The Dog & Bear Pub
dogandbear.ca is hard for agents to use.
Menu: files.cargocollective.com/c539284/Dog-and-Bear---2026-Menu.p
See what an AI agent reads on this site →
27 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 +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 for a restaurant. It is the one block every assistant reads first. How to fix it
- No booking or ordering path at all +15 points
Agents have nothing to act on. Add a booking or ordering page on your own domain. How to fix it
- Menu is a PDF +3 points
Most agents skip PDFs or read them badly. Publish the menu as HTML, keep the PDF as a download. How to fix it
- Almost no text without JavaScript +2 points
Crawlers that do not run scripts see an empty page. Render the menu, hours and address as plain HTML. 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 cafes and bars. 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.
Builder: webflow · 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 webflow 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; add priceRange if you like. Guide.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "BarOrPub",
"name": "The Dog & Bear Pub",
"url": "https://dogandbear.ca/",
"telephone": "+1-647-352-8601",
"address": {
"@type": "PostalAddress",
"streetAddress": "Queen Street West 1100",
"postalCode": "M6J 1H9",
"addressLocality": "Toronto"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 43.6434853,
"longitude": -79.4228957
},
"openingHours": "Mo-Fr 11:00-02:00; Sa,Su 10:00-02:00",
"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Monday",
"Tuesday",
"Wednesday",
"Thursday",
"Friday"
],
"opens": "11:00",
"closes": "02:00"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Saturday",
"Sunday"
],
"opens": "10:00",
"closes": "02:00"
}
],
"hasMenu": "https://files.cargocollective.com/c539284/Dog-and-Bear---2026-Menu.pdf"
}
</script>
llms.txt
Save as /llms.txt at the root of the site. Guide.
# The Dog & Bear Pub > bar or pub in Queen Street West 1100 M6J 1H9 Toronto, Toronto cafes and bars. Phone +1-647-352-8601. ## Book or order directly - Menu: https://files.cargocollective.com/c539284/Dog-and-Bear---2026-Menu.pdf ## Opening hours Mo-Fr 11:00-02:00; Sa,Su 10:00-02:00 ## About - Website: https://dogandbear.ca/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
252 of 456 in Toronto cafes and bars
Top 55% of the sites scanned in this index. Just above: Sweet Palette Dessert and Tea D, Macu Tea D. Just below: Daigyo Cafe D, Cibo Wine Bar D.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 85% | no |
| Publish the menu or price list as HTML | 87% | no |
| Let AI crawlers in (no edge block, no robots.txt block) | 96% | yes |
| Structured data with address, phone and hours | 24% | no |
| Have an llms.txt | 33% | no |
The top tenth is the 46 best-scoring reachable sites of the index at the last refresh.
Against its peers
| Average score | A or B | This site | |
|---|---|---|---|
| Sites built with Webflow 1,854 sites | 57% | 25% | 41.5% |
Nearest places in the index
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Bar Piquette | 77 m | D | no |
| Dirty Laundry Bar mexican | 274 m | C | no |
| CAFE GIGI breakfast | 276 m | D | no |
| Lipstick & Dynamite | 381 m | F | no |
| Small Talk american, tapas | 426 m | B | yes |
| Louie Coffee coffee_shop | 523 m | D | no |
| Found Coffee Bellwoods | 623 m | F | no |
| Danu Social House | 627 m | D | no |
| Bar Libretto pizza | 637 m | B | yes |
| Sugar Daddy Doughnuts donut | 645 m | C | yes |
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.
| 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/dogandbear.ca"><img src="https://directindex.org/badge/dogandbear.ca.svg" alt="Agent-Direct Score D" 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.