Restaurant Speakeasy

What to fix first

1. 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). It is the one block every assistant reads first; the fix kit below has it filled in. How to fix it

2. 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

3. 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.
• Menu or price list is an HTML page Agents can read items and prices directly.
• Booking through libro on your own domain No marketplace commission, and the guest stays yours.

Builder: squarespace · 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 squarespace 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": "Restaurant Speakeasy",
  "url": "https://lespeakeasymtl.com",
  "telephone": "+1-514-903-7710",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "Rue McGill 120",
    "postalCode": "H3C 1W7",
    "addressLocality": "Montréal"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 45.4995302,
    "longitude": -73.5557326
  },
  "openingHours": "Mo-Th 17:00-23:00; Fr 17:00-00:00; Sa 18:00-00:00; Su 18:00-23:00",
  "openingHoursSpecification": [
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Monday",
        "Tuesday",
        "Wednesday",
        "Thursday"
      ],
      "opens": "17:00",
      "closes": "23:00"
    },
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Friday"
      ],
      "opens": "17:00",
      "closes": "00:00"
    },
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Saturday"
      ],
      "opens": "18:00",
      "closes": "00:00"
    },
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Sunday"
      ],
      "opens": "18:00",
      "closes": "23:00"
    }
  ],
  "acceptsReservations": "https://booking.libroreserve.com/25a52f43a130980/QC016953914488/seat",
  "hasMenu": "https://www.lespeakeasymtl.com/menu-speakeasy",
  "potentialAction": [
    {
      "@type": "ReserveAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://booking.libroreserve.com/25a52f43a130980/QC016953914488/seat",
        "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.

# Restaurant Speakeasy

> restaurant in Rue McGill 120 H3C 1W7 Montréal, Montreal. Phone +1-514-903-7710.

## Book or order directly

- Book: https://booking.libroreserve.com/25a52f43a130980/QC016953914488/seat (through libro acting for the business)
- Menu: https://www.lespeakeasymtl.com/menu-speakeasy

## Opening hours

Mo-Th 17:00-23:00; Fr 17:00-00:00; Sa 18:00-00:00; Su 18:00-23:00

## About

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

314 of 808 in Montreal

Top 39% of the sites scanned in this index. Just above: Restaurant Lafayette C, Restaurant Singh's C. Just below: Resto-Bombay-Grill C, Saint Pizza 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 Restaurant Speakeasy in Montreal

The best of Built with Squarespace and using Libro in Montreal

Le Taj B 81.5% · Porte à Côté B 81.5% · Le Butterblume B 78.5% · Rose Ross B 78.5% · Shūshū B 75.4%

The climb

With the two fixes above (No structured data for the business; Almost no text without JavaScript) the score would be about 87.7%: 31st of 808 in Montreal, up from 314th.

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 Restaurant Speakeasy

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

Stable links that count: /go/lespeakeasymtl.com/book, /go/lespeakeasymtl.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 terms say nothing about automated use, could not be read on the date given, or the vendor has not been researched yet. About Libro · all vendors.

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