# Sassy Thai: Agent-Direct Score D (43.1%)

Site: https://sassythairingwood.com/
Report: https://directindex.org/r/sassythairingwood.com
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.)
Sassy Thai is hard for agents to use.
An AI assistant can open the website of Sassy Thai. What Sassy Thai offers is in a PDF or an image, which assistants read poorly. To book or order, it is sent to Uber Eats, a marketplace.

## Direct links
- Phone: +61 3 9870 5513

## What to fix first
- **No structured data for the business.** (+14 points) Add schema.org JSON-LD for the business (Restaurant, LocalBusiness or the closest type, with name, address, telephone and openingHoursSpecification, plus servesCuisine and acceptsReservations). 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
- **Ordering only through ubereats.** (+12 points) Every agent transaction goes through the marketplace and its commission. Add a direct path on your own site, even a simple form. Guide: https://directindex.org/guides/online-ordering-without-delivery-apps
- **Menu or price list is an image.** (+6 points) Agents cannot read it. Publish it as text. Guide: https://directindex.org/guides/menu-pdf-ai
- **Almost no text without JavaScript.** (+2 points) Crawlers that do not run scripts see an empty page. Render the menu, hours and address as plain HTML. Guide: https://directindex.org/guides/website-blank-without-javascript
- **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": "Restaurant",
  "name": "Sassy Thai",
  "url": "https://sassythairingwood.com/",
  "telephone": "+61 3 9870 5513",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "Bedford Road 101",
    "postalCode": "3135"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": -37.8191261,
    "longitude": 145.2441552
  },
  "openingHours": "We-Su 17:00-21:00",
  "openingHoursSpecification": [
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Wednesday",
        "Thursday",
        "Friday",
        "Saturday",
        "Sunday"
      ],
      "opens": "17:00",
      "closes": "21:00"
    }
  ],
  "servesCuisine": [
    "thai"
  ],
  "hasMenu": "http://sassythairingwood.com/wp-content/uploads/2024/02/Sassy-Thai-Ringwood-Take-Away-MENU-JAN2024Vert.png"
}
</script>
```

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

```
# Sassy Thai

> restaurant (thai) in Bedford Road 101 3135, Melbourne. Phone +61 3 9870 5513.

## Book or order directly

- Menu: http://sassythairingwood.com/wp-content/uploads/2024/02/Sassy-Thai-Ringwood-Take-Away-MENU-JAN2024Vert.png

## Opening hours

We-Su 17:00-21:00

## About

- Website: https://sassythairingwood.com/
- 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.
- **Uber Eats works with agents through its partners.** Uber's US terms of use (12 October 2026) bar scripts that burden the services and any use to build software or train AI; its Claude and ChatGPT integrations only browse menus, with checkout in the Uber Eats app. Read 2026-10-15: https://www.uber.com/legal/en/document/?name=general-terms-of-use&country=united-states&lang=en. An assistant that is not a partner may not finish the step there; a direct path on your own domain works for all of them.

## Where it stands
710 of 966 in Melbourne. Top 73% 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 | 88% | no |
| Let AI crawlers in (no edge block, no robots.txt block) | 96% | yes |
| Structured data with address, phone and hours | 46% | no |
| Have an llms.txt | 15% | no |

Nearest places in the index: Chingtao (B, 6 m, https://directindex.org/r/chingtao.com.au); Pizzalicious (C, 113 m, https://directindex.org/r/pizzalicious.com.au); Yang's Place (D, 824 m, https://directindex.org/r/yangs.com.au); Taste of Cantonese (B, 836 m, https://directindex.org/r/tasteofcantonese.com.au); Indians Again (A, 847 m, https://directindex.org/r/indiansagain.com); Little Hub Pizza & Pasta (C, 918 m, https://directindex.org/r/littlehubpizza.com.au); Pizza 72 (A, 1015 m, https://directindex.org/r/pizza72.com.au); Hook Line & Sinker (F, 1030 m, https://directindex.org/r/hooklinefish.com.au); Embers grill and burger (A, 1065 m, https://directindex.org/r/embersgrillandburger.com.au); Royal Punjab (C, 1110 m, https://directindex.org/r/royalpunjab.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 WordPress 59% (32% A or B, 54721 sites); Sites using Uber Eats 62% (32% A or B, 985 sites); This site 43.1%.

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

## Businesses like Sassy Thai in Melbourne

| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Businesses of the same kind in Melbourne | 966 | 58% | 37% | 43.1% |
| Sites built with WordPress in Melbourne | 284 | 67% | 50% | 43.1% |
| Sites using Uber Eats in Melbourne | 16 | 64% | 44% | 43.1% |
| Sites built with WordPress and using Uber Eats in Melbourne | 7 | 68% | 57% | 43.1% |

The best of the sites built with WordPress and using Uber Eats in Melbourne: Hunter & Barrel (A 87.7%, https://directindex.org/r/hunterandbarrel.com); La Burrata (A 87.7%, https://directindex.org/r/laburrata.com.au); BangPop (A 86.2%, https://directindex.org/r/bangpop.com.au); Trend Cafe and Restaurant (B 73.8%, https://directindex.org/r/trendcafeandrestaurant.com.au); The Burger Block (D 53.8%, https://directindex.org/r/theburgerblock.com).

With the three fixes above (No structured data for the business; Ordering only through ubereats; Menu or price list is an image) the score would be about 92.3%: 55th of 966 in Melbourne, up from 710th.

## The direct record
What agents get for Sassy Thai, as JSON: https://directindex.org/api/direct/sassythairingwood.com
- Book: none on record
- Order: none on record
- Menu: http://sassythairingwood.com/wp-content/uploads/2024/02/Sassy-Thai-Ringwood-Take-Away-MENU-JAN2024Vert.png (image; from the scan)
- Hours: We-Su 17:00-21:00 (closed now) (from OpenStreetMap)
- Phone: +61 3 9870 5513
- Stable links that count: https://directindex.org/go/sassythairingwood.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
- Vendor terms for agents, Uber Eats: Through partners. Uber's US terms of use (12 October 2026) bar scripts that burden the services and any use to build software or train AI; its Claude and ChatGPT integrations only browse menus, with checkout in the Uber Eats app. Read 2026-10-15: https://www.uber.com/legal/en/document/?name=general-terms-of-use&country=united-states&lang=en

## Score breakdown
| Component | Points | Available |
|---|---|---|
| Reachable | 23 | 25 |
| Readable | 2 | 25 |
| Actionable | 3 | 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/sassythairingwood.com
- 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/sassythairingwood.com/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/sassythairingwood.com/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=sassythairingwood.com&force=1
