mook-group.de is partly visible to agents.
Book directly: www.sevenrooms.com/reservations/ivoryclub?venues=franziska,i through sevenrooms acting for the business · Menu: www.mook-group.de/ivoryclub/menu/menu_01_12_2025_1.pdf
Score over 2 scans since 2026-10-14: 60% → 60%
See what an AI agent reads on this site →
39 of 65 points available
agent-readiness level, Not Ready
things to fix
Provisional: the action test and the assistant citation check still to come; the hatched part of the bar is not measured yet.
Since the scan of 2026-10-14: no change in the findings.
Add schema.org JSON-LD for the business (Restaurant, LocalBusiness or the closest type) with name, address, telephone and openingHoursSpecification, plus servesCuisine and acceptsReservations for a restaurant. It is the one block every assistant reads first. How to fix it
Most agents skip PDFs or read them badly. Publish the menu as HTML, keep the PDF as a download. How to fix it
Optional today, cheap to add: a short text file describing the business for language models. How to fix it
No one is listed yet to fix this in Frankfurt. List your agency or yourself: free, reviewed by hand.
Builder: unknown · Front: cloudflare
Filled from the business's own record and this scan. Check every line before it goes live; where it goes on your builder is in the guides.
One block in the page's <head>, or in the builder's custom-code slot. Replace anything that is wrong; add priceRange if you like. Guide.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Restaurant",
"name": "The Ivory Club",
"url": "https://www.mook-group.de/ivoryclub/",
"telephone": "+49 69 77067767",
"geo": {
"@type": "GeoCoordinates",
"latitude": 50.1143969,
"longitude": 8.669329
},
"servesCuisine": [
"indian"
],
"acceptsReservations": "https://www.sevenrooms.com/reservations/ivoryclub?venues=franziska,ivoryclub,monamiemaxi,msteakhouse,zenzakan",
"hasMenu": "https://www.mook-group.de/ivoryclub/menu/menu_01_12_2025_1.pdf",
"potentialAction": [
{
"@type": "ReserveAction",
"target": {
"@type": "EntryPoint",
"urlTemplate": "https://www.sevenrooms.com/reservations/ivoryclub?venues=franziska,ivoryclub,monamiemaxi,msteakhouse,zenzakan",
"actionPlatform": [
"http://schema.org/DesktopWebPlatform",
"http://schema.org/MobileWebPlatform"
]
},
"result": {
"@type": "Reservation",
"name": "Reservation"
}
}
]
}
</script>
Save as /llms.txt at the root of the site. Guide.
# The Ivory Club > restaurant (indian) in Frankfurt. Phone +49 69 77067767. ## Book or order directly - Book: https://www.sevenrooms.com/reservations/ivoryclub?venues=franziska,ivoryclub,monamiemaxi,msteakhouse,zenzakan (through sevenrooms acting for the business) - Menu: https://www.mook-group.de/ivoryclub/menu/menu_01_12_2025_1.pdf ## About - Website: https://www.mook-group.de/ivoryclub/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
Top 33% of the sites scanned in this index. Just above: Hummus Küch' C, JAMY'S BURGER C. Just below: Morleos C, Oakberry Açaí bowls C.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 86% | yes |
| Publish the menu or price list as HTML | 74% | no |
| Let AI crawlers in (no edge block, no robots.txt block) | 86% | yes |
| Structured data with address, phone and hours | 48% | no |
| Have an llms.txt | 23% | no |
The top tenth is the 111 best-scoring reachable sites of the index at the last refresh.
| Average score | A or B | This site | |
|---|---|---|---|
| Sites using SevenRooms 656 sites | 71% | 52% | 60% |
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Aman indian | 382 m | F | no |
| Anjappar Chettinad indian, asian | 636 m | B | yes |
| Akmal Sweet Center and Fast Food indian | 716 m | D | no |
| Saravanaa Bhavan indian, south_indian | 738 m | D | no |
| Indian Curry Castle indian | 796 m | D | no |
| Shari Curry indian | 941 m | D | no |
| Ruchi indian | 1.0 km | D | no |
| Taj Mahal indian | 1.4 km | D | no |
| Namaste India indian | 1.6 km | D | no |
| Bombay Palace indian | 1.9 km | B | yes |
The standards an agent looks for before it reads a page, on the same criteria as Cloudflare's Agent Readiness scan. Not part of the score; each missing item links to a how-to.
| Link headers on the homepage | no how |
| sitemap.xml | no how |
| AI bot rules in robots.txt | no how |
| Content Signals in robots.txt | no how |
| Markdown on Accept: text/markdown | no how |
| llms.txt | no how |
| API catalog (RFC 9727) | no how |
| MCP server card | no how |
| A2A agent card | no how |
| Agent Skills index | no how |
| OAuth or OIDC discovery | no how |
| OAuth protected resource metadata | no how |
| auth.md | no how |
| Web Bot Auth key directory | no how |
| ARD capability manifest | no how |
| DNS-AID records | no how |
| WebMCP tools on the page | no how |
| JSON-LD for the business | no |
Each assistant is asked three questions about this business: the official website, where to book, where to order. The cell says where the answer sent people.
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.
Owners who score well embed the badge; it links back here and updates with every scan.
<a href="https://directindex.org/r/mook-group.de"><img src="https://directindex.org/badge/mook-group.de.svg" alt="Agent-Direct Score C" width="236" height="40"></a>
Fixed something, or think a check is wrong? Rescans are free. Claiming takes one email to confirm; after that the three assistants are asked about the business right away, the site is rescanned weekly, and you get a message only when the score changes.