18feet Espresso Bar & The Cheong
18feet.ca is hard for agents to use.
See what an AI agent reads on this site →
33 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.
What to fix first
- No structured data for the business +15 points
Add schema.org JSON-LD for the business (CafeOrCoffeeShop, BarOrPub or the closest type, with name, address, telephone and openingHoursSpecification, plus servesCuisine). It is the one block every assistant reads first; the fix kit below has it filled in. How to fix it
- Ordering through an unrecognised third party +9 points
Check that the provider keeps you as the merchant of record. How to fix it
- Menu or price list lives on another site +5 points
The link points to masigo.app, so the credit and the traffic go there. 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 There is no robots.txt, which allows everything.
- AI crawlers get the page GPTBot, ClaudeBot and PerplexityBot all received a normal response.
Builder: unknown · 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 your builder 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": "CafeOrCoffeeShop",
"name": "18feet Espresso Bar & The Cheong",
"url": "https://www.18feet.ca/",
"email": "info@18feet.ca",
"address": {
"@type": "PostalAddress",
"streetAddress": "Yonge Street 1967"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 43.6998814,
"longitude": -79.396678
},
"servesCuisine": [
"coffee shop",
"bagel"
],
"hasMenu": "https://masigo.app/"
}
</script>
llms.txt
Save as /llms.txt at the root of the site. Guide.
# 18feet Espresso Bar & The Cheong > cafe or coffee shop (coffee shop, bagel) in Yonge Street 1967, Toronto cafes and bars. ## Book or order directly - Menu: https://masigo.app/ ## About - Website: https://www.18feet.ca/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
191 of 456 in Toronto cafes and bars
Top 42% of the sites scanned in this index. Just above: Sloppy Joe's D, Starbucks D. Just below: Bar Hop Brewco D, Bevy 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.
Nearest places with a similar menu
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Rachel's Coffee House coffee_shop | 125 m | C | no |
| Crosstown Coffee Bar coffee_shop | 982 m | F | no |
| JJ Bean coffee_shop | 1.3 km | A | yes |
| Two Wheels Cafe coffee_shop | 1.8 km | F | no |
| Bakery Garden Café coffee_shop | 2.5 km | C | yes |
| Queen Bean Coffee Roasters coffee_shop | 2.7 km | B | yes |
| Ezra's Pound coffee_shop | 2.8 km | D | no |
| Starbucks coffee_shop | 2.9 km | F | no |
| First and Last Coffee Shop coffee_shop | 3.0 km | F | no |
| Primose Bagel Co. bagel | 3.7 km | A | yes |
Level 0 of 5, Not Ready
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 | no how |
| 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 | 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/18feet.ca"><img src="https://directindex.org/badge/18feet.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.