Digital Readiness Scorecard · 2026
8 points above the median of 58 across 32 measured distributors
Scored against the published framework — fourteen signals, no model judgement anywhere in the scoring.
Can a machine tell what this product is and match it to the same product elsewhere?
Does the page answer what a buyer actually asks before they commit?
Can a buyer find out what it costs and whether it ships, without asking a human?
Can a crawler, a marketplace, or an AI shopping agent actually consume any of it?
Server HTML could not be retrieved by a standard client — bot protection returned no readable page, so no markup was observable either way. Scored as unreadable, not as absent.
Valid sitemap resolved, declared in robots.txt
Product paths are crawlable under the general user-agent rules
Explicitly blocks 5 named AI crawler(s) — a deliberate choice, scored as such
Every one, openable. Each was taken from the middle of a different category listing — never a featured or promoted placement — so the sample reflects the catalog rather than its best shelf.
| Product page | Attributes | Images | Page score |
|---|---|---|---|
| www.grainger.com/product/3M-Safety-Glasses-Clear-Lens-5JDW7 | 33 | 9 | 56/69 |
| www.grainger.com/product/ABILITY-ONE-General-Purpose-Hand-Truck-487V30 | 47 | 1 | 44/69 |
Page score is out of 69 — the portion of the framework scored per page. The remaining 31 points are site-level: consistency, gating, and the four agent-readiness signals.
Derived from the score itself, largest gap first — Buyer Answerability lost the most points.
Good — that is the useful conversation. The pages we sampled are listed above, so the first thing to do is open them. If the sample missed something, if a category we hit is genuinely unrepresentative, or if your catalog has changed since 2026-08-06, tell us and we re-run the measurement against your live site. Scores are never adjusted by hand — only recomputed.