Last refreshed 2026-06-01
Based on 3 AI engines across 1 buyer language.
AI Readiness pillars
How Baiyi Lighting (Shanghai) Holdings Limited 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引擎对中国灯具供应商百亿照明(上海)控股有限公司的了解并不全面。综合近期查询结果,该公司综合得分为100分中的54分(信号较弱),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"AI推荐率",得分为100分中的20分。在3个测试的AI引擎(Claude Haiku、gemini-2.5-flash、deepseek-chat)中,有2个针对身份、采购及可信度相关提示返回了关于该公司的实质性信息。AI呈现的产品包括灯具、LED及光源。AI引用的认证及可信度指标包括:ISO 9001(质量管理体系国际标准)、CE(欧盟合格认证)、UL(美国安全认证)。当前最大的改进机会在于"AI推荐率"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,并已按优先级排序。
AI engine breakdown
One row per AI engine. Aggregates identity, sourcing, trust, and verdict queries.
| AI Engine | Found | Sentiment | Rating | Products mentioned | Certifications |
|---|---|---|---|---|---|
| Claude Haiku | 1 / 4 | not found | n/a | Lights | ISO 9001, CE, UL |
| Gemini 2.5 Flash | 0 / 4 | not found | n/a | None | None |
| DeepSeek | 2 / 4 | positive | n/a | LEDs, lamps, commercial and industrial lighting products | CE, RoHS, ISO 9001:2015 |
Improvement Roadmap
Concrete actions to lift this supplier's Signal Score, ranked by impact. Generated from the latest audit.
- 1
Publish third-party audit certificates with verifiable issuer attribution
+18 ptsCreate a dedicated Certifications page listing ISO 9001:2015, CE, UL, CCC, IEC, and RoHS with direct links to issuing body verification portals or scanned certificates bearing issuer logos and dates. AI systems weight independent audits heavily when they can confirm authenticity; unlinked claims are treated as unverified. This directly addresses the 'no publicly attributed audits' gap and signals reliability to procurement algorithms.
AI Recommendation RateMedium effort
- 2
Establish verified buyer testimonials on LinkedIn and industry platforms
+16 ptsSolicit 3-5 short case studies or endorsements from existing customers (with company names and titles) and post them to LinkedIn Company page and Alibaba/Global Sources profiles. AI recommendation engines require social proof; the current lack of verifiable reviews is a major suppression factor. Even anonymized testimonials citing measurable outcomes (e.g., 'Reduced fixture replacement cost by 20%') significantly lift recommendation scores.
Digital FootprintMedium effort
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