Has Döner
has-doener-leverkusen.de is hard for agents to use.
Menu: www.has-doener-leverkusen.de/
See what an AI agent reads on this site →
35 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.
What to fix first
- No structured data for the business +15 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
- Ordering only through justeat +12 points
Every agent transaction goes through the marketplace and its commission. Add a direct path on your own site, even a simple form. How to fix it About this vendor
- 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 Cologne. 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 with prices on the page Agents can read items and prices directly.
Builder: unknown · 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 your builder 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; add priceRange if you like. Guide.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "FastFoodRestaurant",
"name": "Has Döner",
"url": "https://www.has-doener-leverkusen.de/",
"address": {
"@type": "PostalAddress",
"streetAddress": "Bahnhofstraße 20",
"postalCode": "51379",
"addressLocality": "Leverkusen"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 51.0665893,
"longitude": 7.0060921
},
"openingHours": "Th-Su 11:00-24:00, Fr,Sa 11:00-03:00",
"servesCuisine": [
"kebab"
],
"hasMenu": "https://www.has-doener-leverkusen.de/"
}
</script>
llms.txt
Save as /llms.txt at the root of the site. Guide.
# Has Döner > fast food restaurant (kebab) in Bahnhofstraße 20 51379 Leverkusen, Cologne. ## Book or order directly - Menu: https://www.has-doener-leverkusen.de/ ## Opening hours Th-Su 11:00-24:00, Fr,Sa 11:00-03:00 ## About - Website: https://www.has-doener-leverkusen.de/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
460 of 1,109 in Cologne
Top 41% of the sites scanned in this index. Just above: Gronauer Wirtshaus D, Hana Sushi D. Just below: Haus Zeyen D, Haweli D.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 88% | no |
| Publish the menu or price list as HTML | 82% | yes |
| Let AI crawlers in (no edge block, no robots.txt block) | 94% | yes |
| Structured data with address, phone and hours | 48% | no |
| Have an llms.txt | 24% | no |
The top tenth is the 113 best-scoring reachable sites of the index at the last refresh.
Against its peers
| Average score | A or B | This site | |
|---|---|---|---|
| Sites using Just Eat 882 sites | 54% | 11% | 53.8% |
Nearest places in the index
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Restaurant Balkan grill, balkan | 139 m | F | no |
| Meteora Grill barbecue, chicken, greek, grill, pizza | 202 m | C | no |
| Ristorante Mezza-Notte italian | 231 m | B | no |
| Casa Portuguesa portuguese | 394 m | C | yes |
| Restaurant Dion steak_house | 399 m | F | no |
| Burgeria burger, hot_dog, pizza | 409 m | F | no |
| Suki japanese, sushi | 418 m | F | no |
| Steakhaus La Plaza steak_house | 421 m | F | no |
| Gallodini international | 437 m | F | no |
| Mavera turkish | 462 m | B | no |
Level 1 of 5, Basic Web Presence
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.
| 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 | 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/has-doener-leverkusen.de"><img src="https://directindex.org/badge/has-doener-leverkusen.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.