AI audit vs rubric — Alibaba
An independent Workers AI LLM scored Alibaba against the same published rubric. The deterministic rubric result is our canonical score. The LLM's result is shown here as a sanity check — never mixed into the scoring formula.
| Dimension | Rubric | LLM | Δ (LLM − Rubric) |
|---|---|---|---|
| Pricing transparency | 72 | 20 | -52 |
| Business transparency | 85 | 95 | +10 |
| Shipping clarity | 70 | 40 | -30 |
| Public reviews | 74 | 74 | 0 |
| Product range | 95 | 92 | -3 |
| Access & onboarding | 95 | 90 | -5 |
| Support track record | 60 | 60 | 0 |
| Store integrations | 55 | 0 | -55 |
| Overall | 77 | 65 | -12 |
What this means: Moderate disagreement — rubric bands may need tightening. Median per-dimension |Δ| is between 5 and 15.
Median per-dimension |Δ| = 7.5.
Pricing transparency is low becausepegawai source prices are not visible. Business transparency is high because Alibaba is publicly listed and has audited statements. Shipping clarity is low because origins and delivery windows are not per region. Review score is based on a fallback value. Product range is estimated to be 100M+ SKUs. Access is free with no signup required. Support is mostly positive with few complaints. Integration is manual/API only.This is the LLM's own explanation, not editorial commentary from SupplierSpy. The LLM result is a sanity check on the rubric — never mixed into the scoring formula.