banhmimetro.com is largely invisible to agents.
See what an AI agent reads on this site →
24.7 of 65 points available
agent-readiness level, Not Ready
things to fix
Provisional: the action test and the assistant citation check still to come; the hatched part of the bar is not measured yet.
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. How to fix it
Every agent transaction goes through the marketplace and its commission. Add a direct path on your own site, even a simple form. How to fix it About this vendor
Agents answer 'what do they offer' from marketplaces instead. Add a menu or price list page and link it from the homepage. How to fix it
Live fetches as PerplexityBot (http_429) were refused while a normal browser got the page. This is usually a hosting or firewall bot list the owner never chose. Ask the host to allow these user agents. How to fix it
Optional today, cheap to add: a short text file describing the business for language models. How to fix it
No one is listed yet to fix this in Toronto. List your agency or yourself: free, reviewed by hand.
Builder: wordpress · Front: cloudflare · Cloudflare in front; AI crawlers blocked at the edge
Filled from the business's own record and this scan. Check every line before it goes live; where it goes on wordpress is in the guides.
One block in the page's head, or in the builder's custom-code slot. Replace anything that is wrong. Guide.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Restaurant",
"name": "Banh Mi Metro",
"url": "https://banhmimetro.com",
"telephone": "+1-416-750-9979",
"address": {
"@type": "PostalAddress",
"streetAddress": "Lawrence Avenue East 2055",
"postalCode": "M1R 2Z4"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 43.7450923,
"longitude": -79.2942953
},
"openingHours": "Mo-Su 11:00-18:00",
"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [],
"opens": "11:00",
"closes": "18:00"
}
],
"servesCuisine": [
"vietnamese",
"bánh mì"
]
}
</script>
Save as /llms.txt at the root of the site. Guide.
# Banh Mi Metro > restaurant (vietnamese, bánh mì) in Lawrence Avenue East 2055 M1R 2Z4, Toronto. Phone +1-416-750-9979. ## Opening hours Mo-Su 11:00-18:00 ## About - Website: https://banhmimetro.com - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
Top 69% of the sites scanned in this index. Just above: Yan Yu Chinese Dining F, bb.q Chicken F. Just below: Figs Breakfast & Lunch F, A&W F.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 97% | no |
| Publish the menu or price list as HTML | 95% | no |
| Let AI crawlers in (no edge block, no robots.txt block) | 94% | no |
| Structured data with address, phone and hours | 47% | no |
| Have an llms.txt | 21% | no |
The top tenth is the 139 best-scoring reachable sites of the index at the last refresh.
| Average score | A or B | This site | |
|---|---|---|---|
| Sites built with WordPress 36,794 sites | 58% | 28% | 38% |
| Sites using Uber Eats 659 sites | 63% | 34% | 38% |
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Chainsmoker barbecue | 593 m | A | yes |
| Ruby’s Mediterranean Cuisine middle_eastern | 638 m | F | no |
| Original Shawerma arab, chicken, diner, international, mediterranean, sandwich, shawarma | 1.3 km | C | yes |
| Wing Machine chicken | 1.6 km | B | yes |
| Charminar indian, biryani, dosa | 1.6 km | C | yes |
| Mamajoun Pizzeria armenian, pizza | 1.8 km | F | no |
| Shahi Rasoi | 1.9 km | D | no |
| Stacked Pancake & Breakfast House breakfast | 2.0 km | C | yes |
| Eggsmart breakfast | 2.0 km | B | yes |
| Oruma Multicuisine Bistro | 2.1 km | C | no |
| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Same kind in Toronto | 1,363 | 50% | 35% | 38% |
| Built with WordPress in Toronto | 403 | 68% | 50% | 38% |
| Using Uber Eats in Toronto | 38 | 62% | 26% | 38% |
| Built with WordPress and using Uber Eats in Toronto | 17 | 65% | 29% | 38% |
Creme de la Creme Cafe A 100% · IRENE Restaurant A 87.7% · Cong Caphe B 81.5% · Pulcinella Ristorante Italiano B 73.8% · PHỞ LAN B 72.3%
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 90.3%: 91st of 1,363 in Toronto, up from 935th.
Peers are the businesses of the same index with a reachable site, latest scan of each; the rank uses the index's current ranking.
No direct path on record: the scan of 2026-10-14 found no booking or ordering link on banhmimetro.com or on a vendor's site. The same record is served as JSON at /api/direct/banhmimetro.com, through the MCP tool direct_record and in the city feed /city/toronto/direct.json.
| Path | Link | Status |
|---|---|---|
| Book | none on record | |
| Order | none on record | |
| Menu | none on record | |
| Hours | Mo-Su 11:00-18:00 (closed now) | from OpenStreetMap |
| Phone | +1-416-750-9979 |
Owners: claim the business below to correct this record; the claim email carries the link.
Measured, not scored: the Agent-Direct Score stays at specification v1.0. This says which rails an agent could transact through today, and what the booking or ordering vendor's terms allow.
| UCP profile /.well-known/ucp, Google and Shopify's Universal Commerce Protocol | not measured |
| ACP discovery document /.well-known/acp.json, OpenAI and Stripe's Agentic Commerce Protocol | not measured |
| 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 | not measured |
| Vendor terms for agents Uber Eats, read 2026-10-15 | Partners only |
Not measured at this scan; the next scan measures it.
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. Source. About Uber Eats · all vendors.
The next scan also reads the contact, menu and booking pages one hop deeper; facts found there can change the score.
The standards an agent looks for before it reads a page, on the same criteria as Cloudflare's Agent Readiness scan. Not part of the score; each missing item links to a how-to. Cloudflare's report.
| Link headers on the homepage | no how |
| sitemap.xml | no how |
| AI bot rules in robots.txt | yes |
| Content Signals in robots.txt | no how |
| Markdown on Accept: text/markdown | no how |
| llms.txt | no how |
| API catalog (RFC 9727) | no how |
| MCP server card | no how |
| A2A agent card | no how |
| Agent Skills index | no how |
| OAuth or OIDC discovery | no how |
| OAuth protected resource metadata | no how |
| auth.md | no how |
| Web Bot Auth key directory | no how |
| ARD capability manifest | no how |
| DNS-AID records | no how |
| WebMCP tools on the page | no how |
| JSON-LD for the business | no |
Each assistant is asked three questions about this business: the official website, where to book, where to order. The cell says where the answer sent people.
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.
Owners who score well embed the badge; it links back here and updates with every scan.
<a href="https://directindex.org/r/banhmimetro.com"><img src="https://directindex.org/badge/banhmimetro.com.svg" alt="Agent-Direct Score F" width="236" height="40"></a>
Fixed something, or think a check is wrong? Rescans are free. Claiming takes one email to confirm; after that the three assistants are asked about the business right away, the site is rescanned weekly, and you get a message only when the score changes.
Deep report Ten questions the way people ask, each assistant's full answer, the eight nearest similar places, the fix plan and a PDF: 19 EUR, one-off.