La Belle et La Boeuf

What to fix first

1. 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

2. Menu or price list is a PDF +3 points

   Most agents skip PDFs or read them badly. Publish it as HTML, keep the PDF as a download. How to fix it

3. Ordering only through ubereats no points, still worth doing

   Every agent transaction goes through the marketplace and its commission. Add a direct path on your own site, even a simple form. How to fix it About this vendor

4. 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 Montreal. 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.
• Booking on your own site Agents can book 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) 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": "Restaurant",
  "name": "La Belle et La Boeuf",
  "url": "https://belleetboeuf.com/restaurants/laval-centropolis",
  "telephone": "+1-450-954-0777",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "Promenade Du Centropolis 510",
    "postalCode": "H7T 3C2"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 45.5611486,
    "longitude": -73.7458146
  },
  "openingHours": "Mo 16:00-23:00; Tu-We 11:30-23:00; Th-Sa 11:30-24:00; Su 11:30-23:00",
  "openingHoursSpecification": [
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Monday"
      ],
      "opens": "16:00",
      "closes": "23:00"
    },
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Tuesday",
        "Wednesday"
      ],
      "opens": "11:30",
      "closes": "23:00"
    },
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Thursday",
        "Friday",
        "Saturday"
      ],
      "opens": "11:30",
      "closes": "24:00"
    },
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Sunday"
      ],
      "opens": "11:30",
      "closes": "23:00"
    }
  ],
  "servesCuisine": [
    "burger"
  ],
  "acceptsReservations": "https://belleetboeuf.com/reserve-en-ligne",
  "hasMenu": "http://belleetboeuf.com/wp-content/uploads/2026/06/LBLB_JUNE2026_REGULAR_MENU_WEB-02-1.pdf",
  "potentialAction": [
    {
      "@type": "ReserveAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://belleetboeuf.com/reserve-en-ligne",
        "actionPlatform": [
          "http://schema.org/DesktopWebPlatform",
          "http://schema.org/MobileWebPlatform"
        ]
      },
      "result": {
        "@type": "Reservation",
        "name": "Reservation"
      }
    }
  ]
}
</script>

llms.txt Copy

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

# La Belle et La Boeuf

> restaurant (burger) in Promenade Du Centropolis 510 H7T 3C2, Montreal. Phone +1-450-954-0777.

## Book or order directly

- Book: https://belleetboeuf.com/reserve-en-ligne (on the business's own site)
- Menu: http://belleetboeuf.com/wp-content/uploads/2026/06/LBLB_JUNE2026_REGULAR_MENU_WEB-02-1.pdf

## Opening hours

Mo 16:00-23:00; Tu-We 11:30-23:00; Th-Sa 11:30-24:00; Su 11:30-23:00

## About

- Website: https://belleetboeuf.com/restaurants/laval-centropolis
- This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.

222 of 808 in Montreal

Top 27% of the sites scanned in this index. Just above: Coba C, Kitchen Galerie C. Just below: Le Trou C, Naguara C.

The top tenth is the 83 best-scoring reachable sites of the index at the last refresh.

Against its peers

Nearest places in the index

Businesses like La Belle et La Boeuf in Montreal

The best of Built with WordPress and using Uber Eats in Montreal

Chez Gatse A 88.8% · La Toxica A 86.3% · Modavie B 83.1% · Devi B 82.5% · Il Bazzali B 76.9%

The climb

With the two fixes above (No structured data for the business; Menu or price list is a PDF) the score would be about 95.4%: 6th of 808 in Montreal, up from 222nd.

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 La Belle et La Boeuf

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/belleetboeuf.com, through the MCP tool direct_record and in the city feed /city/montreal/direct.json.

Stable links that count: /go/belleetboeuf.com/book, /go/belleetboeuf.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.

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 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.

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/belleetboeuf.com"><img src="https://directindex.org/badge/belleetboeuf.com.svg" alt="Agent-Direct Score C" 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.