# Dingles Public House: Agent-Direct Score D (46.2%)

Site: https://dinglessf.com
Report: https://directindex.org/r/dinglespublichouse.com
Scanned: 2026-10-24 (Provisional, with the action test and the assistant citation check still to come. The hatched part of the bar isn't measured yet.)
Dingles Public House is hard for agents to use.
AI assistants can't open Dingles Public House's website, so they go by what other sites say about it.

## Direct links
- Book directly: https://www.dinglespublichouse.com/reservations (on the business's own site)
- Menu: https://www.dinglespublichouse.com/menu
- Address: 333 Fulton St, 94102, San Francisco

## Nearby, also direct
Places near Dingles Public House that take a booking or an order on their own website, with no marketplace in between.
- Peacock Pansy (100 m): https://directindex.org/r/peacockpansy.com

## What to fix first
- **The site turns away every visitor that isn't a browser, AI agents included.** (+25 points) A plain fetch was refused (TimeoutError: The operation was aborted due to timeout). Only a real browser got the page. Every AI crawler and agent gets turned away the same way, so Reachable scores 0 and the rest is measured on the page as the browser rendered it. Ask the host to let the AI user agents through. Guide: https://directindex.org/guides/blocking-ai-crawlers-without-knowing
- **Structured data is incomplete.** (+7 points) Missing: address, telephone, opening hours. Guide: https://directindex.org/guides/structured-data-restaurant

## Fix kit: What to paste

Structured data (JSON-LD). Paste it as one block in the page's head, or in the builder's custom code box. Change anything that's wrong.

```html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "name": "Dingles Public House",
  "url": "https://dinglessf.com",
  "address": "333 Fulton St, 94102, San Francisco",
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 37.778607,
    "longitude": -122.422194
  },
  "potentialAction": [
    {
      "@type": "ReserveAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://www.dinglespublichouse.com/reservations",
        "actionPlatform": [
          "http://schema.org/DesktopWebPlatform",
          "http://schema.org/MobileWebPlatform"
        ]
      },
      "result": {
        "@type": "Reservation",
        "name": "Reservation"
      }
    }
  ]
}
</script>
```

## Already right
- **robots.txt lets AI crawlers in.** No rule blocks the main AI user agents.
- **Structured data found (LocalBusiness).** no address, phone or hours in it
- **Menu or price list is an HTML page.** Agents can read the items and prices.
- **Booking on your own site.** Agents can book without going through a marketplace.

## Where it stands
1380 of 2392 in San Francisco. Top 58% of the sites scanned in this index.

| What the top 10% of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 100% | yes |
| Publish the menu or price list as HTML | 89% | yes |
| Let AI crawlers in (no block at the server or in robots.txt) | 96% | no |
| Structured data with address, phone and hours | 55% | no |
| Have an llms.txt | 25% | no |

Nearest places in the index: Plaj (F, 16 m, https://directindex.org/r/plajrestaurant.com); Blue Muse Restaurant & Bar (D, 73 m, https://directindex.org/r/hayesvalleyshop.com); Phonobar & Om Sabor (F, 91 m, https://directindex.org/r/phonobarsf.com); Peacock Pansy (A, 96 m, https://directindex.org/r/peacockpansy.com); Cafe at the Opera (C, 104 m, https://directindex.org/r/patinagroup.com); Robin (D, 114 m, https://directindex.org/r/robinomakase.com); Teakwood by Burma Love (D, 122 m, https://directindex.org/r/burmafoodgroup.com); Vicolo Pizzeria (D, 150 m, https://directindex.org/r/vicolopizza.com); The Happy Crane (C, 158 m, https://directindex.org/r/thehappycranesf.com); Monsieur Benjamin (D, 161 m, https://directindex.org/r/monsieurbenjamin.com).

## What assistants answer
The assistants haven't been asked about this business yet. They're asked about the top-ranked businesses in each city index, and about any business as soon as it's claimed. Claim this page to be included.

The assistants were asked 22 everyday questions about San Francisco and named 113 places. Dingles Public House wasn't one of them. See who was named: https://directindex.org/city/san-francisco/recommended


Compared with its peers: Sites built with Squarespace 61% (41% A or B, 32150 sites); This site 46.2%.

See what an AI agent reads on this site: https://directindex.org/r/dinglespublichouse.com/agent-view

## Businesses like Dingles Public House in San Francisco

| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Businesses of the same kind in San Francisco | 2392 | 49% | 32% | 46.2% |
| Sites built with Squarespace in San Francisco | 354 | 71% | 57% | 46.2% |

The best of the sites built with Squarespace in San Francisco: Grubstake (A 100%, https://directindex.org/r/grubstakesf.com); The Pawn Shop (A 100%, https://directindex.org/r/thepawnshopsf.com); Chinatown Restaurant (A 95.4%, https://directindex.org/r/chinatownrestaurantsf.com); 54 Mint (A 93.8%, https://directindex.org/r/54mint.com); Bar Crudo (A 93.8%, https://directindex.org/r/barcrudo.com).

With the two fixes above (The site turns away every visitor that isn't a browser, AI agents included; Structured data is incomplete), the score would be about 95.4%. That would be 42nd of 2,392 in San Francisco, up from 1380th.

## The direct record
What agents get for Dingles Public House, as JSON: https://directindex.org/api/direct/dinglespublichouse.com
- Book: https://www.dinglespublichouse.com/reservations (own site; found by the scan of 2026-10-24, not yet tested)
- Order: none on record
- Menu: https://www.dinglespublichouse.com/menu (html_page; from the scan)
- Hours: none on record
- Phone: none on record
- Stable links that count: https://directindex.org/go/dinglespublichouse.com/book, https://directindex.org/go/dinglespublichouse.com/menu

## Can an agent transact?
Measured, not scored (the score stays at spec v1.0).
- UCP profile (/.well-known/ucp, Google and Shopify's Universal Commerce Protocol): no
- ACP discovery document (/.well-known/acp.json, OpenAI and Stripe's Agentic Commerce Protocol): no
- MCP server card (/.well-known/mcp/server-card.json): no
- Ordering vendor that takes agent orders (Square, Toast, or a vendor whose terms allow agents): no

Only a real browser got this page (a plain fetch got TimeoutError: The operation was aborted due to timeout); Readable and Actionable were measured on the rendered page.

## Score breakdown
| Component | Points | Available |
|---|---|---|
| Reachable | 0 | 25 |
| Readable | 15 | 25 |
| Actionable | 15 | 15 (the action test: pending) |
| Cited | 0 | 0 (the assistant citation check: pending) |

## Agent readiness (Cloudflare)
Not measured for this scan.
- JSON-LD for the business: yes

Keep watching this business (https://directindex.org/r/dinglespublichouse.com/plan): the assistants are asked again every month, and you see what changed. 2 EUR a month or 19 EUR a year.
Deep report: https://directindex.org/r/dinglespublichouse.com/deep. Ten questions phrased the way people ask them, each assistant's full answer, the eight nearest similar places, the fix plan and a PDF. 5 EUR, paid once. Reading and scanning stay free. These few euros pay for the questions sent to the assistants and for the servers.
Methodology: https://directindex.org/methodology · Rescan now: https://directindex.org/scan?url=dinglespublichouse.com&force=1