La Kaz

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. The server turns AI crawlers away at the door +6.7 points

   Live fetches as GPTBot (http_403), ClaudeBot (http_403) were refused while a normal browser got the page. This is usually a hosting or firewall bot list the owner never chose. Ask the host to allow these user agents. 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 Munich. 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.
• Menu or price list is an HTML page Agents can read items and prices directly.
• Booking on your own site Agents can book without a marketplace in the loop.
• Ordering on your own site Agents can order without a marketplace in the loop.

Builder: jimdo · Front: cloudflare · Cloudflare in front; AI crawlers blocked at the edge

What to paste

Filled from the business's own record and this scan. Check every line before it goes live; where it goes on jimdo 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 Kaz",
  "url": "https://www.lakaz.de/",
  "telephone": "+49 89 7699 0710",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "Ligsalzstraße 38",
    "postalCode": "80339",
    "addressLocality": "München"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 48.1347281,
    "longitude": 11.542253
  },
  "openingHours": "Mo-Th 12:00-14:30,17:30-00:00 ; Fr 12:00-14:30,17:30-01:00 ; Sa 17:30-01:00 ; Su 17:30-23:00",
  "openingHoursSpecification": [
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Monday",
        "Tuesday",
        "Wednesday",
        "Thursday"
      ],
      "opens": "12:00",
      "closes": "14:30"
    },
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Monday",
        "Tuesday",
        "Wednesday",
        "Thursday"
      ],
      "opens": "17:30",
      "closes": "00:00"
    },
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Friday"
      ],
      "opens": "12:00",
      "closes": "14:30"
    },
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Friday"
      ],
      "opens": "17:30",
      "closes": "01:00"
    },
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Saturday"
      ],
      "opens": "17:30",
      "closes": "01:00"
    },
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Sunday"
      ],
      "opens": "17:30",
      "closes": "23:00"
    }
  ],
  "acceptsReservations": "https://www.lakaz.de/reservierung/",
  "hasMenu": "https://www.lakaz.de/",
  "potentialAction": [
    {
      "@type": "ReserveAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://www.lakaz.de/reservierung/",
        "actionPlatform": [
          "http://schema.org/DesktopWebPlatform",
          "http://schema.org/MobileWebPlatform"
        ]
      },
      "result": {
        "@type": "Reservation",
        "name": "Reservation"
      }
    },
    {
      "@type": "OrderAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://www.lakaz.de/j/shop/deliveryinfo",
        "actionPlatform": [
          "http://schema.org/DesktopWebPlatform",
          "http://schema.org/MobileWebPlatform"
        ]
      }
    }
  ]
}
</script>

llms.txt Copy

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

# La Kaz

> restaurant in Ligsalzstraße 38 80339 München, Munich. Phone +49 89 7699 0710.

## Book or order directly

- Book: https://www.lakaz.de/reservierung/ (on the business's own site)
- Order: https://www.lakaz.de/j/shop/deliveryinfo (on the business's own site)
- Menu: https://www.lakaz.de/

## Opening hours

Mo-Th 12:00-14:30,17:30-00:00 ; Fr 12:00-14:30,17:30-01:00 ; Sa 17:30-01:00 ; Su 17:30-23:00

## About

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

597 of 1,863 in Munich

Top 32% of the sites scanned in this index. Just above: König Ludwig an der Messe C, La Cucina Trattoria C. Just below: PizzaExpress C, Ristorante da Ugo C.

The top tenth is the 188 best-scoring reachable sites of the index at the last refresh.

Against its peers

Nearest places in the index

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/lakaz.de"><img src="https://directindex.org/badge/lakaz.de.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.