Benchmarks and research
Ecommerce AI Readiness Score: What It Should Measure
A useful AI readiness score should combine technical surfaces with scenario outcomes and rerun proof.
Updated June 6, 2026 · 7 min
Short answer
An ecommerce AI readiness score should measure whether agents can complete buying scenarios, not only whether the site has machine-readable files.
- Storefront evidence.
- Protocol readiness.
- Scenario success.
- Repeated-run stability.
Bad score design
Scores become misleading when they compress unrelated inputs without showing the buyer outcome behind them.
- Avoid unexplained single-number grades.
- Show source evidence.
- Separate inputs from outcomes.
- Track rerun movement.
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