---
title: "Carrefour: the 360 agent-readiness check | Agent Ready Checkout"
description: "Carrefour on Ora's agent-readiness scan, read 2026-11-14: 60 of 100, grade C. The pay layer did not apply. One company a day."
canonical: https://agentreadycheckout.com/blog/carrefour-agent-readiness
site: "Agent Ready Checkout"
last_updated: 2026-11-14
date: 2026-11-09
section: "360 checks"
---

# Carrefour: the 360 agent-readiness check | Agent Ready Checkout

> Carrefour on Ora's agent-readiness scan, read 2026-11-14: 60 of 100, grade C. The pay layer did not apply. One company a day.

Source: https://agentreadycheckout.com/blog/carrefour-agent-readiness
Site: Agent Ready Checkout
Last reviewed: 2026-11-14

360 check, 9 Nov 2026

# Carrefour on the pay layer: the 360 agent-readiness check

In short

Carrefour scores 60 of 100 on Ora's agent-readiness scan, a C, read 14 Nov 2026. The six payment checks did not apply to carrefour.com on this read, which is how Ora treats a site it does not read as a shop. A C earned by having almost nothing for the checklist to test.

On 14 Nov 2026 the public site at carrefour.com scored **60 of 100** on [Ora's](https://ora.ai/?utm_source=agentreadycheckout.com&utm_medium=referral&utm_campaign=check) agent-readiness scan, a C. Carrefour is the French grocery group, selling online in its home market and abroad, so this check reads the Payments layer first: the six checks that look for x402, MPP, UCP, ACP and AP2 on the domain, the same protocols this site's matrix tracks row by row. The other layers follow, with every check Ora ran and what it saw. Ora's one-line summary: Carrefour offers strong product discovery and search indexing, but lacks WebMCP support for agent integration.

## The score

| Layer | Points | Share | What the layer asks |
| --- | --- | --- | --- |
| Discovery | 10 of 11 | 91% | Can agents find and recommend it |
| Access | 13 of 39 | 33% | Can agents read it |
| Usability | 9 of 14 | 64% | Can agents use it |
| Payments | 0 of 0 | none apply | Can agents pay |
|  |
| Total | 60 of 100 | 60% | Grade C |

## The pay layer

Ora did not run the six payment checks against carrefour.com on this read: it marks them not applicable on a site it does not read as a shop, so the layer has no maximum and costs nothing. A retailer that sells online can still publish any of the five protocols; the matrix says which processors and platforms carry each one. Each protocol links to its matrix row, where the processors and platforms that carry it are dated and sourced.

| Payment check | Result | Points | Matrix row | What Ora saw |
| --- | --- | --- | --- | --- |
| x402 | Does not apply | 0 of 2 | x402 in the matrix | No commerce signals detected - agent-payment protocols are optional for non-commerce sites |
| MPP | Does not apply | 0 of 2 | MPP in the matrix | No commerce signals detected - agent-payment protocols are optional for non-commerce sites |
| UCP | Does not apply | 0 of 3 | UCP in the matrix | No commerce signals detected - agent-payment protocols are optional for non-commerce sites |
| ACP | Does not apply | 0 of 3 | ACP in the matrix | No commerce signals detected - agent-payment protocols are optional for non-commerce sites |
| ACP delegate payment | Does not apply | 0 of 3 | ACP in the matrix | No commerce signals detected - agent-payment protocols are optional for non-commerce sites |
| AP2 | Does not apply | 0 of 3 | AP2 in the matrix | No commerce signals detected - agent-payment protocols are optional for non-commerce sites |

## The other layers, check by check

Every check Ora ran on carrefour.com, grouped by layer, with the result, the points and what Ora recorded where its wording passes this site's gate.

### Discovery: 10 of 11

| Check | Result | Points | What Ora saw |
| --- | --- | --- | --- |
| ARD discovery | Fail | 0 of 1 | No /.well-known/ard.json, no same-site rel="ard" link, and no legacy /.well-known/ai-catalog.json |
| Brand name discoverability | Pass | 3 of 3 | carrefour.com ranks #3 for "Welcome at Carrefour" (searched your brand name alone: no main product term from your homepage qualified) |
| Wikipedia / Wikidata entity presence | Pass | 4 of 4 | Wikipedia "Carrefour" and Wikidata Q217599 both verified - domain confirmed on both sources |
| robots.txt AI crawler policy | Pass | 2 of 2 | AI search crawlers: allowed in 3 of 3 checks (3 crawlers on 1 page). AI training crawlers: allowed in 2 of 2 checks (2 crawlers on 1 page), not scored. |
| Agent platform configs | Fail | 0 of 1 | Could not locate a public repo containing agent configs or rules. If our probes missed it, AI coding agents likely will too - link the repo from your homepage or docs so it's discoverable. |
| Agent Plugins manifest | Fail | 0 of 1 | No Agent Plugins manifest (plugin.json) found in discovered repos |
| ChatGPT app listed | Fail | 0 of 2 | Not found in ChatGPT app directory |
| Homepage not hidden from search | Pass | 1 of 1 | No noindex on the homepage: no robots, googlebot or bingbot meta tag and no X-Robots-Tag header hides it from search. |

### Access: 13 of 39

| Check | Result | Points | What Ora saw |
| --- | --- | --- | --- |
| Sitemap exists | Pass | 2 of 2 | Valid sitemap found at /sitemap.xml with 1407 entries |
| Content without JavaScript | Partial | 1 of 3 | 780 chars of readable text, but no H1 tag |
| Not blocked by bot detection | Pass | 2 of 2 | Site accessible to 3 agent user-agents (ChatGPT-User, OAI-SearchBot, Claude-User). Can't verify PerplexityBot. A bot shield, rate limit, or timeout stopped our test request. |
| Agent discovery file | Fail | 0 of 2 | No agent discovery file found |
| A2A / agent-card | Fail | 0 of 2 | No A2A agent card found at /.well-known/agent-card.json |
| Listed on skills.sh | Fail | 0 of 1 | No official skills self-published on skills.sh (8 community skills with potential relation to this domain found, but only self-published official skills count) |
| pricing.md exists | Fail | 0 of 2 | No pricing.md found - agents need machine-readable pricing to compare products and make purchase recommendations |
| NLWeb Schema Feeds | Fail | 0 of 1 | No schemamap: directive in robots.txt |
| MCP well-known discovery | Fail | 0 of 2 | No MCP server URL discovered |
| Agent mode view | Partial | 1 of 2 | Agent mode view detected at ?mode=agent but limited agent-specific content |
| HTTP Link headers (RFC 8288) | Fail | 0 of 1 | No HTTP Link response headers (RFC 8288) found |
| Markdown URL fallback | Fail | 0 of 2 | Homepage does not support the .md suffix. Probed https://carrefour.com/index.md and it did not return markdown (expected text/markdown content-type or a heading-led non-HTML body). |
| Modular llms.txt per product area | Fail | 0 of 1 | No section-level llms.txt found. Tried /docs/llms.txt, /api/llms.txt, /developers/llms.txt, /guides/llms.txt, /reference/llms.txt. This is a bonus check: it can add a point and never costs one. |
| Sitemap freshness (lastmod) | Pass | 1 of 1 | Pass, no detail recorded. |
| robots.txt agent-user policy | Pass | 2 of 2 | No applicable crawl or usage restriction found for 3 user-triggered agents (chatgpt-user, claude-user, perplexity-user) on 1 public page: https://carrefour.com/. Declared policy only |
| llms.txt exists | Fail | 0 of 1 | No llms.txt found at /llms.txt or /.well-known/llms.txt. |
| llms.txt formatting | Fail | 0 of 2 | No llms.txt found to evaluate quality |
| JSON-LD structured data | Fail | 0 of 4 | No JSON-LD structured data found on homepage |
| Pricing info accessible | Fail | 0 of 3 | No pricing page or pricing data found |
| Agent instruction / when-to-use | Fail | 0 of 3 | No agent instruction file with when-to-use guidance found |
| Skills.sh skill quality | Fail | 0 of 2 | No official skills on skills.sh to evaluate |
| JSON-LD entity linking (sameAs) | Fail | 0 of 2 | No JSON-LD found - no entity linking possible |
| Metadata completeness | Partial | 1 of 2 | 2/4 metadata signals present - missing: og:image, og:type |
| Organization schema completeness | Fail | 0 of 2 | No JSON-LD found - Organization schema missing |
| Schema type breadth | Fail | 0 of 2 | No extended schema types found - AI can only answer basic questions about this entity |
| Trust anchor pages | Fail | 0 of 2 | No trust anchor pages found with sufficient content (About, Contact, Privacy) |
| Markdown alternate link | Fail | 0 of 1 | No sampled page advertises a markdown alternate. Add <link rel="alternate" type="text/markdown" href="..."> (or the equivalent Link response header) pointing at a markdown twin of the page. |
| Redirect hygiene | Pass | 1 of 1 | Pass, no detail recorded. |
| Page token budget | Pass | 1 of 1 | All 1 measured page fit an agent context budget (largest ~1K tokens) |
| API catalog (RFC 9727) | Fail | 0 of 2 | No /.well-known/api-catalog found (RFC 9727) |
| Markdown agent docs | Fail | 0 of 1 | Missing markdown content negotiation. Homepage returned text/html when probed with Accept: text/markdown (expected text/markdown), and none of the well-known root paths (/llms.md, /auth.md, /agents.md, /developers.md |
| Markdown content negotiation (acceptmarkdown.com) | Fail | 0 of 1 | Homepage https://carrefour.com does not meet the Markdown negotiation requirements: Accept: text/markdown returned text/html; charset=utf-8; Vary header missing Accept (got "cookie") |
| Bot-UA markdown serving | Fail | 0 of 1 | No probed bot User-Agent (ChatGPT-User, Claude-User, Perplexity-User) receives markdown when requesting HTML. Optional: detect AI-bot UAs server-side and serve them a markdown representation directly. |
| Agent crawler reachability | Pass | 2 of 2 | Reachable to ChatGPT-User, OAI-SearchBot, Claude-User. A bot shield, rate limit, or timeout stopped our test request. Real crawlers come from their own networks and may get through. (ChatGPT-User: reachable |

### Usability: 9 of 14

| Check | Result | Points | What Ora saw |
| --- | --- | --- | --- |
| Web Bot Auth directory | Fail | 0 of 2 | No /.well-known/http-message-signatures-directory found |
| OAuth Protected Resource metadata (RFC 9728) | Fail | 0 of 2 | No /.well-known/oauth-protected-resource found (RFC 9728) |
| auth.md exists | Fail | 0 of 2 | No /auth.md found at site root |
| auth.md structure | Fail | 0 of 2 | No /auth.md found at site root |
| Agent auth discovery metadata | Fail | 0 of 3 | Neither /.well-known/oauth-protected-resource nor /.well-known/oauth-authorization-server found. Probed: carrefour.com, api.carrefour.com. |
| Agent auth WWW-Authenticate hint | Fail | 0 of 1 | No 401 with WWW-Authenticate: Bearer resource_metadata=... found. Probed [https://carrefour.com/api, https://carrefour.com/api/v1, https://carrefour.com/v1, https://carrefour.com/v2, https://carrefour.com/agent/identity |
| agent_auth endpoints reachable | Fail | 0 of 2 | No agent_auth endpoint URIs found in AS metadata or /auth.md prose; nothing to probe |
| WebMCP support | Fail | 0 of 5 | No WebMCP support detected - no document.modelContext / navigator.modelContext usage found (scanned 6 of 6 same-origin script bundle(s) for modelContext registrations) |
| NLWeb /ask endpoint | Fail | 0 of 1 | No NLWeb-conformant /ask endpoint found via GET or POST |
| NLWeb streaming support | Fail | 0 of 1 | NLWeb /ask does not support SSE streaming via GET or POST |
| MCP server-card.json | Fail | 0 of 2 | No MCP server card found (checked /.well-known/mcp/server-card.json, the site's ai-catalog.json, servers[].card in mcp.json, and <server>/server-card) |
| Product + docs MCP coverage | Fail | 0 of 2 | This bonus needs two MCP servers: one for your product so agents can take actions, and a separate one for your documentation so agents can answer questions from your docs. |
| Sandbox / test environment | Fail | 0 of 2 | No sandbox or test environment found |
| Native interactive controls | Pass | 3 of 3 | Pass, no detail recorded. |
| Accessible names on controls | Pass | 2 of 2 | Pass, no detail recorded. |
| Form control labeling | Pass | 2 of 2 | Pass, no detail recorded. |
| Accessibility-tree injection safety (bonus) | Pass | 2 of 2 | Pass, no detail recorded. |

## The fixes worth most points

Ora attaches an estimate to each failing or partial check: how many points the site would gain by passing it. These are the 5 with the largest estimates for Carrefour.

WebMCP support

Fail, 0 of 5, about 15.9 points to gain. Ora saw: No WebMCP support detected - no document.modelContext / navigator.modelContext usage found (scanned 6 of 6 same-origin script bundle(s) for modelContext registrations).

JSON-LD structured data

Fail, 0 of 4, about 3.4 points to gain. Ora saw: No JSON-LD structured data found on homepage.

Agent auth discovery metadata

Fail, 0 of 3, about 2.8 points to gain. Ora saw: Neither /.well-known/oauth-protected-resource nor /.well-known/oauth-authorization-server found. Probed: carrefour.com, api.carrefour.com.

Agent instruction / when-to-use

Fail, 0 of 3, about 2.6 points to gain. Ora saw: No agent instruction file with when-to-use guidance found.

Pricing info accessible

Fail, 0 of 3, about 2.6 points to gain. Ora saw: No pricing page or pricing data found.

## Our read

Carrefour's 60 is a C earned by having little to check: the Usability layer has a maximum of 14 and the Access layer 39, because corporate carrefour.com publishes neither an API nor a developer portal, and no MCP server, so the rows that fail elsewhere drop out of the denominator. The door is open to ChatGPT-User, OAI-SearchBot and Claude-User, robots.txt allows the search and training crawlers and the sitemap carries 1,407 entries; the home page gives 780 characters without an H1, with neither JSON-LD nor an llms.txt. Ora read no commerce signals on the corporate domain of Europe's largest food retailer, so the six payment checks did not apply on this read, the shops living on country domains the scan did not visit. The WebMCP estimate of 15.9 points is large only because so few checks apply. The brand search ran on the page title, Welcome at Carrefour, and placed the domain third. The score measures what a site attempts.

## Test your own checkout

The scan above is free and needs no account: enter a domain at [ora.ai](https://ora.ai/?utm_source=agentreadycheckout.com&utm_medium=referral&utm_campaign=check) and read the same layers for your own site, with the six payment checks mapped to this matrix on [the Ora Payments page](https://agentreadycheckout.com/method/ora-payments-layer). The command below runs the same audit from a terminal and exits with 1 under the score you set, so it can gate a deploy. [Why Ora, and its limits](https://agentreadycheckout.com/guides/best-ai-readiness-tools-2026).

```bash
npx ax@0.10 audit https://example.com --min-score 70
```

[All 360 checks](https://agentreadycheckout.com/blog), one company a day. Corrections to [the corrections page](https://agentreadycheckout.com/corrections).

## Sources

1.  [ora.ai/api/score/carrefour.com, Ora's scan (vendor)](https://ora.ai/api/score/carrefour.com?utm_source=agentreadycheckout.com&utm_medium=referral&utm_campaign=check), read 14 Nov 2026
2.  [Ora check catalog (GET /api/checks)](https://ora.ai/api/checks?utm_source=agentreadycheckout.com&utm_medium=referral&utm_campaign=check), read 14 Nov 2026
3.  [carrefour.com, the company's site](https://www.carrefour.com/en), read 14 Nov 2026

Last reviewed 14 Nov 2026

## Edition

Matrix edition of 4 Nov 2026.

Reviewed 14 Nov 2026, [3 sources](#sources-h).

## Method

Every number on this page is read from Ora's score file for the domain on the date shown. The verdict is ours.

[Methodology](https://agentreadycheckout.com/method)