Qomvia
55GRADE D

Is Intersport agent-ready?

intersport.at · scanned 2026-08-29 · rubric v1.0.0 · 23 read-only requests

How this is measured

Score by dimension

  • Machine access25/25
  • Product data legibility17/25
  • Agent-commerce protocols0/20
  • Checkout traversability5/15
  • Agent-facing performance8/10
  • Policy clarity0/5

Score history

First scan. Re-scan in a month to see whether anything moved.

What we measured

Machine access

25 pts
  • passrobots.txt allows AI crawlers10/10

    All checked AI crawlers are allowed on /.

  • passProduct paths are crawlable5/5

    Product path /p/under-armour-tech-pixelate-t-shirt-iic.underarmour.6014722.481.html is crawlable by all checked agents.

  • passServes content to a non-browser user agent6/6

    Same content is served to a declared crawler and to a browser.

  • passContent is server-rendered4/4

    3065 characters of text in raw HTML.

Product data legibility

25 pts
  • passValid Product structured data8/8

    Product node found with name, image, description.

  • passOffer with price, currency and availability7/7

    Offer exposes price, priceCurrency, availability.

  • partialStable product identifiers2/3

    Identifiers: mpn, sku.

    Fix: Publish gtin13, mpn or sku in your Product JSON-LD.

  • failCategory pages expose an ItemList0/3

    No ItemList on the discovered category page.

    Fix: Add ItemList JSON-LD with product URLs to category and search pages.

  • failMachine-readable product feed0/4

    No product feed found at the conventional locations.

    Fix: Publish a products.json / Google Merchant feed and link it from robots.txt or /.well-known.

Agent-commerce protocols

20 pts
  • failAgentic Commerce Protocol support0/7

    No ACP or agentic-checkout endpoint detected.

    Fix: Expose an ACP feed/checkout endpoint or enable your platform's agentic-checkout integration.

  • failllms.txt guidance file0/5

    No llms.txt found.

    Fix: Publish /llms.txt listing catalogue entry points, feeds, policies and contact.

  • failMCP or A2A discovery document0/5

    No MCP or A2A discovery document found.

    Fix: Publish /.well-known/mcp.json or /.well-known/agent.json describing your endpoints.

  • failMachine-payable endpoint signals (x402 / AP2)0/3

    No x402 or AP2 signals detected.

    Fix: If you sell digital access, return 402 with x402 headers; otherwise adopt AP2 mandates via your PSP.

Checkout traversability

15 pts
  • failCart or checkout entry point is reachable1/5

    Cart URL returns HTTP 404.

    Fix: Expose a stable /cart URL that renders without JavaScript and is not disallowed in robots.txt.

  • partialNo forced login before checkout4/6

    No login wall detected, but guest checkout is not stated explicitly.

    Fix: Offer guest checkout and defer account creation until after the order.

  • unknownCheckout forms are semantically labelled0/4

    No form fields rendered server-side to assess.

    Fix: Add standard autocomplete attributes (given-name, postal-code, email …) to checkout inputs.

Agent-facing performance

10 pts
  • partialTime to first byte2/4

    TTFB 995 ms.

    Fix: Cache HTML at the edge for anonymous requests, including declared crawlers.

  • passHTML payload size2/2

    Homepage HTML 362 KB.

  • passSitemap is discoverable and structured4/4

    1 sitemap file(s), 80 URLs listed, declared in robots.txt.

Policy clarity

5 pts
  • failStated automated-access policy0/3

    No automated-access or AI policy found.

    Fix: Publish an AI/automated-access policy page and reference it from llms.txt and robots.txt.

  • failMachine-readable contact / API surface0/2

    No security.txt or API description found.

    Fix: Publish /.well-known/security.txt and an openapi.json or documented API endpoint.

Embed the badge

The badge updates automatically on every re-scan, so it always shows your current score.

Agent-readiness score 55 out of 100
<a href="https://qomvia.com/site/intersport-at"><img src="https://qomvia.com/badge/intersport-at.svg" alt="Agent-readiness score 55/100" width="200" height="40"></a>

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Scores are computed from public HTTP responses only. We never submit forms, never attempt a purchase and never bypass a bot challenge. Disagree with a result? Request a correction.