franziska.hu is largely invisible to agents.
Book directly: www.franziska.hu/pages/booking on the business's own site · Menu: www.franziska.hu/pages/menu-eng
See what an AI agent reads on this site →
22 of 65 points available
agent-readiness level
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.
A plain fetch was refused (cloudflare_challenge); only a real browser got the page. Every AI crawler and agent is turned away the same way, so Reachable scores 0 and the rest is measured on the rendered page. Ask the host to let the AI user agents through. How to fix it
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 one is listed yet to fix this in Budapest cafes and bars. List your agency or yourself: free, reviewed by hand.
Builder: shopify · Front: cloudflare · A plain fetch got cloudflare_challenge; a real browser got the page, so the scan continues on the rendered page.
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": "Home of Franziska",
"url": "https://www.franziska.hu/",
"telephone": "+36 70 332 3745",
"email": "hello@franziska.hu",
"address": {
"@type": "PostalAddress",
"streetAddress": "Iskola utca 29",
"postalCode": "1011",
"addressLocality": "Budapest"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 47.5055034,
"longitude": 19.0372318
},
"openingHours": "Mo-Fr 08:00-16:00; Sa-Su 08:30-16:00",
"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Monday",
"Tuesday",
"Wednesday",
"Thursday",
"Friday"
],
"opens": "08:00",
"closes": "16:00"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Saturday",
"Sunday"
],
"opens": "08:30",
"closes": "16:00"
}
],
"acceptsReservations": "https://www.franziska.hu/pages/booking",
"hasMenu": "https://www.franziska.hu/pages/menu-eng",
"potentialAction": [
{
"@type": "ReserveAction",
"target": {
"@type": "EntryPoint",
"urlTemplate": "https://www.franziska.hu/pages/booking",
"actionPlatform": [
"http://schema.org/DesktopWebPlatform",
"http://schema.org/MobileWebPlatform"
]
},
"result": {
"@type": "Reservation",
"name": "Reservation"
}
}
]
}
</script>
Top 75% of the sites scanned in this index. Just above: Főtér Caffé F, Gyugyi's Bistro F. Just below: Horváth Kert Cukrászda F, I Love Kex Cukrászda F.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 57% | yes |
| Publish the menu or price list as HTML | 69% | yes |
| Let AI crawlers in (no edge block, no robots.txt block) | 86% | no |
| Structured data with address, phone and hours | 29% | no |
| Have an llms.txt | 31% | no |
The top tenth is the 42 best-scoring reachable sites of the index at the last refresh.
| Average score | A or B | This site | |
|---|---|---|---|
| Sites built with Shopify 1,345 sites | 58% | 37% | 33.8% |
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Coyote Coffee & Deli bagel | 17 m | F | no |
| Kolbászda sausage | 82 m | F | no |
| Steamhouse Cafe | 82 m | F | no |
| Polo hungarian | 138 m | F | no |
| Galffis Chocolates coffee_shop | 146 m | D | no |
| Corvin Kávézó ice_cream | 309 m | F | no |
| Cocó 7 Csokoládé | 430 m | D | no |
| Belgian Brasserie Henri | 466 m | C | no |
| Budapest Baristas - Buda | 519 m | F | no |
| Grinta coffee_shop, brunch, pizza, sandwich, cake | 545 m | D | no |
| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Same kind in Budapest cafes and bars | 412 | 42% | 7% | 33.8% |
| Built with Shopify in Budapest cafes and bars | 7 | 22% | 0% | 33.8% |
Gloria Jean's C 58.5% · Andi's Café F 23.1% · 1000 Tea F 12.3% · Ohana F 12.3% · Patmos Book & Café F 12.3%
With the two fixes above (The site turns every visitor without a browser away, AI agents included; No structured data for the business) the score would be about 95.4%: first of 412 in Budapest 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/franziska.hu, through the MCP tool direct_record and in the city feed /city/budapest-cafes-bars/direct.json.
| Path | Link | Status |
|---|---|---|
| Book | www.franziska.hu/pages/booking own site | found by the scan of 2026-10-15, not yet tested |
| Order | none on record | |
| Menu | www.franziska.hu/pages/menu-eng html_page | from the scan |
| Hours | Mo-Fr 08:00-16:00; Sa-Su 08:30-16:00 (open now) | from OpenStreetMap |
| Phone | +36 70 332 3745 |
Stable links that count: /go/franziska.hu/book, /go/franziska.hu/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 | 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 |
Only a real browser got this page (a plain fetch got cloudflare_challenge); Readable and Actionable were measured on the rendered page.
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.
| JSON-LD for the business | no |
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/franziska.hu"><img src="https://directindex.org/badge/franziska.hu.svg" alt="Agent-Direct Score F" 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.
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.