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 engines have a partial picture of Baiyi Lighting (Shanghai) Holdings Limited, a Lights supplier in cn. Across recent queries the company scored 54 out of 100 (Weak Signal), with the strongest dimension being Identity and Presence at 80 out of 100 and the weakest AI Recommendation Rate at 20 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 lights, leds, lamps. Certifications and trust indicators referenced by AI: iso 9001, ce, ul. 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 |
|---|---|---|---|---|---|
| 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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