# 3 Little Pigs: Agent-Direct Score F (10.8%)

Site: https://3littlepigsgisborne.com.au
Report: https://directindex.org/r/3littlepigsgisborne.com.au
Scanned: 2026-10-17 (Provisional: the action test and the assistant citation check still to come; the hatched part of the bar is not measured yet.)
3 Little Pigs is largely invisible to agents.
AI assistants cannot open the website of 3 Little Pigs, so they rely on what other sites say about it.

## Direct links
- Menu: https://www.3littlepigsgisborne.com.au/menu
- Phone: +61 3 5428 3123

## What to fix first
- **The site turns every visitor without a browser away, AI agents included.** (+25 points) A plain fetch was refused (cloudflare_challenge); only a real browser got the page. Every AI crawler and agent is turned away the same way, so Reachable scores 0 and the rest is measured on the rendered page. Ask the host to let the AI user agents through. Guide: https://directindex.org/guides/blocking-ai-crawlers-without-knowing
- **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. Guide: https://directindex.org/guides/structured-data-restaurant
- **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. Guide: https://directindex.org/guides/book-direct-on-your-own-website

## Fix kit: What to paste

Structured data (JSON-LD). One block in the page's head, or in the builder's custom-code slot. Replace anything that is wrong.

```html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "CafeOrCoffeeShop",
  "name": "3 Little Pigs",
  "url": "https://3littlepigsgisborne.com.au",
  "telephone": "+61 3 5428 3123",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "Aitken Street 30A"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": -37.4868614,
    "longitude": 144.5909795
  },
  "openingHours": "Mo-Su 08:00-16:30",
  "openingHoursSpecification": [
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [],
      "opens": "08:00",
      "closes": "16:30"
    }
  ],
  "servesCuisine": [
    "burger",
    "coffee shop"
  ],
  "hasMenu": "https://www.3littlepigsgisborne.com.au/menu"
}
</script>
```

## Already right
- **robots.txt lets AI crawlers in.** There is no robots.txt, which allows everything.
- **Menu or price list is an HTML page.** Agents can read items and prices directly.

## Where it stands
845 of 911 in Melbourne cafes and bars. Top 93% of the sites scanned in this index.

| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 100% | no |
| Publish the menu or price list as HTML | 95% | yes |
| Let AI crawlers in (no edge block, no robots.txt block) | 97% | no |
| Structured data with address, phone and hours | 33% | no |
| Have an llms.txt | 17% | no |

Nearest places in the index: Telegraph Hotel (F, 169 m, https://directindex.org/r/telegraphhotel.com.au).

## What assistants answer
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.

Against its peers: Sites built with Wix 49% (23% A or B, 7935 sites); This site 10.8%.

See what an AI agent reads on this site: https://directindex.org/r/3littlepigsgisborne.com.au/agent-view

## Businesses like 3 Little Pigs in Melbourne cafes and bars

| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Businesses of the same kind in Melbourne cafes and bars | 911 | 56% | 34% | 10.8% |
| Sites built with Wix in Melbourne cafes and bars | 81 | 43% | 15% | 10.8% |

The best of the sites built with Wix in Melbourne cafes and bars: Corner & Bench (A 95.4%, https://directindex.org/r/cornerandbench.com); Milk+Wine Co. (A 92.3%, https://directindex.org/r/milkandwine.com.au); Railway Hotel South Melbourne (A 89.2%, https://directindex.org/r/railwaypub.com.au); Gin Palace (A 87.7%, https://directindex.org/r/ginpalace.com.au); Local Folk (A 87.7%, https://directindex.org/r/localfolk.com.au).

With the three fixes above (The site turns every visitor without a browser away, AI agents included; No structured data for the business; No booking or ordering link on the website) the score would be about 95.4%: 12th of 911 in Melbourne cafes and bars, up from 845th.

## The direct record
What agents get for 3 Little Pigs, as JSON: https://directindex.org/api/direct/3littlepigsgisborne.com.au
- Book: none on record
- Order: none on record
- Menu: https://www.3littlepigsgisborne.com.au/menu (html_page; from the scan)
- Hours: Mo-Su 08:00-16:30 (closed now) (from OpenStreetMap)
- Phone: +61 3 5428 3123
- Stable links that count: https://directindex.org/go/3littlepigsgisborne.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, Toast, or a vendor whose terms allow agents): no

Only a real browser got this page (a plain fetch got cloudflare_challenge); Readable and Actionable were measured on the rendered page.

## Score breakdown
| Component | Points | Available |
|---|---|---|
| Reachable | 0 | 25 |
| Readable | 7 | 25 |
| Actionable | 0 | 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: no

Keep watching this business (https://directindex.org/r/3littlepigsgisborne.com.au/plan): the assistants asked again every month, with what changed; 2 EUR a month or 19 EUR a year.
Deep report: https://directindex.org/r/3littlepigsgisborne.com.au/deep. Ten questions the way people ask, each assistant's full answer, the eight nearest similar places, the fix plan and a PDF: 5 EUR, one-off. 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=3littlepigsgisborne.com.au&force=1