contact, and product types. Search engines and AI indexers use this metadata to understand and rank your business. Low-lift technical addition with compounding discovery benefits.
AI Recommendation RateLow effort
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