Last refreshed 2026-06-01
Based on 3 AI engines across 1 buyer language.
AI Readiness pillars
How Tominaga Boeki Kaisha,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 a strong, consistent picture of Tominaga Boeki Kaisha,LTD, a Beverages supplier in jp. Across recent queries the company scored 82 out of 100 (Strong Signal), with the strongest dimension being AI Recommendation Rate at 100 out of 100 and the weakest Product Clarity at 55 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. Products surfaced by AI include beverages, food & beverage. No certifications or third-party validations surfaced in AI responses, which limits the Buyer Trust dimension at 70 out of 100 and the AI Recommendation Rate at 100 out of 100. The Improvement Roadmap below outlines how to close remaining gaps and push every dimension toward Strong Signal.
AI engine breakdown
One row per AI engine. Aggregates identity, sourcing, trust, and verdict queries.
| AI Engine | Found | Sentiment | Rating | Products mentioned | Certifications |
|---|---|---|---|---|---|
| Claude Haiku | 0 / 4 | not found | — | None | None |
| Gemini 2.5 Flash | 3 / 4 | neutral | — | Beverages, Food & Beverage | None |
| DeepSeek | 1 / 4 | neutral | — | None | None |
Improvement Roadmap
Concrete actions to lift this supplier's Signal Score, ranked by impact. Generated from the latest audit.
- 1
Document specific beverage product lines on corporate website
+22 ptsCreate a dedicated Products or Catalog page listing specific beverage types (e.g., juices, soft drinks, alcoholic beverages, tea, coffee) with brief descriptions and any regional availability. AI systems currently recognize only generic 'Beverages' and 'Food & Beverage' categories; specific product taxonomy dramatically improves match accuracy for buyer searches and AI recommendations.
Product ClarityMedium effort
- 2
Publish third-party certifications and compliance documentation
+18 ptsIdentify and display ISO, food safety (FSSC 22000, HACCP), quality, or regulatory certifications relevant to beverage production on an About or Compliance page. Even a single visible certification significantly boosts AI-detected trust signals and buyer confidence in supplier reliability.
Buyer Trust SignalsLow effort
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