AI audit vs rubric — AI Dropship
An independent Workers AI LLM scored AI Dropship 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 | 84 | 80 | -4 |
| Business transparency | 25 | 25 | 0 |
| Shipping clarity | 80 | 85 | +5 |
| Public reviews | 80 | 75 | -5 |
| Product range | 62 | 55 | -7 |
| Access & onboarding | 85 | 75 | -10 |
| Support track record | 75 | 75 | 0 |
| Store integrations | 55 | 40 | -15 |
| Overall | 69 | 63 | -6 |
What this means: Strong agreement — the rubric appears well-specified. Median per-dimension |Δ| ≤ 5.
Median per-dimension |Δ| = 5.
Pricing transparency is 80 due to the starting price being published. Business transparency is 25 because the company is private and only has an about page. Shipping clarity is 85 because origins are stated per region. Review score is 75 due to 4.3-4.7 stars across 500+ reviews. Product range is 55 because there are 10K+ SKUs. Access is 75 because there is a free plan with signup. Support is 75 because there is mostly positive feedback. Integration is 40 because there is only one platform.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.