Fahrenheit Coffee

What to fix first

1. 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

2. Ordering through an unrecognised third party +9 points

   Check that the provider keeps you as the merchant of record. How to fix it

3. No menu or price list found +7 points

   Agents answer 'what do they offer' from marketplaces instead. Add a menu or price list page and link it from the homepage. How to fix it

4. No working HTTPS +3 points

   The page is only served over plain http. Agents and browsers downrank or refuse it.

5. 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) Copy

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": "CafeOrCoffeeShop",
  "name": "Fahrenheit Coffee",
  "url": "http://www.fahrenheitcoffee.com/",
  "telephone": "+1-647-896-1774",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "Lombard Street 120",
    "postalCode": "M5C 3H5",
    "addressLocality": "Toronto"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 43.6524109,
    "longitude": -79.3729155
  },
  "servesCuisine": [
    "coffee shop"
  ]
}
</script>

llms.txt Copy

Save as /llms.txt at the root of the site. Guide.

# Fahrenheit Coffee

> cafe or coffee shop (coffee shop) in Lombard Street 120 M5C 3H5 Toronto, Toronto cafes and bars. Phone +1-647-896-1774.

## About

- Website: http://www.fahrenheitcoffee.com/
- This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.

248 of 403 in Toronto cafes and bars

Top 62% of the sites scanned in this index. Just above: Carbonic Coffee D, ChaHalo D. Just below: Flash on Church D, Sweet Palette Dessert and Tea D.

The top tenth is the 41 best-scoring reachable sites of the index at the last refresh.

Nearest places with a similar menu

Businesses like Fahrenheit Coffee in Toronto cafes and bars

The best of Same kind in Toronto cafes and bars

The Berczy Tavern A 100% · Yellow Cup Cafe A 100% · Marry Me Mochi A 93.8% · Wei's Bar & Variety A 93.8% · VMV's Bar & Grill A 92.1%

The climb

With the three fixes above (No structured data for the business; Ordering through an unrecognised third party; No menu or price list found) the score would be about 90.8%: 7th of 403 in Toronto cafes and bars, up from 248th.

Peers are the businesses of the same index with a reachable site, latest scan of each; the rank uses the index's current ranking.

What agents get for Fahrenheit Coffee

No direct path on record: the scan of 2026-10-14 found no booking or ordering link on fahrenheitcoffee.com or on a vendor's site. The same record is served as JSON at /api/direct/fahrenheitcoffee.com, through the MCP tool direct_record and in the city feed /city/toronto-cafes-bars/direct.json.

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.

Not measured at this scan; the next scan measures it.

The next scan also reads the contact, menu and booking pages one hop deeper; facts found there can change the score.

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. Cloudflare's report.

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/fahrenheitcoffee.com"><img src="https://directindex.org/badge/fahrenheitcoffee.com.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.

Rescan now Markdown

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.