Lohrberg-Schänke
lohrberg-schaenke.de is hard for agents to use.
Menu: lohrberg-schaenke.de/speisekarte-2/
See what an AI agent reads on this site →
35 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 +14 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 booking or ordering path at all +13 points
Only a phone number or WhatsApp. Agents cannot act on those yet. Add a booking or ordering page. 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 Frankfurt. List your agency or yourself: free, reviewed by hand.
Already right
- robots.txt lets AI crawlers in No rule blocks the key AI user agents.
- 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.
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. Guide.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Restaurant",
"name": "Lohrberg-Schänke",
"url": "https://www.lohrberg-schaenke.de/",
"telephone": "+49 69 90476785",
"email": "info@lohrberg-schaenke.de",
"address": {
"@type": "PostalAddress",
"streetAddress": "Auf dem Lohr 9",
"postalCode": "60389",
"addressLocality": "Frankfurt am Main"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 50.1507991,
"longitude": 8.7270626
},
"openingHours": "11:00-23:00",
"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [],
"opens": "11:00",
"closes": "23:00"
}
],
"hasMenu": "https://lohrberg-schaenke.de/speisekarte-2/"
}
</script>
llms.txt
Save as /llms.txt at the root of the site. Guide.
# Lohrberg-Schänke > restaurant in Auf dem Lohr 9 60389 Frankfurt am Main, Frankfurt. Phone +49 69 90476785. ## Book or order directly - Menu: https://lohrberg-schaenke.de/speisekarte-2/ ## Opening hours 11:00-23:00 ## About - Website: https://www.lohrberg-schaenke.de/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
453 of 1,078 in Frankfurt
Top 42% of the sites scanned in this index. Just above: La Gazella D, Lina Food D. Just below: Ma'loa D, Meandros D.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 86% | no |
| Publish the menu or price list as HTML | 74% | yes |
| Let AI crawlers in (no edge block, no robots.txt block) | 86% | yes |
| Structured data with address, phone and hours | 48% | no |
| Have an llms.txt | 23% | no |
The top tenth is the 111 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% | 53.8% |
Nearest places in the index
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Wolffhardts balkan, german | 1.5 km | D | no |
| Leib & Wohl | 1.7 km | D | no |
| Restaurant Papageno international | 1.8 km | F | no |
| Pizza Day n Night indian, italian, pasta, pizza | 1.8 km | F | no |
| Pizzeria Carlo | 2.0 km | F | no |
| Diva mediterranean | 2.0 km | F | no |
| Taverna Platea greek | 2.0 km | D | no |
| Schöne Aussicht | 2.1 km | D | no |
| Restaurant Frankfurter Hof german | 2.1 km | D | no |
| Restaurant Carl´s | 2.1 km | C | yes |
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. Cloudflare's report.
| Link headers on the homepage | no how |
| sitemap.xml | no how |
| AI bot rules in robots.txt | yes |
| 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/lohrberg-schaenke.de"><img src="https://directindex.org/badge/lohrberg-schaenke.de.svg" alt="Agent-Direct Score D" 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.
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.