charminarindiancuisine.com is partly visible to agents.
An AI assistant can open the website of Charminar. It can read what Charminar offers. It finds a way to book or order directly, through DoorDash Storefront.
Listed by OpenStreetMap · Overture Maps.
Order directly: order.online/business/charminar-indian-cuisine-1028026 through doordash_storefront acting for the business · Menu: charminarindiancuisine.com/foodmenu
See what an AI agent reads on this site →
42 of 65 points available
agent-readiness level, Basic Web Presence
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.
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.
Top 41% of the sites scanned in this index. Just above: California Sandwiches C, Campo C. Just below: Dum Pukht C, Fusaro's Italian Kitchen C.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 99% | yes |
| Publish the menu or price list as HTML | 94% | yes |
| Let AI crawlers in (no edge block, no robots.txt block) | 93% | yes |
| Structured data with address, phone and hours | 52% | no |
| Have an llms.txt | 20% | no |
The top tenth is the 98 best-scoring reachable sites of the index at the last refresh.
| Average score | A or B | This site | |
|---|---|---|---|
| Sites using DoorDash Storefront 546 sites | 72% | 60% | 64.6% |
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Eggsmart breakfast | 412 m | B | yes |
| Five Guys burger | 552 m | C | no |
| Shirin Kebab House kebab | 1.0 km | D | no |
| Yummy Gardens thai | 1.5 km | F | no |
| Khazana by Khazana Mithai bangladeshi | 1.6 km | B | yes |
| Banh Mi Metro vietnamese, bánh_mì | 1.6 km | F | no |
| Hakka Bistro hakka, nepali | 1.8 km | A | yes |
| Ruby’s Mediterranean Cuisine middle_eastern | 1.8 km | F | no |
| Sultan of Samosas indian | 1.9 km | D | no |
| Churrasco Portugril portuguese | 2.1 km | F | no |
| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Businesses of the same kind in Toronto | 980 | 50% | 35% | 64.6% |
| Sites using DoorDash Storefront in Toronto | 19 | 69% | 42% | 64.6% |
Shawarma Royale A 92.3% · Moxie's B 84.6% · Gus Tacos B 76.9% · Teriyaki Experience B 76.9% · Anchor Bar B 75.4%
With the fix above (No structured data for the business) the score would be about 87.7%: 83rd of 980 in Toronto, up from 399th.
Peers are the businesses of the same index with a reachable site, latest scan of each; the rank uses the index's current ranking.
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
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: unknown · Front: cloudflare
Filled from the business's own record and this scan. Check every line before it goes live; where it goes on your builder 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": "Charminar",
"url": "https://charminarindiancuisine.com/",
"telephone": "+1-416-285-7774",
"address": {
"@type": "PostalAddress",
"streetAddress": "Warden Avenue 925",
"postalCode": "M1L 4C5"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 43.7311223,
"longitude": -79.288276
},
"servesCuisine": [
"indian",
"biryani",
"dosa"
],
"hasMenu": "https://charminarindiancuisine.com/foodmenu",
"potentialAction": [
{
"@type": "OrderAction",
"target": {
"@type": "EntryPoint",
"urlTemplate": "https://order.online/business/charminar-indian-cuisine-1028026",
"actionPlatform": [
"http://schema.org/DesktopWebPlatform",
"http://schema.org/MobileWebPlatform"
]
}
}
]
}
</script>
Save as /llms.txt at the root of the site. Guide.
# Charminar > restaurant (indian, biryani, dosa) in Warden Avenue 925 M1L 4C5, Toronto. Phone +1-416-285-7774. ## Book or order directly - Order: https://order.online/business/charminar-indian-cuisine-1028026 (through doordash_storefront acting for the business) - Menu: https://charminarindiancuisine.com/foodmenu ## About - Website: https://charminarindiancuisine.com/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
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.
Rescan now · Markdown · Dispute a check
Keep watching this business: the assistants asked again every month, with what changed; 2 EUR a month or 19 EUR a year. Deep report: ten questions to each assistant and the places nearby; 5 EUR once. Reading and scanning stay free; these few euros pay for the questions sent to the assistants and for the servers.
The direct record an agent is served for this business, the rails it could transact through, and the agent standards the site publishes.
The links an assistant is sent when it books, orders or reads the menu for this business, where each leads, and when a browser last checked it. The same record is served as JSON at /api/direct/charminarindiancuisine.com, through the MCP tool direct_record and in the city feed /city/toronto/direct.json.
| Path | Link | Status |
|---|---|---|
| Book | none on record | |
| Order | order.online/business/charminar-indian-cuisine-1028026 vendor on own site: DoorDash Storefront | found by the scan of 2026-10-14, not yet tested |
| Menu | charminarindiancuisine.com/foodmenu html_page | from the scan |
| Hours | none on record | |
| Phone | +1-416-285-7774 |
Stable links that count: /go/charminarindiancuisine.com/order, /go/charminarindiancuisine.com/menu answer 302 to the links above; the count is the line "followed N direct links" on this page.
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 DoorDash Storefront, read | Not stated |
Not measured at this scan; the next scan measures it.
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. About DoorDash Storefront · 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 | yes |
| 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 |