Reece USA

The four pillars

Scored against the published framework — fourteen signals, no model judgement anywhere in the scoring.

What the site probe found

The pages we sampled

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.

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.

What would move this number

Derived from the score itself, largest gap first — Product Data Depth lost the most points.

1. 1Attribute depth is the largest single lever in the framework and the median sampled page carried 9 structured attributes. Getting a typical page to 15 or more moves this score more than any other change.
2. 2A GTIN or UPC appeared on 75% of the sampled pages. Identifiers are what let a marketplace, a search engine, or a procurement system recognise your listing as the same item everyone else is selling.
3. 3Bot protection returned no readable page to a standard browser client, so structured data could not be observed at all. Whatever markup exists behind that wall, a crawler or shopping agent hits the same barrier — which is worth weighing against what the protection is buying.
4. 4No valid sitemap resolved from robots.txt or the conventional path, which makes deep catalog pages materially harder for a crawler to discover at all.
5. 5The richest and thinnest pages sampled differed by 13 attributes. A spread that wide usually points at categories onboarded under different rules rather than at any one bad page.
6. 6A price was published on 75% of sampled pages. Withholding price is a legitimate commercial strategy, and it is also a hard stop for any automated buyer comparing options.