{"scan_id": 157, "url": "https://www.fiveelephant.com", "vertical": "specialty_coffee", "scanned_at": "2026-08-11T06:01:11.050025+00:00", "score": 62, "grade": "C", "report_url": "https://www.agentready.market/r/157", "result": {"url": "https://www.fiveelephant.com", "meta": {"notes": [], "phase": "1 (pillars 1-4, weighted matrix)", "origin": "https://www.fiveelephant.com", "investment": {"ads": [], "apps": ["Judge.me", "Recharge"], "score": 2, "platform": "Shopify", "qualified": true}, "home_status": 200, "product_url": "https://www.fiveelephant.com/products/five-elephant-whole-cheesecake", "shopify_feed": true, "robots_present": true}, "error": "", "grade": "C", "score": 62, "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 (576 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 (5354 visible characters).", "earned": 4.0, "effort": "hard", "pillar": "access", "status": "pass", "weight": 4.0}, {"id": "access.agent_pathways", "fix": "", "gap": 0.0, "label": "Shipping/returns/contact linked from the homepage (preview)", "detail": "Shipping, returns, contact and help are all reachable by link from the homepage \u2014 an agent can answer pre-purchase questions by navigating.", "earned": 0.0, "effort": "easy", "pillar": "access", "status": "pass", "weight": 0.0}], "earned": 40.0, "weight": 40.0}, {"id": "structured_data", "pct": 49, "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": "Set offers.price and offers.priceCurrency in JSON-LD.", "gap": 8.0, "label": "Structured price + currency", "detail": "No price exposed inside offers.", "earned": 0.0, "effort": "easy", "pillar": "structured_data", "status": "fail", "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": "Add the brand field to the Product.", "gap": 3.0, "label": "Structured brand", "detail": "No structured brand.", "earned": 0.0, "effort": "easy", "pillar": "structured_data", "status": "fail", "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": 17.0, "weight": 35.0}, {"id": "catalog", "pct": 64, "icon": "\ud83d\udce6", "name": "Catalog & attributes", "checks": [{"id": "cat.variants", "fix": "Declare each variant as a distinct Offer or via hasVariant.", "gap": 5.0, "label": "Structured variants", "detail": "Structured product but variants not exposed (size/color not found as fields).", "earned": 5.0, "effort": "medium", "pillar": "catalog", "status": "partial", "weight": 10.0}, {"id": "cat.attributes", "fix": "Add color, size, material, category as structured fields.", "gap": 4.0, "label": "Attributes as fields (not prose)", "detail": "Few structured attributes: option:Size.", "earned": 4.0, "effort": "medium", "pillar": "catalog", "status": "partial", "weight": 8.0}, {"id": "cat.feed", "fix": "", "gap": 0.0, "label": "Product feed / catalog signals", "detail": "Feed signals: valid products.json (Shopify), OpenGraph product, og:availability.", "earned": 7.0, "effort": "medium", "pillar": "catalog", "status": "pass", "weight": 7.0}], "earned": 16.0, "weight": 25.0}, {"id": "rails", "pct": 6, "icon": "\ud83d\udee4\ufe0f", "name": "Transaction rails & agent access", "checks": [{"id": "proto.ucp_mcp", "fix": "Enable your platform's agentic checkout (on Shopify: the UCP catalog + checkout endpoint at /api/ucp/mcp) so agents on the UCP rail can transact.", "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": "Publish an A2A Agent Card at /.well-known/agent-card.json describing your store's machine entry points.", "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": "Publish an ARD AI Catalog at /.well-known/ai-catalog.json \u2014 the pre-invocation discovery layer agents check first.", "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": 32, "steps": [{"n": 1, "how": "\u2022\u2022\u2022\u2022\u2022\u2022 Unlock the exact fix with Pro", "why": "No price exposed inside offers.", "title": "Structured price + currency", "effort": "easy", "impact": 8.0, "pillar": "Structured data", "check_id": "sd.price", "cumulative": 82}, {"n": 2, "how": "\u2022\u2022\u2022\u2022\u2022\u2022 Unlock the exact fix with Pro", "why": "No structured brand.", "title": "Structured brand", "effort": "easy", "impact": 3.0, "pillar": "Structured data", "check_id": "sd.brand", "cumulative": 85}, {"n": 3, "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": 88}, {"n": 4, "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": 91}, {"n": 5, "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": 94}], "capped": false, "current": 62, "grade_up": true, "projected": 94, "cap_reason": "", "target_grade": "A", "current_grade": "C"}, "headline": "Average. An agent copes but trips on concrete points.", "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": "# Five Elephant Roastery GmbH\n\n> Sourcing and roasting exceptional coffees, shipping worldwide for wholesale & retail or carefully brewed in our Berlin-based cake shops.\n\n## Products\n- [Cold Brew - ETHIOPIA Queen Of Sheba](https://www.fiveelephant.com/products/cold-brew)\n\n## Policies\n- Shipping: <add your delivery times and zones>\n- Returns: <add your return policy>\n\n## Sitemap\n- https://www.fiveelephant.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": 21, "median": 41, "verdict": "Above the specialty coffee median (+21).", "vertical": "specialty_coffee", "percentile": null, "provisional": true, "sample_size": null, "vertical_label": "specialty coffee"}, "final_url": "https://www.fiveelephant.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 price exposed inside offers.", "title": "Structured price + currency", "effort": "easy", "impact": 8.0, "pillar": "Structured data", "check_id": "sd.price"}, {"how": "\u2022\u2022\u2022\u2022\u2022\u2022 Unlock the exact fix with Pro", "why": "No structured brand.", "title": "Structured brand", "effort": "easy", "impact": 3.0, "pillar": "Structured data", "check_id": "sd.brand"}, {"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"}], "cap_reason": "", "proto_bonus": 0, "scoring_version": 2}}