Aggregate AI readiness comparison across 3763 production sites. This compares all sites built on each framework, not the framework websites themselves.
Django Ruby on Rails
Across 3763 crawled sites, Ruby on Rails outperforms Django in aggregate AI visibility—winning 6 of 8 metrics in this architectural benchmark. Django delivers a 52% leaner Token Bloat ratio (7.3× vs 15.1×), meaning AI systems can extract content more cost-effectively from Django-powered sites. On schema coverage, Ruby on Rails averages 1.5 structured data types per site vs 0.6 for Django—2.5× more out-of-the-box schema markup. Note: These are aggregate statistics across 1268 Django and 2495 Ruby on Rails production deployments. Your specific implementation may differ—run a free scan to check.
| Metric | Django (n=1268) | Ruby on Rails (n=2495) | Δ% | Winner |
|---|---|---|---|---|
| ACRI Score | 47.5 | 49.0WIN | 3% | Ruby on Rails |
| AI Readiness | 64.3 | 67.0WIN | 4% | Ruby on Rails |
| Token Bloat | 7.3×WIN | 15.1× | 52% | Django |
| Ghost Ratio | 0% | 0%WIN | 0% | Ruby on Rails |
| Schema Coverage | 0.6 | 1.5WIN | 60% | Ruby on Rails |
| Schema Adoption | 15%WIN | 15% | 4% | Django |
| GPTBot Access | 90% | 93%WIN | 3% | Ruby on Rails |
| Structure Score | 7.2 | 8.2WIN | 11% | Ruby on Rails |
These are aggregate stats across thousands of sites. Your specific Django or Ruby on Rails implementation may outperform or underperform the average.