# Food Court: Agent-Direct Score D (53.8%)

Site: http://www.museum.go.kr/site/main/content/restaurant
Report: https://directindex.org/r/museum.go.kr
Scanned: 2026-10-22 (Provisional, with the action test and the assistant citation check still to come. The hatched part of the bar isn't measured yet.)
Food Court is hard for agents to use.
An AI assistant can open Food Court's website. It can read what Food Court offers. It finds a phone number, but no link to book or order online.

## Direct links
- Menu: https://www.museum.go.kr/MUSEUM/contents/M0106010000.do?menuId=subway-map
- Phone: 02-796-7308
- Address: 서빙고로 137, 04383, Yong-san-gu
- Languages: Korean, English

## 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). Every assistant reads this block first, and the fix kit below has it filled in. Guide: https://directindex.org/guides/structured-data-restaurant
- **No booking or ordering link on the website.** (+13 points) There's only a phone number or WhatsApp, and agents can't use those yet. If you take bookings or orders through a platform, link to it from the site so agents can find it. Add a booking or ordering page. Guide: https://directindex.org/guides/book-direct-on-your-own-website
- **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": "Food Court",
  "url": "http://www.museum.go.kr/site/main/content/restaurant",
  "telephone": "02-796-7308",
  "address": "서빙고로 137, 04383, Yong-san-gu",
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 37.524352,
    "longitude": 126.977608
  }
}
</script>
```

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

```
# Food Court

> local business in 서빙고로 137, 04383, Yong-san-gu, Seoul. Phone 02-796-7308.

## Book or order directly

- Menu: https://www.museum.go.kr/MUSEUM/contents/M0106010000.do?menuId=subway-map

## About

- Website: http://www.museum.go.kr/site/main/content/restaurant
- 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.

## Where it stands
185 of 1450 in Seoul. Top 13% 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 | 75% | no |
| Publish the menu or price list as HTML | 63% | yes |
| Let AI crawlers in (no block at the server or in robots.txt) | 78% | yes |
| Structured data with address, phone and hours | 5% | no |
| Have an llms.txt | 28% | no |

Nearest places in the index: Le Bunmie Main (D, 478 m, https://directindex.org/r/lebunmie.com); 족발야시장 체인사업본부 (D, 886 m, https://directindex.org/r/xn--ih3bm7ju8bi1cb3a.com); KFC 신용산점 (F, 891 m, https://directindex.org/r/gymnow.co.kr); Cucciolo Seoul (F, 938 m, https://directindex.org/r/cucciologroup.com); The Booth (F, 974 m, https://directindex.org/r/thebooth.co.kr); Tegg.42 (D, 1037 m, https://directindex.org/r/tegg42.com); 빽다방 용산국방부점 (D, 1078 m, https://directindex.org/r/paikdabang.com); 순문 갈매기살 (F, 1096 m, https://directindex.org/r/sonmun.co.kr); Five Guys Yongsan (B, 1173 m, https://directindex.org/r/fiveguys.co.kr); 마라돈왕주먹고기 (F, 1182 m, https://directindex.org/r/golfzon.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 Seoul and named 108 places. Food Court wasn't one of them. See who was named: https://directindex.org/city/seoul/recommended


See what an AI agent reads on this site: https://directindex.org/r/museum.go.kr/agent-view

## Businesses like Food Court in Seoul

| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Businesses of the same kind in Seoul | 1450 | 34% | 3% | 53.8% |

The best of the businesses of the same kind in Seoul: 버거파크 (A 95.4%, https://directindex.org/r/burgerpark.co.kr); Bruxie (A 90.8%, https://directindex.org/r/bruxie.com); Tap Public (A 90.8%, https://directindex.org/r/tappublic.com); 아벤티움 (A 90.8%, https://directindex.org/r/aventium.co.kr); 마히나 비건 테이블 (A 90%, https://directindex.org/r/mahinavegan.com).

With the two fixes above (No structured data for the business; No booking or ordering link on the website), the score would be about 95.4%, which would be first of 1,450 in Seoul.

## The direct record
What agents get for Food Court, as JSON: https://directindex.org/api/direct/museum.go.kr
- Book: none on record
- Order: none on record
- Menu: https://www.museum.go.kr/MUSEUM/contents/M0106010000.do?menuId=subway-map (html_page; from the scan)
- Hours: none on record
- Phone: 02-796-7308
- Stable links that count: https://directindex.org/go/museum.go.kr/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

## Score breakdown
| Component | Points | Available |
|---|---|---|
| Reachable | 25 | 25 |
| Readable | 8 | 25 |
| Actionable | 2 | 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/museum.go.kr
- 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/museum.go.kr/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/museum.go.kr/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=museum.go.kr&force=1
