Last refreshed 2026-06-01
Based on 2 AI engines across 1 buyer language.
AI Readiness pillars
How Shenzhen Senovat Sports Technology 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引擎对深圳市赛诺瓦特运动科技有限公司(中国医药供应商)的信息掌握非常有限。在近期的查询中,该公司综合评分为100分中的32分(暗信号),其中最强维度为"身份与存在感",得分为100分中的80分,最弱维度为"买家信任度",得分为100分中的0分。2个AI引擎(共测试2个:Claude Sonnet、deepseek-chat)在身份、采购及信任相关提示词方面均返回了关于该公司的实质性信息。AI引擎未能列出该供应商的任何具体产品,这直接影响了"产品清晰度"维度的评分,该维度得分为100分中的10分。AI引擎引用的认证及信任指标包括:GMP(药品生产质量管理规范)、WHO GMP(世界卫生组织药品生产质量管理规范)、CFDA(国家食品药品监督管理总局)。最大的改进机会在于"买家信任度"维度,下方的改进路线图按预期得分提升幅度列出了供应商可执行的具体行动,并按优先级排序。
AI engine breakdown
One row per AI engine. Aggregates identity, sourcing, trust, and verdict queries.
| AI Engine | Found | Sentiment | Rating | Products mentioned | Certifications |
|---|---|---|---|---|---|
| Claude Sonnet | 2 / 4 | negative | n/a | None | None |
| DeepSeek | 1 / 4 | negative | n/a | None | GMP, WHO GMP, CFDA |
Improvement Roadmap
Concrete actions to lift this supplier's Signal Score, ranked by impact. Generated from the latest audit.
- 1
Register on pharmaceutical industry directories with verified business classification
+18 ptsList the company on GlobalDossier, Pharmafile, or similar B2B pharmaceutical directories under the correct therapeutic category and manufacturing/supply capability. This increases AI discovery beyond name-only searches and establishes pharmaceutical sector legitimacy. Resolves the critical mismatch between 'Sports Technology' branding and actual pharmaceutical operations.
Identity & PresenceMedium effort
- 2
Publish structured product catalog with active pharmaceutical ingredient (API) or finished goods specifications
+25 ptsCreate a dedicated product page listing each pharmaceutical product by generic name, indication, strength, and form (tablet, injection, etc.), with datasheets accessible to AI indexing. Include HSN/HS codes or relevant regulatory classification to signal legitimate pharmaceutical business. This directly addresses AI's inability to identify any specific products.
Product ClarityHigh effort
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