Qomvia
57GRADE D

Is Caran-dache agent-ready?

caran-dache.com · scanned 2026-08-29 · rubric v1.0.0 · 17 read-only requests

How this is measured

Score by dimension

  • Machine access13/25
  • Product data legibility4/25
  • Agent-commerce protocols20/20
  • Checkout traversability9/15
  • Agent-facing performance8.5/10
  • Policy clarity2/5

Score history

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

What we measured

Machine access

25 pts
  • failrobots.txt allows AI crawlers3/10

    Blocked on /: GPTBot, ClaudeBot, Google-Extended, Applebot-Extended, meta-externalagent.

    Fix: Allow the shopping-relevant AI user agents on your public catalogue paths in robots.txt.

  • failProduct paths are crawlable0/5

    Product path /products/ is disallowed for GPTBot, ClaudeBot, Google-Extended, Applebot-Extended, meta-externalagent.

    Fix: Remove disallow rules covering product detail and category paths.

  • 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

    4905 characters of text in raw HTML.

Product data legibility

25 pts
  • unknownValid Product structured data0/8

    No product page could be discovered from the homepage.

    Fix: Emit schema.org Product JSON-LD with name, image, description and sku on every product page.

  • unknownOffer with price, currency and availability0/7

    No product page could be discovered.

    Fix: Add an Offer with price, priceCurrency and availability to your Product JSON-LD.

  • unknownStable product identifiers0/3

    No product page could be discovered.

    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.

  • passMachine-readable product feed4/4

    Feed available at /products.json.

Agent-commerce protocols

20 pts
  • passAgentic Commerce Protocol support7/7

    ACP endpoint responding: /.well-known/agentic-commerce.json, /.well-known/acp.json.

  • passllms.txt guidance file5/5

    Both llms.txt and llms-full.txt are published.

  • passMCP or A2A discovery document5/5

    Discovery document at /.well-known/mcp.json, /.well-known/agent.json, /.well-known/agent-card.json.

  • passMachine-payable endpoint signals (x402 / AP2)3/3

    x402/AP2 signal detected.

Checkout traversability

15 pts
  • failCheckout forms are semantically labelled0/4

    No autocomplete attributes on rendered form fields.

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

  • passCart or checkout entry point is reachable5/5

    Cart reachable at /.

  • 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.

Agent-facing performance

10 pts
  • passTime to first byte4/4

    TTFB 375 ms.

  • passHTML payload size2/2

    Homepage HTML 43 KB.

  • partialSitemap is discoverable and structured2.5/4

    1 sitemap file(s), 54 URLs listed, not declared in robots.txt.

    Fix: Reference an XML sitemap index from robots.txt and keep each file under 50k URLs.

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.

  • passMachine-readable contact / API surface2/2

    Found /.well-known/security.txt, /openapi.json.

Embed the badge

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

Agent-readiness score 57 out of 100
<a href="https://qomvia.com/site/caran-dache-com"><img src="https://qomvia.com/badge/caran-dache-com.svg" alt="Agent-readiness score 57/100" 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.