Parsley
parsley.fr is mostly ready for agents.
Listed by Overture Maps.
Ways to reach Parsley directly, with no marketplace in between. Checked 2026-10-21. Report a mistake
115 rue Oberkampf, 75011, Paris · 01 71 24 47 28
Prices: 13 prices on the site, the middle one €9.90
Places near Parsley that take a booking or an order on their own website, with no marketplace in between.
- Sâj, la galette libanaise550 m · lebanese
- Kubri760 m · lebanese
- At Homs'930 m · lebanese
- Narah Paris980 m · lebanese
The website's grade
An AI assistant can open Parsley's website. It can read what Parsley offers. To book or order, it is sent to Uber Eats, a marketplace.
51 of 65 points available
agent-readiness level, Basic Web Presence
things to fix
Provisional, with the action test and the assistant citation check still to come. The hatched part of the bar isn't measured yet.
What the site tells visitors Measured, not scored
These don't change the grade.
Visitors and assistants may read that year as the last time anyone looked after the site. In Paris, 76% of comparable sites that show a year say 2025 or later.
Every city compared →Visitors from abroad, and assistants answering in English, read the page as it is. In Paris, 32% of comparable sites declare one.
Every city compared →In Paris, the middle price of comparable sites that show prices is €16.00.
Every city compared →What assistants answer
Each assistant gets three questions about this business: the official website, where to book and where to order. Each cell shows where the answer sent people.
The assistants haven't been asked about this business yet. They're asked about the top-ranked businesses in each city index, and about any business as soon as it's claimed. Claim this page to be included.
The assistants were asked 13 everyday questions about Paris and named 98 places. Parsley wasn't one of them. See who was named →
How Parsley compares
1,273 of 6,273 in Paris
Top 20% of the sites scanned in this index. Just above: Oh Vin Dieu ! B, Parfums d'Asie B. Just below: Pilgrim B, Popu B.
| What the top 10% 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 | 99% | yes |
| Let AI crawlers in (no block at the server or in robots.txt) | 99% | yes |
| Structured data with address, phone and hours | 84% | no |
| Have an llms.txt | 62% | no |
The top 10% are the 637 highest-scoring reachable sites in the index at the last update.
Compared with its peers
| Average score | A or B | This site | |
|---|---|---|---|
| Sites using Uber Eats 1,718 sites | 62% | 33% | 78.5% |
Nearest places with a similar menu
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Le Petit Phénicien lebanese | 248 m | F | no |
| Zaatar lebanese | 327 m | D | no |
| Sâj, la galette libanaise lebanese | 552 m | D | yes |
| Sama lebanese | 575 m | B | no |
| Jalsé lebanese | 623 m | B | no |
| Kubri lebanese | 764 m | B | yes |
| At Homs' lebanese | 933 m | F | yes |
| Narah Paris lebanese | 976 m | B | yes |
| L'Artisan Libanais lebanese | 977 m | F | no |
| Le Cœur du Liban lebanese | 1.0 km | B | no |
Businesses like Parsley in Paris
| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Businesses of the same kind in Paris | 6,273 | 57% | 38% | 78.5% |
| Sites using Uber Eats in Paris | 110 | 66% | 45% | 78.5% |
The best of the sites using Uber Eats in Paris
Naruto Ramen A 100% · Mohae A 94.9% · Bacioni A 92.3% · Jules Jo A 92.3% · Mama Kossa A 92.3%
After the top fixes
With the two fixes above (Ordering only through ubereats; Structured data is incomplete), the score would be about 100%, which would be first of 6,273 in Paris.
Peers are the businesses in the same index that have a reachable site, using the latest scan of each. The rank comes from the index's current ranking.
What to fix first
- Ordering only through ubereats +12 points
Every transaction an agent makes goes through the marketplace, which takes its commission. Add a direct way on your own site. Even a simple form will do. How to fix it About this vendor
- Structured data is incomplete +2 points
Missing: telephone. How to fix it
- No llms.txt no points, but worth doing
Optional for now and cheap to add. It's a short text file that describes the business for language models. How to fix it
Send the fixes to your web person
No one is listed yet to fix this in Paris. List your agency or yourself. It's free, and every listing is reviewed by hand.
Already right
- robots.txt lets AI crawlers in No rule blocks the main AI user agents.
- AI crawlers get the page GPTBot, ClaudeBot and PerplexityBot all got a normal response.
- Structured data found (Restaurant) address, opening hours
- Menu or price list with prices on the page Agents can read the items and prices.
- Uber Eats works with agents through its partners 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. Terms read on 2026-10-15: https://www.uber.com/legal/en/document/?name=general-terms-of-use&country=united-states&lang=en. An assistant that isn't a partner may not be able to finish there. A direct path on your own domain works for all of them.
Builder: unknown · Front: cloudflare
What to paste
Filled in from the business's own record and this scan. Check every line before it goes live. The guides show where it goes on your builder.
Show the code to paste
Structured data (JSON-LD)
Paste it as one block in the page's head, or in the builder's custom code box. Change anything that's wrong. Guide.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Restaurant",
"name": "Parsley",
"url": "http://www.parsleyparis.fr",
"telephone": "01 71 24 47 28",
"address": "115 rue Oberkampf, 75011, Paris",
"geo": {
"@type": "GeoCoordinates",
"latitude": 48.86756531155476,
"longitude": 2.3751807617540712
},
"servesCuisine": [
"lebanese"
],
"hasMenu": "https://parsley.fr/"
}
</script>
llms.txt
Save as /llms.txt at the root of the site. Guide.
# Parsley > restaurant (lebanese) in 115 rue Oberkampf, 75011, Paris, Paris. Phone 01 71 24 47 28. ## Book or order directly - Menu: https://parsley.fr/ ## About - Website: http://www.parsleyparis.fr - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
Own this business?
If you fixed something or think a check is wrong, rescan. Rescans are free. Claiming takes one email to confirm. After that, the three assistants are asked about the business right away and the site is rescanned every week. You get a message only when the score changes.
Rescan now · Markdown · Dispute a check
Keep watching this business: the assistants are asked again every month, and you see what changed. 2 EUR a month or 19 EUR a year. Deep report: ten questions to each assistant, plus the places nearby. 5 EUR, paid once. Reading and scanning stay free. These few euros pay for the questions sent to the assistants and for the servers.
Show the score
Owners who score well put the badge on their site. It links back here and updates with every scan.
<a href="https://directindex.org/r/parsley.fr"><img src="https://directindex.org/badge/parsley.fr.svg" alt="Agent-Direct Score B" width="236" height="40"></a>
What agents get, and what the site publishes
The direct record agents get for this business, the rails an agent could transact through, and the agent standards the site publishes.
Show the details
What agents get for Parsley
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/parsley.fr, through the MCP tool direct_record and in the city feed /city/paris/direct.json.
| Path | Link | Status |
|---|---|---|
| Book | none on record | |
| Order | none on record | |
| Menu | parsley.fr/ html_inline | from the scan |
| Hours | none on record | |
| Phone | 01 71 24 47 28 |
Stable links that count: /go/parsley.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.
Can an agent transact?
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 | no |
| ACP discovery document /.well-known/acp.json, OpenAI and Stripe's Agentic Commerce Protocol | no |
| 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 | no |
| Vendor terms for agents Uber Eats, read 2026-10-15 | Through partners |
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.
Level 1 of 5, Basic Web Presence
These are the standards an agent looks for before it reads a page, checked the same way as Cloudflare's Agent Readiness scan. They don't count toward 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 |