# Bowery to Williamsburg: Agent-Direct Score B (72.3%)

Site: https://www.bowerytowilliamsburg.com.au/
Report: https://directindex.org/r/bowerytowilliamsburg.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.)
Bowery to Williamsburg is mostly ready for agents.
An AI assistant can open the website of Bowery to Williamsburg. What Bowery to Williamsburg offers is in a PDF or an image, which assistants read poorly. It finds a way to book or order directly, through Square.

## Direct links
- Order directly: https://bowery-to-williamsburg.square.site/ (through square acting for the business)
- Menu: https://www.bowerytowilliamsburg.com.au/s/B2W-Menu-JULY-2026.pdf
- Phone: +61 3 9077 0162

## What to fix first
- **Structured data is incomplete.** (+7 points) Missing: address, telephone, opening hours. Guide: https://directindex.org/guides/structured-data-restaurant
- **Menu or price list is a PDF.** (+3 points) Most agents skip PDFs or read them badly. Publish it as HTML, keep the PDF as a download. Guide: https://directindex.org/guides/menu-pdf-ai
- **No llms.txt.** (no points, still worth doing) Optional today, cheap to add: a short text file describing the business for language models. Guide: https://directindex.org/guides/llms-txt-for-a-business

## 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": "Bowery to Williamsburg",
  "url": "https://www.bowerytowilliamsburg.com.au/",
  "telephone": "+61 3 9077 0162",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "Oliver Lane 16",
    "postalCode": "3000"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": -37.8161924,
    "longitude": 144.9701951
  },
  "openingHours": "Mo-Fr 07:30-14:30; Sa-Su 08:30-14:30",
  "openingHoursSpecification": [
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Monday",
        "Tuesday",
        "Wednesday",
        "Thursday",
        "Friday"
      ],
      "opens": "07:30",
      "closes": "14:30"
    },
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Saturday",
        "Sunday"
      ],
      "opens": "08:30",
      "closes": "14:30"
    }
  ],
  "hasMenu": "https://www.bowerytowilliamsburg.com.au/s/B2W-Menu-JULY-2026.pdf",
  "potentialAction": [
    {
      "@type": "OrderAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://bowery-to-williamsburg.square.site/",
        "actionPlatform": [
          "http://schema.org/DesktopWebPlatform",
          "http://schema.org/MobileWebPlatform"
        ]
      }
    }
  ]
}
</script>
```

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

```
# Bowery to Williamsburg

> cafe or coffee shop in Oliver Lane 16 3000, Melbourne cafes and bars. Phone +61 3 9077 0162.

## Book or order directly

- Order: https://bowery-to-williamsburg.square.site/ (through square acting for the business)
- Menu: https://www.bowerytowilliamsburg.com.au/s/B2W-Menu-JULY-2026.pdf

## Opening hours

Mo-Fr 07:30-14:30; Sa-Su 08:30-14:30

## About

- Website: https://www.bowerytowilliamsburg.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 key AI user agents.
- **AI crawlers get the page.** GPTBot, ClaudeBot and PerplexityBot all received a normal response.
- **Structured data present (LocalBusiness).** but without address, phone or hours
- **Ordering through square on your own domain.** No marketplace commission, and the guest stays yours.

## Where it stands
274 of 911 in Melbourne cafes and bars. Top 30% 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% | yes |
| Publish the menu or price list as HTML | 95% | no |
| Let AI crawlers in (no edge block, no robots.txt block) | 97% | yes |
| Structured data with address, phone and hours | 33% | no |
| Have an llms.txt | 17% | no |

Nearest places in the index: Duke of Wellington Hotel (B, 34 m, https://directindex.org/r/dukeofwellington.com.au); Jack & Bones Island Bar (F, 97 m, https://directindex.org/r/jackandbones.com); Garden State Hotel (B, 118 m, https://directindex.org/r/gardenstatehotel.com.au); Eau De Vie (C, 130 m, https://directindex.org/r/eaudevie.com.au); Spice Market (B, 143 m, https://directindex.org/r/spicemarket.net.au); Good Nature Hotel (B, 164 m, https://directindex.org/r/goodnaturehotel.com.au); Little Bang Espresso (F, 236 m, https://directindex.org/r/littlebangespresso.com.au); Upstate Coffee (D, 280 m, https://directindex.org/r/upstatecoffee.com.au); People's Coffee (B, 291 m, https://directindex.org/r/peoplescoffee.com.au); Transport Hotel (C, 294 m, https://directindex.org/r/transporthotel.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 Squarespace 66% (51% A or B, 9908 sites); Sites using Square 65% (42% A or B, 1380 sites); This site 72.3%.

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

## Businesses like Bowery to Williamsburg 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% | 72.3% |
| Sites built with Squarespace in Melbourne cafes and bars | 213 | 75% | 62% | 72.3% |
| Sites using Square in Melbourne cafes and bars | 36 | 63% | 42% | 72.3% |
| Sites built with Squarespace and using Square in Melbourne cafes and bars | 14 | 72% | 57% | 72.3% |

The best of the sites built with Squarespace and using Square in Melbourne cafes and bars: Public Wine Shop (A 93.8%, https://directindex.org/r/publicwineshop.com.au); The Edinburgh Castle (A 87.7%, https://directindex.org/r/edinburghcastle.net.au); Bar Liberty (B 84.6%, https://directindex.org/r/barliberty.com); Postmaster Hotel (B 80%, https://directindex.org/r/postmasterhotel.com); Saint Jaxie (B 80%, https://directindex.org/r/saintjaxie.com).

With the two fixes above (Structured data is incomplete; Menu or price list is a PDF) the score would be about 87.7%: 91st of 911 in Melbourne cafes and bars, up from 274th.

## The direct record
What agents get for Bowery to Williamsburg, as JSON: https://directindex.org/api/direct/bowerytowilliamsburg.com.au
- Book: none on record
- Order: https://bowery-to-williamsburg.square.site/ (vendor on own site: Square; found by the scan of 2026-10-17, not yet tested)
- Menu: https://www.bowerytowilliamsburg.com.au/s/B2W-Menu-JULY-2026.pdf (pdf; from the scan)
- Hours: Mo-Fr 07:30-14:30; Sa-Su 08:30-14:30 (closed now) (from OpenStreetMap)
- Phone: +61 3 9077 0162
- Stable links that count: https://directindex.org/go/bowerytowilliamsburg.com.au/order, https://directindex.org/go/bowerytowilliamsburg.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, Square: Yes. Square takes orders placed in ChatGPT and Claude for US food sellers since 1 July 2026 with no seller setup; its Buyer Account Terms still bar robots and scrapers from accessing Block systems. Read 2026-10-15: https://squareup.com/us/en/press/claude-chatgpt-integrations

## Score breakdown
| Component | Points | Available |
|---|---|---|
| Reachable | 25 | 25 |
| Readable | 12 | 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/bowerytowilliamsburg.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: yes

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