olivuvpivovar.cz is largely invisible to agents.
See what an AI agent reads on this site →
25 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
Agents have nothing to act on. Add a booking or ordering page on your own domain. How to fix it
Agents answer 'what do they offer' from marketplaces instead. Add a menu or price list page and link it from the homepage. 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: 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. Guide.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Restaurant",
"name": "Olivův pivovar",
"url": "https://www.olivuvpivovar.cz/",
"geo": {
"@type": "GeoCoordinates",
"latitude": 49.962064,
"longitude": 14.4568861
},
"servesCuisine": [
"regional"
]
}
</script>
Save as /llms.txt at the root of the site. Guide.
# Olivův pivovar > restaurant (regional) in Prague. ## About - Website: https://www.olivuvpivovar.cz/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
Top 72% of the sites scanned in this index. Just above: Nonstop Jídelna Marjánka F, Občerstvení v Oboře F. Just below: Palác Akropolis F, Paťanka F.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 50% | no |
| Publish the menu or price list as HTML | 82% | no |
| Let AI crawlers in (no edge block, no robots.txt block) | 98% | yes |
| Structured data with address, phone and hours | 47% | no |
| Have an llms.txt | 33% | no |
The top tenth is the 124 best-scoring reachable sites of the index at the last refresh.
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| U Čámrse | 2.9 km | B | no |
| Restaurace U Krbu | 3.9 km | C | no |
| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Same kind in Prague | 1,216 | 45% | 11% | 38.5% |
Dish {fine burger bistro} A 90% · Dvorek Karlín A 90% · Max's Steakhouse A 90% · Pardubická pivnice U Járy A 90% · Pizzeria Rustica A 90%
With the three fixes above (No structured data for the business; No booking or ordering path at all; No menu or price list found) the score would be about 95.4%: first of 1,216 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.
No direct path on record: the scan of 2026-10-14 found no booking or ordering link on olivuvpivovar.cz or on a vendor's site. The same record is served as JSON at /api/direct/olivuvpivovar.cz, through the MCP tool direct_record and in the city feed /city/prague/direct.json.
| Path | Link | Status |
|---|---|---|
| Book | none on record | |
| Order | none on record | |
| Menu | none on record | |
| Hours | none on record | |
| Phone | none on record |
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/olivuvpivovar.cz"><img src="https://directindex.org/badge/olivuvpivovar.cz.svg" alt="Agent-Direct Score F" 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.