High Horse SF

What to fix first

1. Structured data is incomplete +1 points

   Missing: telephone. How to fix it

2. 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. 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.
• Structured data present (LocalBusiness) address, opening hours
• 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: 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": "High Horse SF",
  "url": "https://highhorsesf.com/",
  "telephone": "+1-415-981-1500",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "Washington Street 582",
    "postalCode": "94111",
    "addressLocality": "San Francisco"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 37.7956912,
    "longitude": -122.4028537
  },
  "openingHours": "Mo-Fr 11:00-23:00; Sa 14:00-24:00",
  "openingHoursSpecification": [
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Monday",
        "Tuesday",
        "Wednesday",
        "Thursday",
        "Friday"
      ],
      "opens": "11:00",
      "closes": "23:00"
    },
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Saturday"
      ],
      "opens": "14:00",
      "closes": "24:00"
    }
  ],
  "acceptsReservations": "https://highhorsesf.com/events",
  "hasMenu": "https://highhorsesf.com/menu",
  "potentialAction": [
    {
      "@type": "ReserveAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://highhorsesf.com/events",
        "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.

# High Horse SF

> restaurant in Washington Street 582 94111 San Francisco, San Francisco. Phone +1-415-981-1500.

## Book or order directly

- Book: https://highhorsesf.com/events (on the business's own site)
- Menu: https://highhorsesf.com/menu

## Opening hours

Mo-Fr 11:00-23:00; Sa 14:00-24:00

## About

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

26 of 1,261 in San Francisco

Top 2% of the sites scanned in this index. Just above: Benihana A, Dog Haus A. Just below: Jijime A, Nopa A.

The top tenth is the 127 best-scoring reachable sites of the index at the last refresh.

Against its peers

Nearest places in the index

Businesses like High Horse SF in San Francisco

The best of Built with Squarespace in San Francisco

Piatti A 100% · The Pawn Shop A 100% · 54 Mint A 93.8% · 7 Mile House Sports Bar & Grill A 93.8% · Bar Crudo A 93.8%

The climb

With the fix above (Structured data is incomplete) the score would be about 95.4%: 15th of 1,261 in San Francisco, up from 26th.

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 High Horse SF

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/highhorsesf.com, through the MCP tool direct_record and in the city feed /city/san-francisco/direct.json.

Stable links that count: /go/highhorsesf.com/book, /go/highhorsesf.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 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/highhorsesf.com"><img src="https://directindex.org/badge/highhorsesf.com.svg" alt="Agent-Direct Score A" 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.