{"scan_id": 168, "url": "https://dakcoffeeroasters.com", "vertical": "specialty_coffee", "scanned_at": "2026-08-13T06:01:22.261836+00:00", "score": 31, "grade": "E", "report_url": "https://www.agentready.market/r/168", "result": {"url": "https://dakcoffeeroasters.com", "meta": {"notes": ["No product page detected from the homepage."], "phase": "1 (pillars 1-4, weighted matrix)", "origin": "https://dakcoffeeroasters.com", "investment": {"ads": [], "apps": [], "score": 0, "platform": "unknown", "qualified": false}, "home_status": 200, "product_url": "", "shopify_feed": false, "robots_present": true}, "error": "", "grade": "E", "score": 31, "capped": false, "pillars": [{"id": "access", "pct": 90, "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 (684 ms on the homepage) \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": "Enable server-side rendering / pre-rendering for product pages.", "gap": 4.0, "label": "Content accessible without JS rendering", "detail": "The page seems to depend on JS (near-empty shell in raw HTML).", "earned": 0.0, "effort": "hard", "pillar": "access", "status": "fail", "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, contact, help (found: none).", "earned": 0.0, "effort": "easy", "pillar": "access", "status": "fail", "weight": 0.0}], "earned": 36.0, "weight": 40.0}, {"id": "structured_data", "pct": 0, "icon": "\ud83c\udff7\ufe0f", "name": "Structured data", "checks": [{"id": "sd.product", "fix": "Add a <script type=\"application/ld+json\"> of type Product with name, image, brand, sku/gtin13, and offers{price, priceCurrency, availability}.", "gap": 12.0, "label": "Product JSON-LD present", "detail": "No product page found to crawl, and no Product JSON-LD on the homepage.", "earned": 0.0, "effort": "medium", "pillar": "structured_data", "status": "fail", "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": "Add offers.availability (e.g. https://schema.org/InStock).", "gap": 5.0, "label": "Structured availability", "detail": "No availability field \u2014 the agent can't tell if it's in stock.", "earned": 0.0, "effort": "easy", "pillar": "structured_data", "status": "fail", "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": 0.0, "weight": 35.0}, {"id": "catalog", "pct": 0, "icon": "\ud83d\udce6", "name": "Catalog & attributes", "checks": [{"id": "cat.variants", "fix": "Expose variants (size, color) in JSON-LD or via the product feed.", "gap": 10.0, "label": "Structured variants", "detail": "No usable variant data.", "earned": 0.0, "effort": "medium", "pillar": "catalog", "status": "fail", "weight": 10.0}, {"id": "cat.attributes", "fix": "Expose attributes (color, size, material, category) as structured JSON-LD fields (additionalProperty) or via the feed.", "gap": 8.0, "label": "Attributes as fields (not prose)", "detail": "No structured filterable attribute \u2014 the agent can't filter.", "earned": 0.0, "effort": "medium", "pillar": "catalog", "status": "fail", "weight": 8.0}, {"id": "cat.feed", "fix": "Publish a product feed (Shopify products.json, Merchant Center feed) and OpenGraph product tags.", "gap": 7.0, "label": "Product feed / catalog signals", "detail": "No machine-readable product feed nor OpenGraph product tags.", "earned": 0.0, "effort": "medium", "pillar": "catalog", "status": "fail", "weight": 7.0}], "earned": 0.0, "weight": 25.0}, {"id": "rails", "pct": 0, "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": "", "gap": 0.0, "label": "Returns & shipping in offers (P6 preview)", "detail": "No machine-readable product found \u2014 returns/shipping fields can't be assessed (fix the product sheet first).", "earned": 0.0, "effort": "medium", "pillar": "rails", "status": "na", "weight": 0.0}, {"id": "act.checkout", "fix": "", "gap": 0.0, "label": "Add-to-cart action detectable", "detail": "No product page reachable \u2014 the buy action can't be assessed.", "earned": 0.0, "effort": "hard", "pillar": "rails", "status": "na", "weight": 0.0}], "earned": 0.0, "weight": 13.0}], "roadmap": {"gain": 48, "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": 44}, {"n": 2, "how": "\u2022\u2022\u2022\u2022\u2022\u2022 Unlock the exact fix with Pro", "why": "No product page found to crawl, and no Product JSON-LD on the homepage.", "title": "Product JSON-LD present", "effort": "medium", "impact": 12.0, "pillar": "Structured data", "check_id": "sd.product", "cumulative": 56}, {"n": 3, "how": "\u2022\u2022\u2022\u2022\u2022\u2022 Unlock the exact fix with Pro", "why": "No usable variant data.", "title": "Structured variants", "effort": "medium", "impact": 10.0, "pillar": "Catalog & attributes", "check_id": "cat.variants", "cumulative": 66}, {"n": 4, "how": "\u2022\u2022\u2022\u2022\u2022\u2022 Unlock the exact fix with Pro", "why": "No availability field \u2014 the agent can't tell if it's in stock.", "title": "Structured availability", "effort": "easy", "impact": 5.0, "pillar": "Structured data", "check_id": "sd.availability", "cumulative": 71}, {"n": 5, "how": "\u2022\u2022\u2022\u2022\u2022\u2022 Unlock the exact fix with Pro", "why": "No structured filterable attribute \u2014 the agent can't filter.", "title": "Attributes as fields (not prose)", "effort": "medium", "impact": 8.0, "pillar": "Catalog & attributes", "check_id": "cat.attributes", "cumulative": 79}], "capped": false, "current": 31, "grade_up": true, "projected": 79, "cap_reason": "", "target_grade": "B", "current_grade": "E"}, "headline": "Critical. An AI agent can barely buy from you.", "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": "# Dakcoffeeroasters\n\n## Policies\n- Shipping: <add your delivery times and zones>\n- Returns: <add your return policy>\n\n## Sitemap\n- https://dakcoffeeroasters.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": -40, "median": 71, "verdict": "Below the specialty coffee median (-40).", "vertical": "specialty_coffee", "percentile": 10, "provisional": false, "sample_size": 10, "vertical_label": "specialty coffee"}, "final_url": "https://dakcoffeeroasters.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": "No product page reachable \u2014 the buy action can't be assessed.", "points": 0, "status": "na"}, {"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.", "points": 0, "status": "pass"}, {"id": "proto.x402", "label": "x402 / HTTP-402 payments", "detail": "No x402 payment rail observed (17 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": "No canonical declared on the homepage \u2014 engines will pick an address themselves (works, but you're not in control of which variant gets the credit).", "points": 0, "status": "na"}, {"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": "No machine-readable product found \u2014 returns/shipping fields can't be assessed (fix the product sheet first).", "points": 0, "status": "na"}], "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 product page found to crawl, and no Product JSON-LD on the homepage.", "title": "Product JSON-LD present", "effort": "medium", "impact": 12.0, "pillar": "Structured data", "check_id": "sd.product"}, {"how": "\u2022\u2022\u2022\u2022\u2022\u2022 Unlock the exact fix with Pro", "why": "No usable variant data.", "title": "Structured variants", "effort": "medium", "impact": 10.0, "pillar": "Catalog & attributes", "check_id": "cat.variants"}, {"how": "\u2022\u2022\u2022\u2022\u2022\u2022 Unlock the exact fix with Pro", "why": "No availability field \u2014 the agent can't tell if it's in stock.", "title": "Structured availability", "effort": "easy", "impact": 5.0, "pillar": "Structured data", "check_id": "sd.availability"}, {"how": "\u2022\u2022\u2022\u2022\u2022\u2022 Unlock the exact fix with Pro", "why": "No structured filterable attribute \u2014 the agent can't filter.", "title": "Attributes as fields (not prose)", "effort": "medium", "impact": 8.0, "pillar": "Catalog & attributes", "check_id": "cat.attributes"}], "cap_reason": "", "proto_bonus": 0, "scoring_version": 2}}