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Digital Readiness Scorecard · 2026

Ferguson

58 / 100

Exactly the measured median across 32 measured distributors

Index rank
#9
Revenue
$31.3B · CY2025
Archetype
Scale Aggregator
Median attributes
0
Consistency spread
0 attrs
Pages sampled
2/5
What this is, precisely. A score computed from five product pages sampled from Ferguson’s public catalog on 2026-08-06, plus a probe of the site’s robots.txt, sitemap, and server-rendered markup. It is not an audit of the full catalog, and it says nothing about how the business is run — several of the strongest operators in distribution score modestly here. Data passed privately to customers over EDI, punchout, or a syndication feed is not visible to this measurement and does not count toward it.

The four pillars

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

Product Data Depth11 / 35

Can a machine tell what this product is and match it to the same product elsewhere?

Buyer Answerability19.5 / 25

Does the page answer what a buyer actually asks before they commit?

Commerce Transparency14 / 20

Can a buyer find out what it costs and whether it ships, without asking a human?

Machine & Agent Readiness13 / 20

Can a crawler, a marketplace, or an AI shopping agent actually consume any of it?

What the site probe found

Product structured data

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.

Sitemap

Valid sitemap resolved, declared in robots.txt

Crawler access to products

Product paths are crawlable under the general user-agent rules

AI crawler stance

No AI-crawler rules in robots.txt, so they are permitted by default

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.

Product pageAttributesImagesPage score
www.ferguson.com/product/proflo-3%2F4.-copper-press-tee-pfxpptf/10240769.html0332/69
www.ferguson.com/product/state-proline-50-gal.-tall-4.5kw-2-element-electric-water-heater-sen650dort45/5076652.html0235/69

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.

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 0 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 0% 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.

Think this is wrong?

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.

Talk it throughGrade any page yourself, freeRead our Ferguson teardown →