restaurant-tafelhaus.de is largely invisible to agents.
An AI assistant can open the website of Pizzeria Calabrisella. It finds no menu or price list, so it answers from other sites. It finds no link to book or order online.
Listed by OpenStreetMap · Overture Maps.
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.
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.
Top 63% of the sites scanned in this index. Just above: Peri Peri Chicken F, Pizza Delizia F. Just below: PommStore F, Pomodorino F.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 84% | no |
| Publish the menu or price list as HTML | 75% | no |
| Let AI crawlers in (no edge block, no robots.txt block) | 83% | yes |
| Structured data with address, phone and hours | 41% | no |
| Have an llms.txt | 26% | no |
The top tenth is the 510 best-scoring reachable sites of the index at the last refresh.
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Amici Amici Sicilian Kitchen & Street Food pizza, sicilian | 104 m | F | no |
| Berlino italian, pizza | 205 m | F | yes |
| Masaniello italian, pizza | 338 m | D | no |
| Gran Casino italian, pizza | 465 m | C | yes |
| Oliveto italian, pizza | 553 m | B | yes |
| Le Tire Bouchon pizza, german, international | 626 m | F | no |
| Roots pizza | 774 m | F | no |
| Ammazza che Pizza italian, pizza | 843 m | D | no |
| Pizzatrium pizza | 995 m | D | no |
| Pazzi X Pizza pizza | 1.0 km | D | no |
| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Businesses of the same kind in Berlin | 4,748 | 46% | 19% | 38.5% |
Bavarian A 100% · Berlin Neu Hohenschönhausen A 100% · Dante A 100% · Eosander A 100% · Gasthaus Figl A 100%
With the three fixes above (No structured data for the business; No booking or ordering link on the website; No menu or price list found) the score would be about 95.4%: 37th of 4,748 in Berlin, up from 2973rd.
Peers are the businesses of the same index with a reachable site, latest scan of each; the rank uses the index's current ranking.
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 find no link to follow on the site. If you take bookings or orders through a platform, link to it from the site so an agent can find it. 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 Berlin. 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": "FastFoodRestaurant",
"name": "Pizzeria Calabrisella",
"url": "http://www.restaurant-tafelhaus.de/",
"geo": {
"@type": "GeoCoordinates",
"latitude": 52.4863633,
"longitude": 13.4235212
},
"servesCuisine": [
"pizza"
]
}
</script>
Save as /llms.txt at the root of the site. Guide.
# Pizzeria Calabrisella > fast food restaurant (pizza) in Berlin. ## About - Website: http://www.restaurant-tafelhaus.de/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
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.
Rescan now · Markdown · Dispute a check
Keep watching this business: the assistants asked again every month, with what changed; 2 EUR a month or 19 EUR a year. Deep report: ten questions to each assistant and the places nearby; 5 EUR once. Reading and scanning stay free; these few euros pay for the questions sent to the assistants and for the servers.
The direct record an agent is served for this business, the rails it could transact through, and the agent standards the site publishes.
No direct path on record: the scan of 2026-10-15 found no booking or ordering link on restaurant-tafelhaus.de or on a vendor's site. The same record is served as JSON at /api/direct/restaurant-tafelhaus.de, through the MCP tool direct_record and in the city feed /city/berlin/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 | 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 |
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 | 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 |