{"scan_id": 179, "url": "https://www.larbreacafe.com", "vertical": "specialty_coffee", "scanned_at": "2026-08-14T06:02:09.312591+00:00", "score": 79, "grade": "B", "report_url": "https://www.agentready.market/r/179", "result": {"url": "https://www.larbreacafe.com", "meta": {"notes": [], "phase": "1 (pillars 1-4, weighted matrix)", "origin": "https://www.larbreacafe.com", "investment": {"ads": [], "apps": ["Klaviyo", "Judge.me", "Loox"], "score": 3, "platform": "Shopify", "qualified": true}, "home_status": 200, "product_url": "https://www.larbreacafe.com/products/machine-a-espresso-reniala", "shopify_feed": true, "robots_present": true}, "error": "", "grade": "B", "score": 79, "capped": false, "pillars": [{"id": "access", "pct": 100, "icon": "\ud83d\udd13", "name": "Access & crawlability", "checks": [{"id": "access.ai_crawlers", "fix": "", "gap": 0.0, "label": "robots.txt allows agent crawlers", "detail": "robots.txt allows GPTBot, ClaudeBot, PerplexityBot and Google-Extended.", "earned": 16.0, "effort": "easy", "pillar": "access", "status": "pass", "weight": 16.0}, {"id": "access.cloaking", "fix": "", "gap": 0.0, "label": "No blocking / cloaking of AI bots", "detail": "AI bots get the same access and content as a normal visitor.", "earned": 8.0, "effort": "medium", "pillar": "access", "status": "pass", "weight": 8.0}, {"id": "access.latency", "fix": "", "gap": 0.0, "label": "Fast enough response for agents", "detail": "Fast response (828 ms on the product page) \u2014 agents won't time out.", "earned": 4.0, "effort": "medium", "pillar": "access", "status": "pass", "weight": 4.0}, {"id": "access.llms_txt", "fix": "", "gap": 0.0, "label": "llms.txt present", "detail": "/llms.txt present \u2014 points agents to your key pages.", "earned": 4.0, "effort": "easy", "pillar": "access", "status": "pass", "weight": 4.0}, {"id": "access.agents_md", "fix": "", "gap": 0.0, "label": "agents.md present (preview)", "detail": "/agents.md present \u2014 a working guide agents can follow on your site.", "earned": 0.0, "effort": "easy", "pillar": "access", "status": "pass", "weight": 0.0}, {"id": "access.sitemap", "fix": "", "gap": 0.0, "label": "Sitemap available", "detail": "Sitemap found via robots.txt.", "earned": 4.0, "effort": "easy", "pillar": "access", "status": "pass", "weight": 4.0}, {"id": "access.no_js", "fix": "", "gap": 0.0, "label": "Content accessible without JS rendering", "detail": "Content present in raw HTML (8296 visible characters).", "earned": 4.0, "effort": "hard", "pillar": "access", "status": "pass", "weight": 4.0}, {"id": "access.agent_pathways", "fix": "Link shipping, returns, contact and help/FAQ pages from the homepage (nav or footer). Agents answer pre-purchase questions by following links \u2014 a page with no link-path from the homepage does not exist for them.", "gap": 0.0, "label": "Shipping/returns/contact linked from the homepage (preview)", "detail": "No homepage link-path found for: shipping, returns (found: contact, help).", "earned": 0.0, "effort": "easy", "pillar": "access", "status": "partial", "weight": 0.0}], "earned": 40.0, "weight": 40.0}, {"id": "structured_data", "pct": 80, "icon": "\ud83c\udff7\ufe0f", "name": "Structured data", "checks": [{"id": "sd.product", "fix": "", "gap": 0.0, "label": "Product JSON-LD present", "detail": "Schema.org Product found in JSON-LD (product page).", "earned": 12.0, "effort": "medium", "pillar": "structured_data", "status": "pass", "weight": 12.0}, {"id": "sd.price", "fix": "", "gap": 0.0, "label": "Structured price + currency", "detail": "price=850.0 EUR.", "earned": 8.0, "effort": "easy", "pillar": "structured_data", "status": "pass", "weight": 8.0}, {"id": "sd.availability", "fix": "", "gap": 0.0, "label": "Structured availability", "detail": "availability=https://schema.org/InStock.", "earned": 5.0, "effort": "easy", "pillar": "structured_data", "status": "pass", "weight": 5.0}, {"id": "sd.brand", "fix": "", "gap": 0.0, "label": "Structured brand", "detail": "brand=L'Arbre \u00e0 Caf\u00e9.", "earned": 3.0, "effort": "easy", "pillar": "structured_data", "status": "pass", "weight": 3.0}, {"id": "sd.identifier", "fix": "Expose sku and, if possible, gtin13 in the Product JSON-LD.", "gap": 4.0, "label": "Product identifier (SKU / GTIN)", "detail": "No identifier (sku/gtin/mpn) \u2014 the agent can't disambiguate the product.", "earned": 0.0, "effort": "medium", "pillar": "structured_data", "status": "fail", "weight": 4.0}, {"id": "sd.rating", "fix": "Expose aggregateRating (ratingValue + reviewCount) in JSON-LD.", "gap": 3.0, "label": "Aggregated reviews (aggregateRating)", "detail": "No aggregateRating \u2014 the agent can't compare your reputation.", "earned": 0.0, "effort": "medium", "pillar": "structured_data", "status": "fail", "weight": 3.0}], "earned": 28.0, "weight": 35.0}, {"id": "catalog", "pct": 100, "icon": "\ud83d\udce6", "name": "Catalog & attributes", "checks": [{"id": "cat.variants", "fix": "", "gap": 0.0, "label": "Structured variants", "detail": "Variants exposed as data (6 offers).", "earned": 10.0, "effort": "medium", "pillar": "catalog", "status": "pass", "weight": 10.0}, {"id": "cat.attributes", "fix": "", "gap": 0.0, "label": "Attributes as fields (not prose)", "detail": "Structured attributes detected: category, additionalProperty, option:Conditionnement.", "earned": 8.0, "effort": "medium", "pillar": "catalog", "status": "pass", "weight": 8.0}, {"id": "cat.feed", "fix": "", "gap": 0.0, "label": "Product feed / catalog signals", "detail": "Feed signals: valid products.json (Shopify), OpenGraph product.", "earned": 7.0, "effort": "medium", "pillar": "catalog", "status": "pass", "weight": 7.0}], "earned": 25.0, "weight": 25.0}, {"id": "rails", "pct": 6, "icon": "\ud83d\udee4\ufe0f", "name": "Transaction rails & agent access", "checks": [{"id": "proto.ucp_mcp", "fix": "On Shopify the UCP rail ships platform-side: 1) confirm your store is enrolled in Shopify's agentic checkout (Catalog) programme; 2) open https://yourstore.com/api/ucp/mcp \u2014 any answer but 404 (200, 401 or 405) means the endpoint is live. On any other platform, implement the open UCP spec (ucp.dev): a Catalog server exposing search_catalog, lookup_catalog and get_product plus a Checkout server, served over MCP at /api/ucp/mcp (the path agents probe \u2014 Shopify made it the de-facto convention); payment authorization plugs in via UCP's AP2 mandates extension. Then re-scan: this check passes as soon as /api/ucp/mcp answers.", "gap": 4.0, "label": "Shopify/UCP agent endpoint (/api/ucp/mcp)", "detail": "No UCP MCP endpoint detected (HTTP 404) \u2014 agents on the UCP rail (Shopify catalog/checkout) can't transact here.", "earned": 0.0, "effort": "hard", "pillar": "rails", "status": "fail", "weight": 4.0}, {"id": "proto.a2a_card", "fix": "Create a JSON file at /.well-known/agent-card.json following the A2A Agent Card schema: at minimum a name, description and url for your store, plus a skills list saying what an agent can do here (browse the catalog, check delivery, buy). Static JSON is enough \u2014 no backend needed. Re-scan: the check passes once the file parses and declares a name or skills.", "gap": 3.0, "label": "A2A Agent Card (/.well-known/agent-card.json)", "detail": "No A2A Agent Card \u2014 your store publishes no machine-readable agent for buyer-agents to discover and call. (So do ~all stores today: this is the frontier, not the baseline.)", "earned": 0.0, "effort": "easy", "pillar": "rails", "status": "fail", "weight": 3.0}, {"id": "proto.ard_catalog", "fix": "Create a JSON file at /.well-known/ai-catalog.json per the ARD v0.9 draft (Google/Microsoft et al., June 2026): declare a specVersion and an entries list \u2014 one entry per machine surface you offer (product feed, llms.txt, UCP/MCP endpoint), each with a name, description and URL. Static JSON is enough. Re-scan: the check passes once the file declares specVersion or entries.", "gap": 3.0, "label": "ARD AI Catalog (/.well-known/ai-catalog.json)", "detail": "No AI Catalog \u2014 under the new Google/Microsoft ARD spec (June 2026), agents look here first to learn what a site offers. Adoption is ~0% today, so publishing one puts you ahead of nearly the entire web (including the spec authors).", "earned": 0.0, "effort": "easy", "pillar": "rails", "status": "fail", "weight": 3.0}, {"id": "access.machine_entry", "fix": "Link llms.txt, your product feed and agent endpoints from the homepage <head> and echo them in an HTTP Link response header (RFC 8288).", "gap": 3.0, "label": "Machine entry points advertised at first contact", "detail": "The homepage points to no machine resources \u2014 no <head> link to llms.txt, a feed or an agent endpoint, and no HTTP Link header. An agent that fetches only the root sees no signposts and can conclude there's no machine access, even when you serve those files. Link them from the page and echo them in a Link response header.", "earned": 0.0, "effort": "easy", "pillar": "rails", "status": "fail", "weight": 3.0}, {"id": "p6.returns_shipping", "fix": "Add hasMerchantReturnPolicy and shippingDetails to your Offer JSON-LD so an agent can quote the buyer the full, true cost.", "gap": 2.0, "label": "Returns & shipping in offers (P6 preview)", "detail": "Offers carry no machine-readable return policy or shipping details \u2014 an agent can't compute the true total cost of buying from you, and Google's own Search Console flags this too.", "earned": 0.0, "effort": "medium", "pillar": "rails", "status": "fail", "weight": 2.0}, {"id": "act.checkout", "fix": "", "gap": 0.0, "label": "Add-to-cart action detectable", "detail": "The product page exposes a machine-visible add-to-cart action in its raw HTML \u2014 an agent can locate where the purchase starts.", "earned": 1.0, "effort": "hard", "pillar": "rails", "status": "pass", "weight": 1.0}], "earned": 1.0, "weight": 16.0}], "roadmap": {"gain": 21, "steps": [{"n": 1, "how": "\u2022\u2022\u2022\u2022\u2022\u2022 Unlock the exact fix with Pro", "why": "No A2A Agent Card \u2014 your store publishes no machine-readable agent for buyer-agents to discover and call. (So do ~all stores today: this is the frontier, not the baseline.)", "title": "A2A Agent Card (/.well-known/agent-card.json)", "effort": "easy", "impact": 3.0, "pillar": "Transaction rails & agent access", "check_id": "proto.a2a_card", "cumulative": 97}, {"n": 2, "how": "\u2022\u2022\u2022\u2022\u2022\u2022 Unlock the exact fix with Pro", "why": "No AI Catalog \u2014 under the new Google/Microsoft ARD spec (June 2026), agents look here first to learn what a site offers. Adoption is ~0% today, so publishing one puts you ahead of nearly the entire web (including the spec authors).", "title": "ARD AI Catalog (/.well-known/ai-catalog.json)", "effort": "easy", "impact": 3.0, "pillar": "Transaction rails & agent access", "check_id": "proto.ard_catalog", "cumulative": 100}, {"n": 3, "how": "\u2022\u2022\u2022\u2022\u2022\u2022 Unlock the exact fix with Pro", "why": "The homepage points to no machine resources \u2014 no <head> link to llms.txt, a feed or an agent endpoint, and no HTTP Link header. An agent that fetches only the root sees no signposts and can conclude there's no machine access, even when you serve those files. Link them from the page and echo them in a Link response header.", "title": "Machine entry points advertised at first contact", "effort": "easy", "impact": 3.0, "pillar": "Transaction rails & agent access", "check_id": "access.machine_entry", "cumulative": 100}, {"n": 4, "how": "\u2022\u2022\u2022\u2022\u2022\u2022 Unlock the exact fix with Pro", "why": "No identifier (sku/gtin/mpn) \u2014 the agent can't disambiguate the product.", "title": "Product identifier (SKU / GTIN)", "effort": "medium", "impact": 4.0, "pillar": "Structured data", "check_id": "sd.identifier", "cumulative": 100}, {"n": 5, "how": "\u2022\u2022\u2022\u2022\u2022\u2022 Unlock the exact fix with Pro", "why": "No aggregateRating \u2014 the agent can't compare your reputation.", "title": "Aggregated reviews (aggregateRating)", "effort": "medium", "impact": 3.0, "pillar": "Structured data", "check_id": "sd.rating", "cumulative": 100}], "capped": false, "current": 79, "grade_up": true, "projected": 100, "cap_reason": "", "target_grade": "A", "current_grade": "B"}, "headline": "Solid base. A few fixes and you pull ahead of the median.", "artifacts": {"jsonld": "<script type=\"application/ld+json\">\n{\n  \"@context\": \"https://schema.org\",\n  \"@type\": \"Product\",\n  \"name\": \"\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\u2022\",\n  \"brand\": \"\u2022\u2022\u2022\u2022\u2022\u2022\",\n  \"offers\": { \"price\": \"\u2022\u2022\u2022\u2022\", \"availability\": \"\u2022\u2022\u2022\u2022\u2022\u2022\" }\n}\n</script>", "llms_txt": "# L'Arbre \u00e0 Caf\u00e9\n\n> L\u2019Arbre \u00e0 Caf\u00e9 propose des caf\u00e9s en grain nature, riches et gourmands. Nos caf\u00e9s sont issus d'agricultures durables et r\u00e9g\u00e9n\u00e9ratrices, bio et biodynamiques, et de for\u00eats diversifi\u00e9es. Notre torr\u00e9faction \u00e0 coeur r\u00e9v\u00e8le toute la fra\u00eecheur, l'\u00e9nergie et l'\u00e9motion du caf\u00e9. Vente aux particuliers et aux professionnels.\n\n## Products\n- [Assortiment Grands Crus Chocolat\u00e9s](https://www.larbreacafe.com/products/assortiment-grands-crus-chocolates)\n\n## Policies\n- Shipping: <add your delivery times and zones>\n- Returns: <add your return policy>\n\n## Sitemap\n- https://www.larbreacafe.com/sitemap.xml", "available": true, "attribute_map": [{"source": "\u2022\u2022\u2022\u2022", "schema_field": "\u2022\u2022\u2022\u2022", "example": "\u2022\u2022\u2022\u2022"}]}, "benchmark": {"delta": 15, "median": 64, "verdict": "Above the specialty coffee median (+15).", "vertical": "specialty_coffee", "percentile": 90, "provisional": false, "sample_size": 20, "vertical_label": "specialty coffee"}, "final_url": "https://www.larbreacafe.com", "protocols": [{"id": "proto.ucp_mcp", "label": "Shopify/UCP agent endpoint (/api/ucp/mcp)", "detail": "No UCP MCP endpoint detected (HTTP 404) \u2014 agents on the UCP rail (Shopify catalog/checkout) can't transact here.", "points": 4, "status": "fail"}, {"id": "proto.a2a_card", "label": "A2A Agent Card (/.well-known/agent-card.json)", "detail": "No A2A Agent Card \u2014 your store publishes no machine-readable agent for buyer-agents to discover and call. (So do ~all stores today: this is the frontier, not the baseline.)", "points": 3, "status": "fail"}, {"id": "proto.ard_catalog", "label": "ARD AI Catalog (/.well-known/ai-catalog.json)", "detail": "No AI Catalog \u2014 under the new Google/Microsoft ARD spec (June 2026), agents look here first to learn what a site offers. Adoption is ~0% today, so publishing one puts you ahead of nearly the entire web (including the spec authors).", "points": 3, "status": "fail"}, {"id": "act.checkout", "label": "Add-to-cart action detectable", "detail": "The product page exposes a machine-visible add-to-cart action in its raw HTML \u2014 an agent can locate where the purchase starts.", "points": 0, "status": "pass"}, {"id": "access.agent_class", "label": "Shopping-agent access (Agent class)", "detail": "On-demand shopping agents (ChatGPT-User, Claude-User, Perplexity-User, Meta-ExternalFetcher, AmazonBuyForMe) load the site like a normal visitor. The site is behind Cloudflare \u2014 check the AI-crawler settings there.", "points": 0, "status": "pass"}, {"id": "proto.x402", "label": "x402 / HTTP-402 payments", "detail": "No x402 payment rail observed (18 responses checked, none answered 402). The spec still defines no per-site discovery path \u2014 discovery lives in facilitator 'Bazaars' \u2014 so we report what your endpoints actually answered rather than guessing at a path.", "points": 0, "status": "na"}, {"id": "access.citation_rail", "label": "Citation-rail access (Bingbot, OAI-SearchBot, Meta-WebIndexer, Google-Extended)", "detail": "Bingbot, OAI-SearchBot, Meta-WebIndexer get in, and Google-Extended is allowed \u2014 the indexes feeding ChatGPT, Copilot, Meta AI and Gemini answers can all read this store.", "points": 0, "status": "pass"}, {"id": "access.content_signal", "label": "Content-Signal directives (robots.txt)", "detail": "No Content-Signal directives \u2014 the Cloudflare-era content switches aren't set on this store (that's the common case; nothing is being blocked by them).", "points": 0, "status": "na"}, {"id": "access.canonical", "label": "Canonical address coherence", "detail": "The declared canonical address matches where the site actually answers \u2014 no identity contradiction for machines to untangle.", "points": 0, "status": "pass"}, {"id": "access.machine_entry", "label": "Machine entry points advertised at first contact", "detail": "The homepage points to no machine resources \u2014 no <head> link to llms.txt, a feed or an agent endpoint, and no HTTP Link header. An agent that fetches only the root sees no signposts and can conclude there's no machine access, even when you serve those files. Link them from the page and echo them in a Link response header.", "points": 0, "status": "fail"}, {"id": "p6.returns_shipping", "label": "Returns & shipping in offers (P6 preview)", "detail": "Offers carry no machine-readable return policy or shipping details \u2014 an agent can't compute the true total cost of buying from you, and Google's own Search Console flags this too.", "points": 0, "status": "fail"}], "top_fixes": [{"how": "\u2022\u2022\u2022\u2022\u2022\u2022 Unlock the exact fix with Pro", "why": "No A2A Agent Card \u2014 your store publishes no machine-readable agent for buyer-agents to discover and call. (So do ~all stores today: this is the frontier, not the baseline.)", "title": "A2A Agent Card (/.well-known/agent-card.json)", "effort": "easy", "impact": 3.0, "pillar": "Transaction rails & agent access", "check_id": "proto.a2a_card"}, {"how": "\u2022\u2022\u2022\u2022\u2022\u2022 Unlock the exact fix with Pro", "why": "No AI Catalog \u2014 under the new Google/Microsoft ARD spec (June 2026), agents look here first to learn what a site offers. Adoption is ~0% today, so publishing one puts you ahead of nearly the entire web (including the spec authors).", "title": "ARD AI Catalog (/.well-known/ai-catalog.json)", "effort": "easy", "impact": 3.0, "pillar": "Transaction rails & agent access", "check_id": "proto.ard_catalog"}, {"how": "\u2022\u2022\u2022\u2022\u2022\u2022 Unlock the exact fix with Pro", "why": "The homepage points to no machine resources \u2014 no <head> link to llms.txt, a feed or an agent endpoint, and no HTTP Link header. An agent that fetches only the root sees no signposts and can conclude there's no machine access, even when you serve those files. Link them from the page and echo them in a Link response header.", "title": "Machine entry points advertised at first contact", "effort": "easy", "impact": 3.0, "pillar": "Transaction rails & agent access", "check_id": "access.machine_entry"}, {"how": "\u2022\u2022\u2022\u2022\u2022\u2022 Unlock the exact fix with Pro", "why": "No identifier (sku/gtin/mpn) \u2014 the agent can't disambiguate the product.", "title": "Product identifier (SKU / GTIN)", "effort": "medium", "impact": 4.0, "pillar": "Structured data", "check_id": "sd.identifier"}, {"how": "\u2022\u2022\u2022\u2022\u2022\u2022 Unlock the exact fix with Pro", "why": "No aggregateRating \u2014 the agent can't compare your reputation.", "title": "Aggregated reviews (aggregateRating)", "effort": "medium", "impact": 3.0, "pillar": "Structured data", "check_id": "sd.rating"}], "cap_reason": "", "proto_bonus": 0, "scoring_version": 2}}