theatercafeen.no is hard for agents to use.
Menu: www.theatercafeen.no/wp-content/uploads/sites/5/2026/10/Menu
See what an AI agent reads on this site →
32 of 65 points available
agent-readiness level, Basic Web Presence
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 (CafeOrCoffeeShop, BarOrPub or the closest type, with name, address, telephone and openingHoursSpecification, plus servesCuisine). It is the one block every assistant reads first; the fix kit below has it filled in. How to fix it
Only a phone number or WhatsApp. Agents cannot act on those yet. Add a booking or ordering page. How to fix it
Most agents skip PDFs or read them badly. Publish it as HTML, keep the PDF as a download. How to fix it
No one is listed yet to fix this in Oslo cafes and bars. List your agency or yourself: free, reviewed by hand.
Builder: wordpress · Front: cloudflare
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": "CafeOrCoffeeShop",
"name": "Theatercaféen",
"url": "https://www.theatercafeen.no",
"telephone": "+47 22824050",
"email": "bord@theatercafeen.no",
"geo": {
"@type": "GeoCoordinates",
"latitude": 59.9139731,
"longitude": 10.7340202
},
"openingHours": "Mo-Sa 11:00-23:00; Su 15:00-22:00",
"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Monday",
"Tuesday",
"Wednesday",
"Thursday",
"Friday",
"Saturday"
],
"opens": "11:00",
"closes": "23:00"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Sunday"
],
"opens": "15:00",
"closes": "22:00"
}
],
"hasMenu": "https://www.theatercafeen.no/wp-content/uploads/sites/5/2026/10/Menu-Take-Over-2026-13-oktpdf.pdf"
}
</script>
Top 44% of the sites scanned in this index. Just above: Engebret Kafé D, Politiker'n D. Just below: RØØR D, Østensjø Havn D.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 92% | no |
| Publish the menu or price list as HTML | 35% | no |
| Let AI crawlers in (no edge block, no robots.txt block) | 100% | yes |
| Structured data with address, phone and hours | 15% | no |
| Have an llms.txt | 31% | yes |
The top tenth is the 26 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% | 49.2% |
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Raadhuset Bar | 32 m | D | yes |
| Dr. Jekyll's Pub | 63 m | B | yes |
| Amundsen Bryggeri og Spiseri | 70 m | F | no |
| Elling bokkafé | 98 m | D | no |
| Brød & Sirkus | 154 m | C | no |
| Last Train | 175 m | F | no |
| Rock In | 274 m | F | no |
| Bristol pub | 313 m | D | no |
| Mulligan’s | 327 m | F | no |
| Eilefs landhandleri | 366 m | C | yes |
| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Same kind in Oslo cafes and bars | 250 | 41% | 8% | 49.2% |
| Built with WordPress in Oslo cafes and bars | 46 | 51% | 13% | 49.2% |
Pokalen Parkveien B 72.5% · Bohemen B 70% · Den Gamle Major B 70% · Dr. Jekyll's Pub B 70% · Grønland Boulebar & Spiseri B 70%
With the three fixes above (No structured data for the business; No booking or ordering path at all; Menu or price list is a PDF) the score would be about 95.4%: first of 250 in Oslo cafes and bars.
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/theatercafeen.no, through the MCP tool direct_record and in the city feed /city/oslo-cafes-bars/direct.json.
| Path | Link | Status |
|---|---|---|
| Book | none on record | |
| Order | none on record | |
| Menu | www.theatercafeen.no/wp-content/uploads/sites/5/2026/10/Menu pdf | from the scan |
| Hours | Mo-Sa 11:00-23:00; Su 15:00-22:00 (closed now) | from OpenStreetMap |
| Phone | +47 22824050 |
Stable links that count: /go/theatercafeen.no/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.
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 | yes |
| Content Signals in robots.txt | no how |
| Markdown on Accept: text/markdown | no how |
| llms.txt | yes |
| 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/theatercafeen.no"><img src="https://directindex.org/badge/theatercafeen.no.svg" alt="Agent-Direct Score D" 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.