# The Angry Dog: Agent-Direct Score C (64.6%)

Site: http://www.theangrydog.com.au/
Report: https://directindex.org/r/theangrydog.com.au
Scanned: 2026-10-18 (Provisional, with the action test and the assistant citation check still to come. The hatched part of the bar isn't measured yet.)
The Angry Dog is partly visible to agents.
An AI assistant can open The Angry Dog's website. It can read what The Angry Dog offers. It finds a way to book or order directly, through resOS.

## Direct links
- Book directly: https://the-angry-dog.resos.com/booking (through resos acting for the business)
- Order directly: https://app.squareup.com/loyalty/MLCA614AAPYZ7 (through square acting for the business)
- Menu: https://www.theangrydog.com.au/menu1
- Phone: +61411964777

## What to fix first
- Prices: 3 prices on the site, the middle one A$10.00

## What the site tells visitors (Measured, not scored)
- **3 prices on the landing page, the middle one A$10.00.** In Melbourne, the middle price of comparable sites that show prices is A$23.00.

- **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). Every assistant reads this block first, and the fix kit below has it filled in. Guide: https://directindex.org/guides/structured-data-restaurant
- **No llms.txt.** (no points, but worth doing) Optional for now and cheap to add. It's a short text file that describes the business for language models. Guide: https://directindex.org/guides/llms-txt-for-a-business

## 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": "The Angry Dog",
  "url": "http://www.theangrydog.com.au/",
  "telephone": "+61411964777",
  "address": "435 Spencer St, 3003, Melbourne",
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": -37.81068105,
    "longitude": 144.95005528
  },
  "potentialAction": [
    {
      "@type": "ReserveAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://the-angry-dog.resos.com/booking",
        "actionPlatform": [
          "http://schema.org/DesktopWebPlatform",
          "http://schema.org/MobileWebPlatform"
        ]
      },
      "result": {
        "@type": "Reservation",
        "name": "Reservation"
      }
    },
    {
      "@type": "OrderAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://app.squareup.com/loyalty/MLCA614AAPYZ7",
        "actionPlatform": [
          "http://schema.org/DesktopWebPlatform",
          "http://schema.org/MobileWebPlatform"
        ]
      }
    }
  ]
}
</script>
```

llms.txt. Save as /llms.txt at the root of the site.

```
# The Angry Dog

> local business in 435 Spencer St, 3003, Melbourne, Melbourne cafes and bars. Phone +61411964777.

## Book or order directly

- Book: https://the-angry-dog.resos.com/booking (through resos acting for the business)
- Order: https://app.squareup.com/loyalty/MLCA614AAPYZ7 (through square acting for the business)
- Menu: https://www.theangrydog.com.au/menu1

## About

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

## Already right
- **robots.txt lets AI crawlers in.** No rule blocks the main AI user agents.
- **AI crawlers get the page.** GPTBot, ClaudeBot and PerplexityBot all got a normal response.
- **Menu or price list is an HTML page.** Agents can read the items and prices.
- **Booking through resos on your own domain.** There's no marketplace commission, and the customer stays yours.
- **Ordering through square on your own domain.** There's no marketplace commission, and the customer stays yours.

## Where it stands
1152 of 3067 in Melbourne cafes and bars. Top 38% 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 | 99% | yes |
| Publish the menu or price list as HTML | 91% | yes |
| Let AI crawlers in (no block at the server or in robots.txt) | 98% | yes |
| Structured data with address, phone and hours | 28% | no |
| Have an llms.txt | 25% | no |

Nearest places in the index: Hotel Spencer (F, 144 m, https://directindex.org/r/hotelspencer.com.au); Rachels Rooms (F, 250 m, https://directindex.org/r/rachelsrooms.com); Roobi (F, 250 m, https://directindex.org/r/roobi.com.au); The Royal Mail (D, 294 m, https://directindex.org/r/theroyalmail.com.au); Spencer Coffee & Catering Melbourne (C, 348 m, https://directindex.org/r/spencercoffee.com.au); Apollo Cafe (A, 452 m, https://directindex.org/r/apollocafe.com.au); Jin Bar Melbourne (B, 462 m, https://directindex.org/r/dorsetthotels.com); Royal Standard Hotel (B, 500 m, https://directindex.org/r/royalstandardhotel.com.au); Hangar Cafe Restaurant (F, 527 m, https://directindex.org/r/hangarcafe.com.au); Happy Farmer Organics (B, 529 m, https://directindex.org/r/happyfarmerorganics.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.


Compared with its peers: Sites built with Squarespace 65% (49% A or B, 11547 sites); Sites using resOS 67% (40% A or B, 73 sites); Sites using Square 65% (41% A or B, 1644 sites); This site 64.6%.

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

## Businesses like The Angry Dog in Melbourne cafes and bars

| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Businesses of the same kind in Melbourne cafes and bars | 3067 | 54% | 31% | 64.6% |
| Sites built with Squarespace in Melbourne cafes and bars | 565 | 73% | 57% | 64.6% |
| Sites using resOS in Melbourne cafes and bars | 9 | 64% | 22% | 64.6% |
| Sites built with Squarespace and using resOS in Melbourne cafes and bars | 3 | 66% | 0% | 64.6% |

The best of the sites using resOS in Melbourne cafes and bars: Café Mellow Fellow (B 83.1%, https://directindex.org/r/mellowfellow.com.au); Wines on Poath (B 78.5%, https://directindex.org/r/winesonpoath.com.au); Dumbo (C 66.2%, https://directindex.org/r/dumbomelbourne.com.au); Miyama Melbourne (C 66.2%, https://directindex.org/r/miyamamelbourne.com.au); The Old Garage (C 60%, https://directindex.org/r/theoldgarage.com.au).

With the fix above (No structured data for the business), the score would be about 87.7%. That would be 243rd of 3,067 in Melbourne cafes and bars, up from 1152nd.

## The direct record
What agents get for The Angry Dog, as JSON: https://directindex.org/api/direct/theangrydog.com.au
- Book: https://the-angry-dog.resos.com/booking (vendor on own site: resOS; found by the scan of 2026-10-18, not yet tested)
- Order: https://app.squareup.com/loyalty/MLCA614AAPYZ7 (vendor on own site: Square; found by the scan of 2026-10-18, not yet tested)
- Menu: https://www.theangrydog.com.au/menu1 (html_page; from the scan)
- Hours: none on record
- Phone: +61411964777
- Stable links that count: https://directindex.org/go/theangrydog.com.au/book, https://directindex.org/go/theangrydog.com.au/order, https://directindex.org/go/theangrydog.com.au/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): yes
- Vendor terms for agents, resOS: Not stated. The terms do not address an agent acting for a person (several bar scraping or data extraction only), could not be read on the date given, or the vendor has not been researched yet.

## Score breakdown
| Component | Points | Available |
|---|---|---|
| Reachable | 25 | 25 |
| Readable | 7 | 25 |
| Actionable | 10 | 15 (the action test: pending) |
| Cited | 0 | 0 (the assistant citation check: pending) |

## Agent readiness (Cloudflare)
Level 1 of 5, Basic Web Presence. Cloudflare's report: https://isitagentready.com/theangrydog.com.au
- Link headers on the homepage: no (how: https://isitagentready.com/.well-known/agent-skills/link-headers/SKILL.md)
- sitemap.xml: yes
- AI bot rules in robots.txt: yes
- Content Signals in robots.txt: no (how: https://isitagentready.com/.well-known/agent-skills/content-signals/SKILL.md)
- Markdown on Accept: text/markdown: no (how: https://isitagentready.com/.well-known/agent-skills/markdown-negotiation/SKILL.md)
- llms.txt: no (how: https://isitagentready.com/.well-known/agent-skills/llms-txt/SKILL.md)
- API catalog (RFC 9727): no (how: https://isitagentready.com/.well-known/agent-skills/api-catalog/SKILL.md)
- MCP server card: no (how: https://isitagentready.com/.well-known/agent-skills/mcp-server-card/SKILL.md)
- A2A agent card: no (how: https://isitagentready.com/.well-known/agent-skills/a2a-agent-card/SKILL.md)
- Agent Skills index: no (how: https://isitagentready.com/.well-known/agent-skills/agent-skills/SKILL.md)
- OAuth or OIDC discovery: no (how: https://isitagentready.com/.well-known/agent-skills/oauth-discovery/SKILL.md)
- OAuth protected resource metadata: no (how: https://isitagentready.com/.well-known/agent-skills/oauth-protected-resource/SKILL.md)
- auth.md: no (how: https://isitagentready.com/.well-known/agent-skills/auth-md/SKILL.md)
- Web Bot Auth key directory: no (how: https://isitagentready.com/.well-known/agent-skills/web-bot-auth/SKILL.md)
- ARD capability manifest: no (how: https://isitagentready.com/.well-known/agent-skills/ard/SKILL.md)
- DNS-AID records: no (how: https://isitagentready.com/.well-known/agent-skills/dns-aid/SKILL.md)
- WebMCP tools on the page: no (how: https://isitagentready.com/.well-known/agent-skills/webmcp/SKILL.md)
- JSON-LD for the business: no

Keep watching this business (https://directindex.org/r/theangrydog.com.au/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/theangrydog.com.au/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=theangrydog.com.au&force=1