Digital Readiness Scorecard · 2026
Avnet
1 point below the median of 58 across 37 measured distributors
- Index rank
- #16
- Revenue
- $22.2B · FY2025
- Archetype
- Scale Aggregator
- Median attributes
- 12
- Consistency spread
- 20 attrs
- Pages sampled
- 5/5
Scored from 5 product pages sampled across different categories of the public catalog — it characterises the catalog, it does not audit it. The exact pages are listed below, openable. Because this site blocks standard clients, page-level signals were measured in a full browser session on the same sampled pages; the Machine & Agent Readiness pillar is still scored from what a standard client can retrieve.
How to read this score
A score computed from five product pages sampled from Avnet’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.
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?
What the site probe found
No JSON-LD found in the HTML a crawler receives
Valid sitemap resolved, declared in robots.txt
Product paths are crawlable under the general user-agent rules
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.
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 — Buyer Answerability lost the most points.
- 1Attribute depth is the largest single lever in the framework and the median sampled page carried 12 structured attributes. Getting a typical page to 15 or more moves this score more than any other change.
- 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.
- 3No schema.org Product markup was found in the server-rendered HTML. This is usually the cheapest fix on the list and it is the single clearest signal to a crawler or an AI agent that the page describes a product.
- 4The richest and thinnest pages sampled differed by 20 attributes. A spread that wide usually points at categories onboarded under different rules rather than at any one bad page.
Show this score
Measured companies are welcome to embed their badge — it links back to this scorecard, which is re-measured each edition, so the number stays live rather than becoming a stale claim.
<a href="https://www.anglera.com/top-distributors-2026/scorecard/avnet">
<img src="https://www.anglera.com/badges/dri-2026/avnet.svg"
alt="Anglera Digital Readiness Index 2026: 57/100" height="28" />
</a>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.