smichovskysklipek.cz is mostly ready for agents.
Book directly: www.smichovskysklipek.cz/?page_id=307&lang=en on the business's own site · Menu: www.smichovskysklipek.cz/?p=633&lang=en
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.
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
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 Prague. List your agency or yourself: free, reviewed by hand.
Builder: wordpress · Front: cloudflare · https failed (TimeoutError: The operation was aborted due to timeout); served over http
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.
One block in the page's head, or in the builder's custom-code slot. Replace anything that is wrong. Guide.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Restaurant",
"name": "Smíchovský radniční sklípek",
"url": "https://www.smichovskysklipek.cz/",
"address": {
"@type": "PostalAddress",
"streetAddress": "Preslova 4",
"postalCode": "15000",
"addressLocality": "Praha 5"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 50.0727186,
"longitude": 14.4070198
},
"openingHours": "Mo-Fr 10:30-23:30; Sa 11:00-23:30; Su 11:00-23:00",
"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Monday",
"Tuesday",
"Wednesday",
"Thursday",
"Friday"
],
"opens": "10:30",
"closes": "23:30"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Saturday"
],
"opens": "11:00",
"closes": "23:30"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Sunday"
],
"opens": "11:00",
"closes": "23:00"
}
],
"servesCuisine": [
"regional"
],
"acceptsReservations": "https://www.smichovskysklipek.cz/?page_id=307&lang=en",
"hasMenu": "https://www.smichovskysklipek.cz/?p=633&lang=en",
"potentialAction": [
{
"@type": "ReserveAction",
"target": {
"@type": "EntryPoint",
"urlTemplate": "https://www.smichovskysklipek.cz/?page_id=307&lang=en",
"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.
# Smíchovský radniční sklípek > restaurant (regional) in Preslova 4 15000 Praha 5, Prague. ## Book or order directly - Book: https://www.smichovskysklipek.cz/?page_id=307&lang=en (on the business's own site) - Menu: https://www.smichovskysklipek.cz/?p=633&lang=en ## Opening hours Mo-Fr 10:30-23:30; Sa 11:00-23:30; Su 11:00-23:00 ## About - Website: https://www.smichovskysklipek.cz/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
Top 8% of the sites scanned in this index. Just above: SaSaZu B, Semmering B. Just below: Spravovna B, Takibi B.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 48% | yes |
| Publish the menu or price list as HTML | 80% | yes |
| Let AI crawlers in (no edge block, no robots.txt block) | 97% | yes |
| Structured data with address, phone and hours | 45% | no |
| Have an llms.txt | 34% | no |
The top tenth is the 143 best-scoring reachable sites of the index at the last refresh.
| Average score | A or B | This site | |
|---|---|---|---|
| Sites built with WordPress 35,830 sites | 57% | 26% | 72.3% |
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Kozlovna Lidická regional | 35 m | D | no |
| Back Doors regional, burger | 112 m | F | no |
| U Bílého lva regional | 113 m | C | yes |
| Hotel Anette regional | 138 m | F | no |
| Nonstop Jídelna Marjánka regional | 173 m | F | no |
| Plzeňský restaurant Anděl regional | 246 m | D | no |
| Potrefená husa regional | 471 m | D | no |
| Restaurant Zlatý Klas s.r.o. regional | 486 m | D | no |
| Restaurace Vltava regional | 498 m | D | no |
| Pivnice U Dělového kříže regional | 572 m | C | no |
| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Same kind in Prague | 1,410 | 39% | 10% | 72.3% |
| Built with WordPress in Prague | 374 | 53% | 13% | 72.3% |
Restaurace Palanok A 88.8% · Gran Fierro A 87.5% · Hooters A 87.5% · Tapas bar Miró A 87.5% · The Tavern A 86.6%
With the fix above (No structured data for the business) the score would be about 95.4%: first of 1,410 in Prague.
Peers are the businesses of the same index with a reachable site, latest scan of each; the rank uses the index's current ranking.
The links an assistant is sent when it books, orders or reads the menu for this business, where each leads, and when a browser last checked it. The same record is served as JSON at /api/direct/smichovskysklipek.cz, through the MCP tool direct_record and in the city feed /city/prague/direct.json.
| Path | Link | Status |
|---|---|---|
| Book | www.smichovskysklipek.cz/?page_id=307&lang=en own site | found by the scan of 2026-10-14, not yet tested |
| Order | none on record | |
| Menu | www.smichovskysklipek.cz/?p=633&lang=en html_page | from the scan |
| Hours | Mo-Fr 10:30-23:30; Sa 11:00-23:30; Su 11:00-23:00 (closed now) | from OpenStreetMap |
| Phone | none on record |
Stable links that count: /go/smichovskysklipek.cz/book, /go/smichovskysklipek.cz/menu answer 302 to the links above; the count is the line "followed N direct links" on this page.
Owners: claim the business below to correct this record; the claim email carries the link.
Measured, not scored: the Agent-Direct Score stays at specification v1.0. This says which rails an agent could transact through today, and what the booking or ordering vendor's terms allow.
| UCP profile /.well-known/ucp, Google and Shopify's Universal Commerce Protocol | not measured |
| ACP discovery document /.well-known/acp.json, OpenAI and Stripe's Agentic Commerce Protocol | not measured |
| 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 | not measured |
Not measured at this scan; the next scan measures it.
The next scan also reads the contact, menu and booking pages one hop deeper; facts found there can change the score.
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. Cloudflare's report.
| 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/smichovskysklipek.cz"><img src="https://directindex.org/badge/smichovskysklipek.cz.svg" alt="Agent-Direct Score B" 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.
Deep report Ten questions the way people ask, each assistant's full answer, the eight nearest similar places, the fix plan and a PDF: 19 EUR, one-off.