Salotto
salotto-muenchen.de is mostly ready for agents.
Book directly: www.salotto-muenchen.de/reservierung/ on the business's own site · Menu: www.salotto-muenchen.de/menue/
See what an AI agent reads on this site →
47 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.
What to fix first
- No structured data for the business +15 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. How to fix it
- No llms.txt no points, still worth doing
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 Munich. List your agency or yourself: free, reviewed by hand.
Already right
- robots.txt lets AI crawlers in There is no robots.txt, which allows everything.
- AI crawlers get the page GPTBot, ClaudeBot and PerplexityBot all received a normal response.
- Menu or price list is an HTML page Agents can read items and prices directly.
- Booking on your own site Agents can book without a marketplace in the loop.
Builder: wordpress · Front: cloudflare
What to paste
Filled from the business's own record and this scan. Check every line before it goes live; where it goes on wordpress is in the guides.
Structured data (JSON-LD)
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": "Salotto",
"url": "https://www.salotto-muenchen.de/",
"telephone": "+49 89 20001546",
"address": {
"@type": "PostalAddress",
"streetAddress": "Sankt-Anna-Straße 11",
"postalCode": "80538",
"addressLocality": "München",
"addressCountry": "DE"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 48.1395502,
"longitude": 11.5868896
},
"openingHours": "Mo-Th 11:30-23:00, Fr 11:30-24:00; Sa 12:00-24:00; PH,Su 12:00-21:15",
"servesCuisine": [
"italian"
],
"acceptsReservations": "https://www.salotto-muenchen.de/reservierung/",
"hasMenu": "https://www.salotto-muenchen.de/menue/",
"potentialAction": [
{
"@type": "ReserveAction",
"target": {
"@type": "EntryPoint",
"urlTemplate": "https://www.salotto-muenchen.de/reservierung/",
"actionPlatform": [
"http://schema.org/DesktopWebPlatform",
"http://schema.org/MobileWebPlatform"
]
},
"result": {
"@type": "Reservation",
"name": "Reservation"
}
}
]
}
</script>
llms.txt
Save as /llms.txt at the root of the site. Guide.
# Salotto > restaurant (italian) in Sankt-Anna-Straße 11 80538 München, Munich. Phone +49 89 20001546. ## Book or order directly - Book: https://www.salotto-muenchen.de/reservierung/ (on the business's own site) - Menu: https://www.salotto-muenchen.de/menue/ ## Opening hours Mo-Th 11:30-23:00, Fr 11:30-24:00; Sa 12:00-24:00; PH,Su 12:00-21:15 ## About - Website: https://www.salotto-muenchen.de/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
389 of 1,863 in Munich
Top 21% of the sites scanned in this index. Just above: Ramo Adana Kebab B, Ristorante Perte B. Just below: Sandhu India B, Secret Garden Vegan Sushi B.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 94% | yes |
| Publish the menu or price list as HTML | 84% | yes |
| Let AI crawlers in (no edge block, no robots.txt block) | 85% | yes |
| Structured data with address, phone and hours | 37% | no |
| Have an llms.txt | 21% | no |
The top tenth is the 188 best-scoring reachable sites of the index at the last refresh.
Against its peers
| Average score | A or B | This site | |
|---|---|---|---|
| Sites built with WordPress 35,830 sites | 57% | 26% | 72.3% |
Nearest places with a similar menu
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Mezza Via italian | 318 m | B | yes |
| Max Trenta italian | 343 m | D | no |
| Cupido italian | 350 m | B | yes |
| Beccofino italian | 482 m | D | no |
| Osteria Il Tenore italian | 510 m | D | no |
| Osteria der Katzlmacher italian | 565 m | A | yes |
| lederer 17 italian | 624 m | C | no |
| Talstation italian | 654 m | C | yes |
| La Valle italian | 722 m | D | no |
| La Pizzetta italian | 763 m | F | no |
Level 0 of 5, Not Ready
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 | yes |
| 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 |
What assistants answer
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.
Show the score
Owners who score well embed the badge; it links back here and updates with every scan.
<a href="https://directindex.org/r/salotto-muenchen.de"><img src="https://directindex.org/badge/salotto-muenchen.de.svg" alt="Agent-Direct Score B" width="236" height="40"></a>
Own this business?
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.