Mangal Kebab House
mangalcanada.com is partly visible to agents.
Listed by Overture Maps.
Ways to reach Mangal Kebab House directly, with no marketplace in between. Checked 2026-10-19. Report a mistake
1585 Warden Ave. #4, M1R 2S9, Toronto · +14374364780
The website's grade
Some AI assistants are turned away by Mangal Kebab House's website. It can read what Mangal Kebab House offers. It finds a way to book or order directly, through gosnappy.io.
40.3 of 65 points available
agent-readiness level, Not Ready
things to fix
Provisional, with the action test and the assistant citation check still to come. The hatched part of the bar isn't measured yet.
What assistants answer
Each assistant gets three questions about this business: the official website, where to book and where to order. Each cell shows where the answer sent people.
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. Mangal Kebab House wasn't one of them. See who was named →
How Mangal Kebab House compares
1,428 of 3,385 in Toronto
Top 42% of the sites scanned in this index. Just above: Hooters C, Island Foods West Indian Cuisine C. Just below: Maurya East Indian Roti Cuisine C, America Restaurant C.
| 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% | yes |
| Let AI crawlers in (no block at the server or in robots.txt) | 95% | no |
| Structured data with address, phone and hours | 50% | no |
| Have an llms.txt | 37% | no |
The top 10% are the 353 highest-scoring reachable sites in the index at the last update.
Compared with its peers
| Average score | A or B | This site | |
|---|---|---|---|
| Sites built with WordPress 68,857 sites | 58% | 30% | 62% |
Nearest places in the index
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| New Orleans Pizza pizza | 7 m | F | no |
| Authentic Greek and Mediterranean Eatery mediterranean | 18 m | F | no |
| Star Grazing Inc | 78 m | F | no |
| Silver Spoon Warden pakistani | 325 m | D | no |
| Silverspoon restaurant | 334 m | B | yes |
| Annapurna's Mithai Shoppe indian | 339 m | C | no |
| Golden House Chinese Restaurant chinese | 661 m | F | no |
| Mamajoun Pizzeria armenian, pizza | 680 m | F | no |
| China Cottage chinese | 1.1 km | D | no |
| Express Pizza pizza | 1.1 km | B | yes |
Businesses like Mangal Kebab House in Toronto
| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Businesses of the same kind in Toronto | 3,385 | 53% | 33% | 62% |
| Sites built with WordPress in Toronto | 832 | 65% | 45% | 62% |
The best of the sites built with WordPress in Toronto
Aafrien Indian Restaurant A 100% · Creme de la Creme Cafe A 100% · JZ's Pizza A 100% · Kinka Izakaya A 100% · Mangiare Italian Family Dining A 100%
After the top fixes
With the three fixes above (Booking through an unrecognised third party; Ordering through an unrecognised third party; The server turns AI crawlers away at the door), the score would be about 100%, which would be first of 3,385 in Toronto.
Peers are the businesses in the same index that have a reachable site, using the latest scan of each. The rank comes from the index's current ranking.
What to fix first
- Booking through an unrecognised third party +9 points
Check that the provider keeps your business as the seller of record. How to fix it
- Ordering through an unrecognised third party +9 points
Check that the provider keeps your business as the seller of record. How to fix it
- The server turns AI crawlers away at the door +6.7 points
Requests as GPTBot (http_403), ClaudeBot (http_403) were refused, but a normal browser got the page. That's usually a bot list at the host or in a firewall that the owner never chose. Ask the host to allow these user agents. How to fix it
- Structured data is incomplete +6 points
Missing: address, telephone, opening hours. How to fix it
- 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. How to fix it
- The phone number on the site doesn't match the open map data
The site shows (416)%20332-0520, but OpenStreetMap or Overture Maps lists +14374364780. An assistant that sees two numbers can't tell which one to trust. Fix whichever is wrong, on the site or in the map data at openstreetmap.org.
Send the fixes to your web person
No one is listed yet to fix this in Toronto. List your agency or yourself. It's free, and every listing is reviewed by hand.
Already right
- robots.txt lets AI crawlers in There's no robots.txt, which means everything is allowed.
- Structured data found (Organization) no address, phone or hours in it
- Menu or price list is an HTML page Agents can read the items and prices.
Builder: wordpress · Front: cloudflare · contact page /contact/: nothing new; menu page /menu/: nothing new; Cloudflare in front; AI crawlers blocked at the edge
What to paste
Filled in from the business's own record and this scan. Check every line before it goes live. The guides show where it goes on wordpress.
Where to paste it on WordPress: a plugin that adds code to every page's header, such as WPCode (Insert Headers and Footers), in its Header box. the official help page.
Show the code 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. Guide.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Mangal Kebab House",
"url": "http://mangalcanada.com/",
"telephone": "+14374364780",
"address": "1585 Warden Ave. #4, M1R 2S9, Toronto",
"geo": {
"@type": "GeoCoordinates",
"latitude": 43.76646557,
"longitude": -79.3015633
}
}
</script>
llms.txt
Save as /llms.txt at the root of the site. Guide.
# Mangal Kebab House > organization (turkish) in 1585 Warden Ave. #4, M1R 2S9, Toronto, Toronto. Phone +14374364780. ## Book or order directly - Menu: https://mangalcanada.com/menu/ ## About - Website: http://mangalcanada.com/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
Own this business?
If you fixed something or think a check is wrong, rescan. Rescans are free. Claiming takes one email to confirm. After that, the three assistants are asked about the business right away and the site is rescanned every week. You get a message only when the score changes.
Rescan now · Markdown · Dispute a check
Keep watching this business: the assistants are asked again every month, and you see what changed. 2 EUR a month or 19 EUR a year. Deep report: ten questions to each assistant, plus the places nearby. 5 EUR, paid once. Reading and scanning stay free. These few euros pay for the questions sent to the assistants and for the servers.
What agents get, and what the site publishes
The direct record agents get for this business, the rails an agent could transact through, and the agent standards the site publishes.
Show the details
What agents get for Mangal Kebab House
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/mangalcanada.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 | mangalcanada.com/menu/ html_page | from the scan |
| Hours | none on record | |
| Phone | +14374364780 |
Stable links that count: /go/mangalcanada.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.
Can an agent transact?
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 | 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 |
Level 0 of 5, Not Ready
These are the standards an agent looks for before it reads a page, checked the same way as Cloudflare's Agent Readiness scan. They don't count toward 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 | no how |
| 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 | yes |