Vidrios San Miguel Coop V
ES · Environmental Protection · Est. 1986 · vsanmiguel.com
Last refreshed 2026-06-01
Based on 3 AI engines across 1 buyer language.
AI Readiness pillars
How Vidrios San Miguel Coop V 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 Vidrios San Miguel Coop V, a Environmental Protection supplier in es. Across recent queries the company scored 56 out of 100 (Weak Signal), with the strongest dimension being Identity and Presence at 80 out of 100 and the weakest Buyer Trust at 0 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 glass products. No certifications or third-party validations surfaced in AI responses, which limits the Buyer Trust dimension at 0 out of 100 and the AI Recommendation Rate at 70 out of 100. The biggest opportunity for improvement is the Buyer Trust 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 | 0 / 4 | not found | — | None | None |
| Gemini 2.5 Flash | 1 / 4 | neutral | — | glass products | None |
| DeepSeek | 2 / 4 | neutral | — | glass products | None |
Improvement Roadmap
Concrete actions to lift this supplier's Signal Score, ranked by impact. Generated from the latest audit.
- 1
Publish third-party certifications and compliance documentation
+28 ptsCreate a dedicated Certifications page listing ISO, environmental, or industry-specific certifications with scanned proof documents. This directly addresses AI's inability to verify legitimacy and certification status, which is the primary blocker to buyer trust scoring.
Buyer Trust SignalsMedium effort
- 2
Build structured product catalog with specifications and applications
+18 ptsDocument each glass product type with technical specs, dimensions, certifications, and use cases in a publicly accessible format (PDF catalog or web pages). AI systems currently only recognize 'glass products' generically; clarity on product range and standards will improve recommendation likelihood.
Product ClarityMedium effort
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