Veggie & Vega

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 +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. No booking or ordering link on the website +15 points

   Agents find no link to follow on the site. If you take bookings or orders through a platform, link to it from the site so an agent can find it. Add a booking or ordering page on your own domain. How to fix it

3. robots.txt blocks GPTBot, ClaudeBot, PerplexityBot, Google-Extended, OAI-SearchBot, ChatGPT-User, Claude-User, Perplexity-User +10 points

   These are the crawlers behind ChatGPT, Claude, Perplexity and Google's AI features. Remove the Disallow lines for them, or add explicit Allow rules. How to fix it

4. 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

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

   Live fetches as PerplexityBot (http_503) 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

6. 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 Berlin. List your agency or yourself: free, reviewed by hand.

Builder: unknown · 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 your builder is in the guides.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Restaurant",
  "name": "Veggie & Vega",
  "url": "https://veggievega.berlin/",
  "telephone": "+49 30 64165590",
  "email": "info@veggievega.berlin",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "Gneisenaustraße 5"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 52.4923286,
    "longitude": 13.3889542
  },
  "openingHours": "Mo-Su 11:30-23:00",
  "openingHoursSpecification": [
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [],
      "opens": "11:30",
      "closes": "23:00"
    }
  ]
}
</script>

# Let AI assistants read the site: they send people to you; a marketplace keeps them.
# Remove any Disallow lines for these names elsewhere in this file.
User-agent: GPTBot
Allow: /

User-agent: ClaudeBot
Allow: /

User-agent: PerplexityBot
Allow: /

User-agent: Google-Extended
Allow: /

User-agent: OAI-SearchBot
Allow: /

User-agent: ChatGPT-User
Allow: /

User-agent: Claude-User
Allow: /

User-agent: Perplexity-User
Allow: /

# Veggie & Vega

> restaurant in Gneisenaustraße 5, Berlin. Phone +49 30 64165590.

## Opening hours

Mo-Su 11:30-23:00

## About

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