howardburger.fr is partly visible to agents.
Menu: howardburger.fr/menu/
See what an AI agent reads on this site →
43 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.
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
Missing: address, telephone, opening hours. 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 Marseille. 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": "FastFoodRestaurant",
"name": "Howard Burger",
"url": "https://howardburger.fr/",
"address": {
"@type": "PostalAddress",
"streetAddress": "Rue Haxo 20"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 43.2936883,
"longitude": 5.3772178
},
"openingHours": "Mo-Th 11:45-15:00,18:45-22:15; Fr 11:45-15:00,18:45-22:30; Sa 11:45-22:30; Su 18:30-22:30",
"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Monday",
"Tuesday",
"Wednesday",
"Thursday"
],
"opens": "11:45",
"closes": "15:00"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Monday",
"Tuesday",
"Wednesday",
"Thursday"
],
"opens": "18:45",
"closes": "22:15"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Friday"
],
"opens": "11:45",
"closes": "15:00"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Friday"
],
"opens": "18:45",
"closes": "22:30"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Saturday"
],
"opens": "11:45",
"closes": "22:30"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Sunday"
],
"opens": "18:30",
"closes": "22:30"
}
],
"servesCuisine": [
"burger"
],
"hasMenu": "https://howardburger.fr/menu/"
}
</script>
Save as /llms.txt at the root of the site. Guide.
# Howard Burger > fast food restaurant (burger) in Rue Haxo 20, Marseille. ## Book or order directly - Menu: https://howardburger.fr/menu/ ## Opening hours Mo-Th 11:45-15:00,18:45-22:15; Fr 11:45-15:00,18:45-22:30; Sa 11:45-22:30; Su 18:30-22:30 ## About - Website: https://howardburger.fr/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
Top 43% of the sites scanned in this index. Just above: Au Jardin de la Clue C, Brasserie Barbotin C. Just below: Nina Sushi C, Ciel - rooftop C.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 100% | no |
| Publish the menu or price list as HTML | 96% | yes |
| Let AI crawlers in (no edge block, no robots.txt block) | 100% | yes |
| Structured data with address, phone and hours | 39% | no |
| Have an llms.txt | 17% | no |
The top tenth is the 23 best-scoring reachable sites of the index at the last refresh.
| Average score | A or B | This site | |
|---|---|---|---|
| Sites built with WordPress 36,926 sites | 58% | 29% | 66.2% |
| Sites using Uber Eats 661 sites | 63% | 34% | 66.2% |
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Ciel - rooftop italian | 20 m | C | yes |
| Pita Pit pita | 87 m | B | yes |
| Cali Kitchen | 98 m | D | no |
| Pain à l'Ail | 115 m | D | no |
| Sushi Room | 126 m | C | yes |
| Restaurant Quartier Libre french | 166 m | B | yes |
| New School Tacos french_tacos | 168 m | D | no |
| Sushi Shop sushi | 170 m | B | no |
| Gin Khao thai | 229 m | C | no |
| La Cuisine de l'Arc | 232 m | F | no |
| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Same kind in Marseille | 220 | 55% | 37% | 66.2% |
| Built with WordPress in Marseille | 78 | 66% | 40% | 66.2% |
| Using Uber Eats in Marseille | 6 | 77% | 67% | 66.2% |
| Built with WordPress and using Uber Eats in Marseille | 3 | 73% | 33% | 66.2% |
Nul Part Ailleurs A 90.8% · Ashourya A 86.2% · Subway B 76.9% · Rice Street Vieux Port B 72.3% · Label'Ferme C 67.7%
With the two fixes above (Ordering only through ubereats; Structured data is incomplete) the score would be about 95.4%: 6th of 220 in Marseille, up from 94th.
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/howardburger.fr, through the MCP tool direct_record and in the city feed /city/marseille/direct.json.
| Path | Link | Status |
|---|---|---|
| Book | none on record | |
| Order | none on record | |
| Menu | howardburger.fr/menu/ html_page | from the scan |
| Hours | Mo-Th 11:45-15:00,18:45-22:15; Fr 11:45-15:00,18:45-22:30; Sa 11:45-22:30; Su 18:30-22:30 (closed now) | from OpenStreetMap |
| Phone | none on record |
Stable links that count: /go/howardburger.fr/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.
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 | not measured |
| ACP discovery document /.well-known/acp.json, OpenAI and Stripe's Agentic Commerce Protocol | not measured |
| 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 | not measured |
| Vendor terms for agents Uber Eats, read 2026-10-15 | Through partners |
Not measured at this scan; the next scan measures it.
Uber's US terms of use (12 October 2026) bar scripts that burden the services and any use to build software or train AI; its Claude and ChatGPT integrations only browse menus, with checkout in the Uber Eats app. Source. About Uber Eats · all vendors.
The next scan also reads the contact, menu and booking pages one hop deeper; facts found there can change the score.
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 | 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 | yes |
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/howardburger.fr"><img src="https://directindex.org/badge/howardburger.fr.svg" alt="Agent-Direct Score C" 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.