Black Labely

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.

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. The server turns AI crawlers away at the door +3.3 points

   Live fetches as PerplexityBot (http_429) 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

Send the fixes to your web person

No one is listed yet to fix this in Lisbon. 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.

Builder: wordpress · Front: cloudflare · contact page /contactos/: nothing new; menu page /menu-black-labely/: 44 prices; booking page /reservas/: nothing new; 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 wordpress is in the guides.

Where to paste it on WordPress: a plugin that adds code to every page's header, such as WPCode (Insert Headers and Footers), in its Header box. the official help page.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "name": "Black Labely",
  "url": "https://blacklabely.pt/",
  "telephone": "+351938391792",
  "address": "Passeio Neptuno 25k, 1990-193, Lisboa",
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 38.75841195,
    "longitude": -9.09372763
  },
  "potentialAction": [
    {
      "@type": "ReserveAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://blacklabely.pt/reservas/",
        "actionPlatform": [
          "http://schema.org/DesktopWebPlatform",
          "http://schema.org/MobileWebPlatform"
        ]
      },
      "result": {
        "@type": "Reservation",
        "name": "Reservation"
      }
    }
  ]
}
</script>

# Black Labely

> local business in Passeio Neptuno 25k, 1990-193, Lisboa, Lisbon. Phone +351938391792.

## Book or order directly

- Book: https://blacklabely.pt/reservas/ (on the business's own site)
- Menu: https://blacklabely.pt/menu-black-labely/

## About

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