Starbucks
starbucks.fr is partly visible to agents.
Order directly: www.starbucks.fr/order/pay on the business's own site · Menu: www.starbucks.fr/starbucks-cartes-cadeaux
See what an AI agent reads on this site →
48 of 80 points available
agent-readiness level, Basic Web Presence
things to fix
Action test, 2026-10-14: failed, an agent cannot act here. The page asks for a login before anything can be booked or ordered.
Provisional: 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 +14 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 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 Nice 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.
- Ordering on your own site Agents can order without a marketplace in the loop.
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.
Show the code to paste
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": "Starbucks",
"url": "https://www.starbucks.fr/store-locator/20751-207746",
"telephone": "0493801011",
"address": {
"@type": "PostalAddress",
"streetAddress": "Avenue Jean Médecin 34"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 43.7016244,
"longitude": 7.2680249
},
"openingHours": "Mo-Sa 08:00-19:30; Su 10:00-19:00",
"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Monday",
"Tuesday",
"Wednesday",
"Thursday",
"Friday",
"Saturday"
],
"opens": "08:00",
"closes": "19:30"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Sunday"
],
"opens": "10:00",
"closes": "19:00"
}
],
"servesCuisine": [
"coffee shop"
],
"hasMenu": "https://www.starbucks.fr/starbucks-cartes-cadeaux",
"potentialAction": [
{
"@type": "OrderAction",
"target": {
"@type": "EntryPoint",
"urlTemplate": "https://www.starbucks.fr/order/pay",
"actionPlatform": [
"http://schema.org/DesktopWebPlatform",
"http://schema.org/MobileWebPlatform"
]
}
}
]
}
</script>
llms.txt
Save as /llms.txt at the root of the site. Guide.
# Starbucks > cafe or coffee shop (coffee shop) in Avenue Jean Médecin 34, Nice cafes and bars. Phone 0493801011. ## Book or order directly - Order: https://www.starbucks.fr/order/pay (on the business's own site) - Menu: https://www.starbucks.fr/starbucks-cartes-cadeaux ## Opening hours Mo-Sa 08:00-19:30; Su 10:00-19:00 ## About - Website: https://www.starbucks.fr/store-locator/20751-207746 - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
How Starbucks compares
37 of 83 in Nice cafes and bars
Top 45% of the sites scanned in this index. Just above: La Buvette du Musée C, La Claque C. Just below: Vergnano C, Le Couloir C.
| 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 | 70% | yes |
| Let AI crawlers in (no edge block, no robots.txt block) | 100% | yes |
| Structured data with address, phone and hours | 10% | no |
| Have an llms.txt | 30% | no |
The top tenth is the 10 best-scoring reachable sites of the index at the last refresh.
Nearest places in the index
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Paul | 162 m | D | yes |
| Yi Fang Tea bubble_tea | 187 m | D | no |
| Haurora bubble_tea | 207 m | C | no |
| La Ronronnerie french, ice_cream, donut, tea, juice, pancake, pastry, dessert | 276 m | F | no |
| Malongo Café coffee_shop | 283 m | D | yes |
| Hug Café | 285 m | D | no |
| Chez les Garçons | 342 m | B | yes |
| La Popote d'Ondine | 350 m | D | no |
| Le Country Store | 359 m | B | yes |
| Foodie | 384 m | D | no |
Businesses like Starbucks in Nice cafes and bars
| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Same kind in Nice cafes and bars | 83 | 50% | 19% | 60% |
The best of Same kind in Nice cafes and bars
Clay A 89.2% · Columbus Café & Co B 84.6% · Le Country Store B 84.6% · Café des Musiciens B 82.5% · Emilie and the Cool Kids B 82.5%
The climb
With the fix above (No structured data for the business) the score would be about 77.5%: 7th of 83 in Nice cafes and bars, up from 37th.
This site appears in 5 cities (5 places on starbucks.fr). Every city it is in →
Peers are the businesses of the same index with a reachable site, latest scan of each; the rank uses the index's current ranking.
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.
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.
Rescan now · Markdown · Dispute a check
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.
Send the fixes to your web person
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/starbucks.fr"><img src="https://directindex.org/badge/starbucks.fr.svg" alt="Agent-Direct Score C" width="236" height="40"></a>
What agents get, and what the site publishes
The direct record an agent is served for this business, the rails it could transact through, and the agent standards the site publishes.
Show the details
What agents get for Starbucks
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/starbucks.fr, through the MCP tool direct_record and in the city feed /city/nice-cafes-bars/direct.json.
| Path | Link | Status |
|---|---|---|
| Book | none on record | |
| Order | www.starbucks.fr/order/pay own site | could not verify: failed (2026-10-14) |
| Menu | www.starbucks.fr/starbucks-cartes-cadeaux html_page | from the scan |
| Hours | Mo-Sa 08:00-19:30; Su 10:00-19:00 (open now) | from OpenStreetMap |
| Phone | 0493801011 |
Stable links that count: /go/starbucks.fr/order, /go/starbucks.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 | 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 |
Not measured at this scan; the next scan measures it.
The next scan also reads the contact, menu and booking pages one hop deeper; facts found there can change the score.
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 |