The Great Canadian Bagel
greatcanadianbagel.com is mostly ready for agents.
Order directly: greatcanadianbagel.com/store-locations/ on the business's own site · Menu: greatcanadianbagel.com/menu-selections/
See what an AI agent reads on this site →
48 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.
What to fix first
- 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. How to fix it
- No llms.txt no points, still worth doing
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.
Already right
- robots.txt lets AI crawlers in No rule blocks the key AI user agents.
- 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 on your own site Agents can order without a marketplace in the loop.
Builder: wordpress · Front: cloudflare
What to paste
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.
Structured data (JSON-LD)
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": "FastFoodRestaurant",
"name": "The Great Canadian Bagel",
"url": "https://www.greatcanadianbagel.com",
"telephone": "+19055661903",
"address": {
"@type": "PostalAddress",
"streetAddress": "King Street West 100"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 43.6482457,
"longitude": -79.3831317
},
"hasMenu": "https://greatcanadianbagel.com/menu-selections/",
"potentialAction": [
{
"@type": "OrderAction",
"target": {
"@type": "EntryPoint",
"urlTemplate": "https://greatcanadianbagel.com/store-locations/",
"actionPlatform": [
"http://schema.org/DesktopWebPlatform",
"http://schema.org/MobileWebPlatform"
]
}
}
]
}
</script>
llms.txt
Save as /llms.txt at the root of the site. Guide.
# The Great Canadian Bagel > fast food restaurant in King Street West 100, Toronto. Phone +19055661903. ## Book or order directly - Order: https://greatcanadianbagel.com/store-locations/ (on the business's own site) - Menu: https://greatcanadianbagel.com/menu-selections/ ## About - Website: https://www.greatcanadianbagel.com - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
357 of 1,531 in Toronto
Top 23% of the sites scanned in this index. Just above: The Diner's Corner B, The Friendly Greek B. Just below: The Old Spaghetti Factory B, The Shore Club B.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 97% | yes |
| Publish the menu or price list as HTML | 95% | yes |
| Let AI crawlers in (no edge block, no robots.txt block) | 92% | yes |
| Structured data with address, phone and hours | 45% | no |
| Have an llms.txt | 20% | no |
The top tenth is the 155 best-scoring reachable sites of the index at the last refresh.
Against its peers
| Average score | A or B | This site | |
|---|---|---|---|
| Sites built with WordPress 35,830 sites | 57% | 26% | 73.8% |
Nearest places in the index
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Earls american | 73 m | B | yes |
| Hello Nori japanese | 136 m | B | yes |
| Pizzeria Libretto pizza | 149 m | B | yes |
| Cafe Landwer coffee_shop | 177 m | B | yes |
| Cactus Club Cafe international | 222 m | B | yes |
| Tecolote Market mexican | 234 m | B | yes |
| Cultures sandwich | 239 m | B | no |
| Little Anthony's | 242 m | A | yes |
| Estiatorio Volos greek | 262 m | A | yes |
| Rosalinda mexican | 268 m | D | no |
Level 1 of 5, Basic Web Presence
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 |
What assistants answer
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.
Show the score
Owners who score well embed the badge; it links back here and updates with every scan.
<a href="https://directindex.org/r/greatcanadianbagel.com"><img src="https://directindex.org/badge/greatcanadianbagel.com.svg" alt="Agent-Direct Score B" width="236" height="40"></a>
Own this business?
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.