Ha-Ra

What to fix first

1. No structured data for the business +15 points

   Add schema.org JSON-LD for the business (CafeOrCoffeeShop, BarOrPub or the closest type, with name, address, telephone and openingHoursSpecification, plus servesCuisine). 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 path at all +15 points

   Agents have nothing to act on. Add a booking or ordering page on your own domain. How to fix it

3. 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

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 San Francisco cafes and bars. List your agency or yourself: free, reviewed by hand.

Already right

• robots.txt lets AI crawlers in There is no robots.txt, which allows everything.
• AI crawlers get the page GPTBot, ClaudeBot and PerplexityBot all received a normal response.

Builder: unknown · 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 your builder is in the guides.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "BarOrPub",
  "name": "Ha-Ra",
  "url": "http://harasf.com/",
  "telephone": "+1 415 6733148",
  "email": "haraclubsf@gmail.com",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "Geary Street 875",
    "postalCode": "94109",
    "addressLocality": "San Francisco"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 37.7860732,
    "longitude": -122.4176448
  }
}
</script>

# Ha-Ra

> bar or pub in Geary Street 875 94109 San Francisco, San Francisco cafes and bars. Phone +1 415 6733148.

## About

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