# ML Steaks and Sports: Agent-Direct Score C (66.2%) Site: http://www.mlsteaksandsports.com/ Report: https://directindex.org/r/mlsteaksandsports.com Scanned: 2026-10-17 (Provisional: the action test and the assistant citation check still to come; the hatched part of the bar is not measured yet.) ML Steaks and Sports is partly visible to agents. An AI assistant can open the website of ML Steaks and Sports. It can read what ML Steaks and Sports offers. To book or order, it is sent to OpenTable, a marketplace. ## Direct links - Order directly: https://order.online/store/ml-steaks-+-sports-miami-lakes-657705/?hideModal=false.html (through doordash_storefront acting for the business) - Menu: https://www.mlsteaksandsports.com/menu.html - Phone: +13058208047 ## What to fix first - Prices: 11 prices on the site, the middle one $9.00 ## What the site tells visitors (Measured, not scored) - **11 prices on the landing page, the middle one $9.00.** In Miami, the middle price of comparable sites that show prices is $15.45. - **No structured data for the business.** (+14 points) Add schema.org JSON-LD for the business (Restaurant, LocalBusiness or the closest type, with name, address, telephone and openingHoursSpecification, plus servesCuisine and acceptsReservations). It is the one block every assistant reads first; the fix kit below has it filled in. Guide: https://directindex.org/guides/structured-data-restaurant - **Booking only through opentable.** (+5 points) Every agent transaction goes through the marketplace and its commission. Add a direct path on your own site, even a simple form. Guide: https://directindex.org/guides/book-direct-on-your-own-website - **No llms.txt.** (no points, still worth doing) Optional today, cheap to add: a short text file describing the business for language models. Guide: https://directindex.org/guides/llms-txt-for-a-business ## Fix kit: What to paste Structured data (JSON-LD). One block in the page's head, or in the builder's custom-code slot. Replace anything that is wrong. ```html ``` llms.txt. Save as /llms.txt at the root of the site. ``` # ML Steaks and Sports > local business in 6842 Main St, 33014-2051, Miami Lakes, Miami. Phone +13058208047. ## Book or order directly - Order: https://order.online/store/ml-steaks-+-sports-miami-lakes-657705/?hideModal=false.html (through doordash_storefront acting for the business) - Menu: https://www.mlsteaksandsports.com/menu.html ## About - Website: http://www.mlsteaksandsports.com/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models. ``` ## Already right - **robots.txt lets AI crawlers in.** There is no robots.txt, which allows everything. - **AI crawlers get the page.** GPTBot, ClaudeBot and PerplexityBot all received a normal response. - **Menu or price list is an HTML page.** Agents can read items and prices directly. - **Ordering through doordash_storefront on your own domain.** No marketplace commission, and the guest stays yours. ## Where it stands 1161 of 2979 in Miami. Top 39% of the sites scanned in this index. | What the top tenth of the index does | Top 10% | This site | |---|---|---| | Take bookings or orders on their own domain | 100% | yes | | Publish the menu or price list as HTML | 97% | yes | | Let AI crawlers in (no edge block, no robots.txt block) | 94% | yes | | Structured data with address, phone and hours | 68% | no | | Have an llms.txt | 44% | no | Nearest places in the index: Korner67 (A, 154 m, https://directindex.org/r/korner67.com); Hibachi (F, 202 m, https://directindex.org/r/hibachidining.com); Tony Roma's Ribs, Seafood, & Steaks (C, 222 m, https://directindex.org/r/tonyromas.com); Pizza Scene (D, 226 m, https://directindex.org/r/pizzascene.com); 1910 Restaurant & Bar Miami Lakes (F, 227 m, https://directindex.org/r/1910restaurantbarml.com); Amazonia Nikkei - Miami Lakes (B, 229 m, https://directindex.org/r/amazonianikkei.com); Amaize (F, 248 m, https://directindex.org/r/amaizeyou.com); Pizza @roccosdough: Wood-fired Artisan Pizza! (F, 269 m, https://directindex.org/r/roccosdough.net); Chela's beer garden (D, 337 m, https://directindex.org/r/chelasbeergarden.com); La Strega Cucina Italiana & Steakhouse (F, 365 m, https://directindex.org/r/lastregacucina.com). ## What assistants answer Not asked yet. Assistants are asked about the top-ranked businesses in each city index, and about every claimed business the moment it is claimed; claim this page to be included. Asked 12 everyday questions about Miami, the assistants named 65 places; ML Steaks and Sports was not among them. See who was named: https://directindex.org/city/miami/recommended Against its peers: Sites using OpenTable 65% (40% A or B, 2352 sites); Sites using DoorDash Storefront 69% (53% A or B, 955 sites); This site 66.2%. See what an AI agent reads on this site: https://directindex.org/r/mlsteaksandsports.com/agent-view ## Businesses like ML Steaks and Sports in Miami | Group | Sites | Avg score | A or B | This site | |---|---|---|---|---| | Businesses of the same kind in Miami | 2979 | 54% | 35% | 66.2% | | Sites using OpenTable in Miami | 123 | 70% | 51% | 66.2% | The best of the sites using OpenTable in Miami: Korner67 (A 100%, https://directindex.org/r/korner67.com); Lentrecote French Restaurant (A 100%, https://directindex.org/r/lentrecoteusa.com); Joe's Stone Crabs (A 95.4%, https://directindex.org/r/joesstonecrab.com); Sobe Steakhouse (A 95.4%, https://directindex.org/r/meatmarket.net); Amara at Paraiso (A 92.3%, https://directindex.org/r/amaraatparaiso.com). With the two fixes above (No structured data for the business; Booking only through opentable) the score would be about 95.4%: 132nd of 2,979 in Miami, up from 1161st. ## The direct record What agents get for ML Steaks and Sports, as JSON: https://directindex.org/api/direct/mlsteaksandsports.com - Book: none on record - Order: https://order.online/store/ml-steaks-+-sports-miami-lakes-657705/?hideModal=false.html (vendor on own site: DoorDash Storefront; found by the scan of 2026-10-17, not yet tested) - Menu: https://www.mlsteaksandsports.com/menu.html (html_page; from the scan) - Hours: none on record - Phone: +13058208047 - Stable links that count: https://directindex.org/go/mlsteaksandsports.com/order, https://directindex.org/go/mlsteaksandsports.com/menu ## Can an agent transact? Measured, not scored (the score stays at spec v1.0). - UCP profile (/.well-known/ucp, Google and Shopify's Universal Commerce Protocol): no - ACP discovery document (/.well-known/acp.json, OpenAI and Stripe's Agentic Commerce Protocol): no - MCP server card (/.well-known/mcp/server-card.json): no - Ordering vendor that takes agent orders (Square, Toast, or a vendor whose terms allow agents): no - Vendor terms for agents, DoorDash Storefront: Not stated. The terms do not address an agent acting for a person (several bar scraping or data extraction only), could not be read on the date given, or the vendor has not been researched yet. ## Score breakdown | Component | Points | Available | |---|---|---| | Reachable | 25 | 25 | | Readable | 8 | 25 | | Actionable | 10 | 15 (the action test: pending) | | Cited | 0 | 0 (the assistant citation check: pending) | ## Agent readiness (Cloudflare) Level 0 of 5, Not Ready. Cloudflare's report: https://isitagentready.com/mlsteaksandsports.com - Link headers on the homepage: no (how: https://isitagentready.com/.well-known/agent-skills/link-headers/SKILL.md) - sitemap.xml: no (how: https://isitagentready.com/.well-known/agent-skills/sitemap/SKILL.md) - AI bot rules in robots.txt: no (how: https://isitagentready.com/.well-known/agent-skills/ai-rules/SKILL.md) - Content Signals in robots.txt: no (how: https://isitagentready.com/.well-known/agent-skills/content-signals/SKILL.md) - Markdown on Accept: text/markdown: no (how: https://isitagentready.com/.well-known/agent-skills/markdown-negotiation/SKILL.md) - llms.txt: no (how: https://isitagentready.com/.well-known/agent-skills/llms-txt/SKILL.md) - API catalog (RFC 9727): no (how: https://isitagentready.com/.well-known/agent-skills/api-catalog/SKILL.md) - MCP server card: no (how: https://isitagentready.com/.well-known/agent-skills/mcp-server-card/SKILL.md) - A2A agent card: no (how: https://isitagentready.com/.well-known/agent-skills/a2a-agent-card/SKILL.md) - Agent Skills index: no (how: https://isitagentready.com/.well-known/agent-skills/agent-skills/SKILL.md) - OAuth or OIDC discovery: no (how: https://isitagentready.com/.well-known/agent-skills/oauth-discovery/SKILL.md) - OAuth protected resource metadata: no (how: https://isitagentready.com/.well-known/agent-skills/oauth-protected-resource/SKILL.md) - auth.md: no (how: https://isitagentready.com/.well-known/agent-skills/auth-md/SKILL.md) - Web Bot Auth key directory: no (how: https://isitagentready.com/.well-known/agent-skills/web-bot-auth/SKILL.md) - ARD capability manifest: no (how: https://isitagentready.com/.well-known/agent-skills/ard/SKILL.md) - DNS-AID records: no (how: https://isitagentready.com/.well-known/agent-skills/dns-aid/SKILL.md) - WebMCP tools on the page: no (how: https://isitagentready.com/.well-known/agent-skills/webmcp/SKILL.md) - JSON-LD for the business: no Keep watching this business (https://directindex.org/r/mlsteaksandsports.com/plan): the assistants asked again every month, with what changed; 2 EUR a month or 19 EUR a year. Deep report: https://directindex.org/r/mlsteaksandsports.com/deep. Ten questions the way people ask, each assistant's full answer, the eight nearest similar places, the fix plan and a PDF: 5 EUR, one-off. Reading and scanning stay free; these few euros pay for the questions sent to the assistants and for the servers. Methodology: https://directindex.org/methodology ยท Rescan now: https://directindex.org/scan?url=mlsteaksandsports.com&force=1