Le Pain Quotidien
lepainquotidien.com is hard for agents to use.
Menu: www.lepainquotidien.com/hu/en/menu
Score over 2 scans since 2026-10-14: 49% → 49%
See what an AI agent reads on this site →
39 of 80 points available
agent-readiness level, Basic Web Presence
things to fix
Action test, 2026-10-14: partial, a path exists but an agent would struggle. There is a button or a form, but no complete booking or ordering flow an agent can finish on this page.
Provisional: the assistant citation check still to come; the hatched part of the bar is not measured yet.
Since the scan of 2026-10-14: no change in the findings.
What to fix first
- No structured data for the business +15 points
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
- No booking or ordering path at all +15 points
Agents have nothing to act on. Add a booking or ordering page on your own domain. 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 Budapest cafes and bars. 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: 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. Guide.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "CafeOrCoffeeShop",
"name": "Le Pain Quotidien",
"url": "https://www.lepainquotidien.com/hu/en/stores/Andrassy",
"address": {
"@type": "PostalAddress",
"streetAddress": "Andrássy út 2",
"postalCode": "1061",
"addressLocality": "Budapest"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 47.5000614,
"longitude": 19.0551871
},
"openingHours": "Mo-Su: 07:00-21:00",
"servesCuisine": [
"coffee shop"
],
"hasMenu": "https://www.lepainquotidien.com/hu/en/menu"
}
</script>
llms.txt
Save as /llms.txt at the root of the site. Guide.
# Le Pain Quotidien > cafe or coffee shop (coffee shop) in Andrássy út 2 1061 Budapest, Budapest cafes and bars. ## Book or order directly - Menu: https://www.lepainquotidien.com/hu/en/menu ## Opening hours Mo-Su: 07:00-21:00 ## About - Website: https://www.lepainquotidien.com/hu/en/stores/Andrassy - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
141 of 452 in Budapest cafes and bars
Top 31% of the sites scanned in this index. Just above: Jégkert D, Kuglóf D. Just below: Margaux D, Passion D.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 54% | no |
| Publish the menu or price list as HTML | 61% | yes |
| Let AI crawlers in (no edge block, no robots.txt block) | 85% | yes |
| Structured data with address, phone and hours | 33% | no |
| Have an llms.txt | 28% | no |
The top tenth is the 46 best-scoring reachable sites of the index at the last refresh.
Nearest places with a similar menu
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Cat Café coffee_shop | 85 m | F | no |
| % Arabica coffee_shop | 445 m | D | no |
| Gerbeaud Cukrászda coffee_shop, cake, breakfast, afternoon_tea | 498 m | F | no |
| Mamie - Artizán Budapest coffee_shop | 627 m | F | no |
| Anyám szerint breakfast, coffee_shop, pancake, sandwich, sausage | 760 m | B | no |
| Fekete tea, cake, breakfast, coffee_shop | 814 m | F | no |
| Cat Wood Café cake, coffee_shop, tea | 865 m | C | no |
| Andi's Café coffee_shop | 914 m | C | no |
| Cosy Café american, breakfast, coffee_shop, hungarian, local, sandwich | 1.0 km | C | no |
| Smúz Café coffee_shop, breakfast, brunch, european, dessert, sandwich, chicken, noodle, fish, tea, pasta, mediterranean, bagel, middle_eastern, soup, diner, bistro | 1.2 km | 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. 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 | 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/lepainquotidien.com"><img src="https://directindex.org/badge/lepainquotidien.com.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.