Donki
donki.be is mostly ready for agents.
Order directly: donki.be/delivery on the business's own site · Menu: donki.be/menu
See what an AI agent reads on this site →
47 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 for a restaurant. It is the one block every assistant reads first. 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 Brussels. 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.
- Ordering on your own site Agents can order without a marketplace in the loop.
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; add priceRange if you like. Guide.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "FastFoodRestaurant",
"name": "Donki",
"url": "https://donki.be",
"geo": {
"@type": "GeoCoordinates",
"latitude": 50.8373348,
"longitude": 4.3817716
},
"openingHours": "Mo-Su 11:30-21:00",
"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [],
"opens": "11:30",
"closes": "21:00"
}
],
"servesCuisine": [
"mexican"
],
"hasMenu": "https://donki.be/menu",
"potentialAction": [
{
"@type": "OrderAction",
"target": {
"@type": "EntryPoint",
"urlTemplate": "https://donki.be/delivery",
"actionPlatform": [
"http://schema.org/DesktopWebPlatform",
"http://schema.org/MobileWebPlatform"
]
}
}
]
}
</script>
llms.txt
Save as /llms.txt at the root of the site. Guide.
# Donki > fast food restaurant (mexican) in Brussels. ## Book or order directly - Order: https://donki.be/delivery (on the business's own site) - Menu: https://donki.be/menu ## Opening hours Mo-Su 11:30-21:00 ## About - Website: https://donki.be - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
288 of 1,070 in Brussels
Top 27% of the sites scanned in this index. Just above: Chez Wawa B, Dolce B. Just below: Exki B, French Kiss B.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 100% | yes |
| Publish the menu or price list as HTML | 99% | yes |
| Let AI crawlers in (no edge block, no robots.txt block) | 99% | yes |
| Structured data with address, phone and hours | 93% | no |
| Have an llms.txt | 4% | no |
The top tenth is the 108 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% | 72.3% |
Nearest places in the index
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Ellis Gourmet Burger burger | 5 m | C | yes |
| Maison Antoine friture | 62 m | D | no |
| 450 Gradi italian_pizza | 102 m | B | yes |
| Stirwen | 113 m | B | yes |
| Eccetera italian | 121 m | A | yes |
| Origine french, regional | 126 m | A | yes |
| Giuá pizza | 163 m | A | yes |
| Le Schievelavabo | 168 m | D | no |
| Bois Savanes thai | 259 m | C | yes |
| seven | 340 m | C | 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/donki.be"><img src="https://directindex.org/badge/donki.be.svg" alt="Agent-Direct Score B" 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.