G2 calculates a composite AI Users Trust score based on a weighted average of responses to eight questions reviewers answer after they have confirmed that they used a product's AI features. The questions, which launched in June 2026, are grouped across four dimensions:
| Dimension |
Weight |
| Accuracy & Reliability |
High |
| Data Privacy & Control |
High |
| Transparency & Explainability |
Medium |
| Overall Trust |
Low |
All questions are rated on a 1–5 scale. Scores incorporate every available response across those questions. A review contributes to the composite score even if the reviewer only answered some of them. Administrator-only and open-text questions are not included in the composite score.
For the AI Users Trust Badges, ratings are aggregated using Bayesian Averages, which reward products that earn strong ratings consistently across a larger volume of reviews. In this approach, each question's average is adjusted toward the global average for that question, with the adjustment shrinking as a product accumulates more responses. This means scores that are based on a smaller number of reviews are not treated with the same confidence as scores backed by many reviews.
The four sub-dimensions are weighted to prioritize measurable signals over broader sentiment. Accuracy, reliability, privacy controls, and transparency can be demonstrated through specific user interactions. Overall trust, by contrast, captures a generalized feeling that tends to correlate closely with those other dimensions.