alfabet.coffee is mostly ready for agents.
Order directly: alfabet.coffee/en/collections/coffee on the business's own site · Menu: cdn.shopify.com/s/files/1/0536/7686/7775/files/EMA4_Komunard
See what an AI agent reads on this site →
62.3 of 80 points available
agent-readiness level, Basic Web Presence
things to fix
Action test, 2026-10-14: completed, an agent can reach the step before confirming. A Shopify widget renders on the page and can be used without a login.
Provisional: the assistant citation check still to come; the hatched part of the bar is not measured yet.
Live fetches as GPTBot (http_403), ClaudeBot (http_403) were refused while a normal browser got the page. This is usually a hosting or firewall bot list the owner never chose. Ask the host to allow these user agents. How to fix it
Missing: telephone, opening hours. How to fix it
Most agents skip PDFs or read them badly. Publish it as HTML, keep the PDF as a download. How to fix it
No one is listed yet to fix this in Prague cafes and bars. List your agency or yourself: free, reviewed by hand.
Builder: shopify · Front: cloudflare · Cloudflare in front; AI crawlers blocked at the edge
Filled from the business's own record and this scan. Check every line before it goes live; where it goes on shopify 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": "CafeOrCoffeeShop",
"name": "Alf & Bet",
"url": "https://www.alfabet.coffee/en",
"telephone": "+420 739 765 399",
"email": "alfabet@prague.coffee",
"address": {
"@type": "PostalAddress",
"streetAddress": "Světova 454/2",
"postalCode": "180 00",
"addressLocality": "Praha 8"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 50.1057726,
"longitude": 14.473408
},
"openingHours": "Mo-Fr 08:00-18:00; Sa-Su 09:00-17:00",
"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Monday",
"Tuesday",
"Wednesday",
"Thursday",
"Friday"
],
"opens": "08:00",
"closes": "18:00"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Saturday",
"Sunday"
],
"opens": "09:00",
"closes": "17:00"
}
],
"servesCuisine": [
"bakery"
],
"hasMenu": "https://cdn.shopify.com/s/files/1/0536/7686/7775/files/EMA4_Komunardu_menu_bar_A4.pdf?v=1778048785",
"potentialAction": [
{
"@type": "OrderAction",
"target": {
"@type": "EntryPoint",
"urlTemplate": "https://alfabet.coffee/en/collections/coffee",
"actionPlatform": [
"http://schema.org/DesktopWebPlatform",
"http://schema.org/MobileWebPlatform"
]
}
}
]
}
</script>
Top 3% of the sites scanned in this index. Just above: Sladká Cesta B, Bakery 60 B. Just below: Café Sladkovský B, M1 Lounge B.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 44% | yes |
| Publish the menu or price list as HTML | 72% | no |
| Let AI crawlers in (no edge block, no robots.txt block) | 93% | no |
| Structured data with address, phone and hours | 32% | no |
| Have an llms.txt | 46% | yes |
The top tenth is the 57 best-scoring reachable sites of the index at the last refresh.
| Average score | A or B | This site | |
|---|---|---|---|
| Sites built with Shopify 1,331 sites | 61% | 37% | 77.9% |
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Kavárna a Cukrárna Sweetbar breakfast, coffee_shop, sandwich, ice_cream, steak_house | 87 m | F | no |
| U Horkých | 139 m | C | no |
| Bar Napalmě | 192 m | F | no |
| elpíčko | 213 m | F | no |
| Decada | 303 m | D | no |
| Light roast coffee_shop, breakfast, cake | 344 m | D | no |
| Deskohub | 506 m | F | no |
| Rohan beer garden | 703 m | D | no |
| Styx | 799 m | F | no |
| U Jarolímků | 887 m | D | no |
| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Same kind in Prague cafes and bars | 561 | 43% | 7% | 77.9% |
| Built with Shopify in Prague cafes and bars | 6 | 58% | 33% | 77.9% |
Bakery 60 B 78.8% · Project FOX D 53.8% · La Bohème Café D 50.8% · may cafe D 47.7% · Coffee source F 38.5%
With the three fixes above (The server turns AI crawlers away at the door; Structured data is incomplete; Menu or price list is a PDF) the score would be about 96.3%: first of 561 in Prague cafes and bars.
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/alfabet.coffee, through the MCP tool direct_record and in the city feed /city/prague-cafes-bars/direct.json.
| Path | Link | Status |
|---|---|---|
| Book | none on record | |
| Order | alfabet.coffee/en/collections/coffee own site | verified direct, 2026-10-14 |
| Menu | cdn.shopify.com/s/files/1/0536/7686/7775/files/EMA4_Komunard pdf | from the scan |
| Hours | Mo-Fr 08:00-18:00; Sa-Su 09:00-17:00 (closed now) | from OpenStreetMap |
| Phone | +420 739 765 399 |
Stable links that count: /go/alfabet.coffee/order, /go/alfabet.coffee/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 |
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.
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 | yes |
| llms.txt | yes |
| 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 | yes |
| OAuth protected resource metadata | yes |
| 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 | yes |
| 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/alfabet.coffee"><img src="https://directindex.org/badge/alfabet.coffee.svg" alt="Agent-Direct Score B" 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.