Digital Readiness Scorecard · 2026
10 points below 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?
No JSON-LD found in the HTML a crawler receives
Valid sitemap resolved at the conventional path
Product paths are crawlable under the general user-agent rules
No AI-crawler rules in robots.txt, so they are permitted by default
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 |
|---|---|---|---|
| store.dxpe.com/item/DOD%20434722 | 6 | 1 | 30/69 |
| store.dxpe.com/item/TECO%20T41603 | 13 | 1 | 19.5/69 |
| store.dxpe.com/item/WOODH%20WT6C-25 | 11 | 1 | 27.5/69 |
| store.dxpe.com/item/ISC%2018109157 | 16 | 1 | 29/69 |
| store.dxpe.com/item/MOTOR%20M-60 | 11 | 1 | 21.5/69 |
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.