# Thai on Yonge: Agent-Direct Score D (43.1%) Site: http://www.thaionyonge.com Report: https://directindex.org/r/thaionyonge.com Scanned: 2026-10-19 (Provisional, with the action test and the assistant citation check still to come. The hatched part of the bar isn't measured yet.) Thai on Yonge is hard for agents to use. An AI assistant can open Thai on Yonge's website. It can't find a menu or price list, so it answers from other sites. To book or order, it is sent to Uber Eats, a marketplace. ## Direct links - Phone: +1-416-585-2788 ## What to fix first - **No structured data for the business.** (+15 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). Every assistant reads this block first, and the fix kit below has it filled in. Guide: https://directindex.org/guides/structured-data-restaurant - **Ordering only through ubereats.** (+12 points) Every transaction an agent makes goes through the marketplace, which takes its commission. Add a direct way on your own site. Even a simple form will do. Guide: https://directindex.org/guides/online-ordering-without-delivery-apps - **No menu or price list found.** (+7 points) Agents answer 'what do they offer?' from marketplaces instead. Add a page with the menu or price list and link to it from the homepage. Guide: https://directindex.org/guides/menu-pdf-ai - **No llms.txt.** (no points, but worth doing) Optional for now and cheap to add. It's a short text file that describes the business for language models. Guide: https://directindex.org/guides/llms-txt-for-a-business ## Fix kit: What to paste Structured data (JSON-LD). Paste it as one block in the page's head, or in the builder's custom code box. Change anything that's wrong. ```html ``` llms.txt. Save as /llms.txt at the root of the site. ``` # Thai on Yonge > restaurant (thai) in Yonge Street 370, Toronto. Phone +1-416-585-2788. ## About - Website: http://www.thaionyonge.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's no robots.txt, which means everything is allowed. - **AI crawlers get the page.** GPTBot, ClaudeBot and PerplexityBot all got a normal response. - **Uber Eats works with agents through its partners.** Uber's US terms of use (12 October 2026) bar scripts that burden the services and any use to build software or train AI; its Claude and ChatGPT integrations only browse menus, with checkout in the Uber Eats app. Terms read on 2026-10-15: https://www.uber.com/legal/en/document/?name=general-terms-of-use&country=united-states&lang=en. An assistant that isn't a partner may not be able to finish there. A direct path on your own domain works for all of them. ## Where it stands 2215 of 3392 in Toronto. Top 65% of the sites scanned in this index. | What the top 10% of the index does | Top 10% | This site | |---|---|---| | Take bookings or orders on their own domain | 99% | no | | Publish the menu or price list as HTML | 96% | no | | Let AI crawlers in (no block at the server or in robots.txt) | 95% | yes | | Structured data with address, phone and hours | 49% | no | | Have an llms.txt | 37% | no | Nearest places with a similar menu: Bangkok Garden (A, 104 m, https://directindex.org/r/bangkokgarden.ca); Matagali Indian & Thai Cuisine (A, 284 m, https://directindex.org/r/matagali.com); Le Lert (C, 309 m, https://directindex.org/r/lelert.ca); Crying Tiger (F, 352 m, https://directindex.org/r/tigeryyz.ca); Som Tum Jinda (D, 355 m, https://directindex.org/r/somtumjinda.ca); Evergreen Thai Restaurant (A, 522 m, https://directindex.org/r/evergreenthai.com); 555 Boat Noodles (D, 526 m, https://directindex.org/r/555noodles.com); Hi Hoi Tod (D, 533 m, https://directindex.org/r/hihoitod.com); Pi-Tom's Thai Cuisine (F, 657 m, https://directindex.org/r/pi-tom.com); Si Lom Thai Bistro (C, 721 m, https://directindex.org/r/silom.ca). ## What assistants answer The assistants haven't been asked about this business yet. They're asked about the top-ranked businesses in each city index, and about any business as soon as it's claimed. Claim this page to be included. The assistants were asked 22 everyday questions about Toronto and named 106 places. Thai on Yonge wasn't one of them. See who was named: https://directindex.org/city/toronto/recommended Compared with its peers: Sites built with WordPress 58% (30% A or B, 68857 sites); Sites using Uber Eats 62% (33% A or B, 1135 sites); This site 43.1%. See what an AI agent reads on this site: https://directindex.org/r/thaionyonge.com/agent-view ## Businesses like Thai on Yonge in Toronto | Group | Sites | Avg score | A or B | This site | |---|---|---|---|---| | Businesses of the same kind in Toronto | 3392 | 52% | 33% | 43.1% | | Sites built with WordPress in Toronto | 832 | 65% | 45% | 43.1% | | Sites using Uber Eats in Toronto | 89 | 60% | 33% | 43.1% | | Sites built with WordPress and using Uber Eats in Toronto | 31 | 60% | 23% | 43.1% | The best of the sites built with WordPress and using Uber Eats in Toronto: Creme de la Creme Cafe (A 100%, https://directindex.org/r/cremedelacremecafe.ca); IRENE Restaurant (A 87.7%, https://directindex.org/r/fabrestaurants.ca); Hunter's Hut (A 86.2%, https://directindex.org/r/huntershut.ca); Cong Caphe (B 81.5%, https://directindex.org/r/congcaphe.ca); Pulcinella Ristorante Italiano (B 73.8%, https://directindex.org/r/pulcinellatoronto.com). With the three fixes above (No structured data for the business; Ordering only through ubereats; No menu or price list found), the score would be about 95.4%. That would be 81st of 3,392 in Toronto, up from 2215th. ## The direct record What agents get for Thai on Yonge, as JSON: https://directindex.org/api/direct/thaionyonge.com - Book: none on record - Order: none on record - Menu: none on record - Hours: none on record - Phone: +1-416-585-2788 ## 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, Uber Eats: Through partners. Uber's US terms of use (12 October 2026) bar scripts that burden the services and any use to build software or train AI; its Claude and ChatGPT integrations only browse menus, with checkout in the Uber Eats app. Read 2026-10-15: https://www.uber.com/legal/en/document/?name=general-terms-of-use&country=united-states&lang=en ## Score breakdown | Component | Points | Available | |---|---|---| | Reachable | 25 | 25 | | Readable | 0 | 25 | | Actionable | 3 | 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/thaionyonge.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/thaionyonge.com/plan): the assistants are asked again every month, and you see what changed. 2 EUR a month or 19 EUR a year. Deep report: https://directindex.org/r/thaionyonge.com/deep. Ten questions phrased the way people ask them, each assistant's full answer, the eight nearest similar places, the fix plan and a PDF. 5 EUR, paid once. 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=thaionyonge.com&force=1