The Direct Index
Report · budapest · scanned 2026-10-14

Széchenyi Étterem

ensanahotels.com is mostly ready for agents.

Book directly: ensanahotels.com/en/hotels/grand-margaret-island/booking?lan on the business's own site · Menu: ensanahotels.com/en/hotels/thermal-margaret-island/menus/foo

See what an AI agent reads on this site →

B
73.8%

48 of 65 points available

1/5

agent-readiness level, Basic Web Presence

2

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.

Findings

What to fix first

  1. No structured data for the business +14 points

    Add schema.org JSON-LD for the business (Restaurant, LocalBusiness or the closest type, with name, address, telephone and openingHoursSpecification, plus servesCuisine and acceptsReservations). It is the one block every assistant reads first; the fix kit below has it filled in. How to fix it

  2. 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. List your agency or yourself: free, reviewed by hand.

Already right

Builder: unknown · Front: cloudflare

Fix kit

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; add priceRange if you like. Guide.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Restaurant",
  "name": "Széchenyi Étterem",
  "url": "https://ensanahotels.com/en/hotels/grand-margaret-island",
  "telephone": "+3618894700,roomreservation:+3618894752(8:00-16:30)",
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 47.5320393,
    "longitude": 19.0528423
  },
  "acceptsReservations": "https://ensanahotels.com/en/hotels/grand-margaret-island/booking?langID=en-GB&amp;propertyID=50103&amp;currID=EUR&amp;hgid=50103&amp;checkin=2026-10-14&amp;checkout=2026-10-21&amp;rooms=1&amp;adults=2",
  "hasMenu": "https://ensanahotels.com/en/hotels/thermal-margaret-island/menus/food-and-drinks",
  "potentialAction": [
    {
      "@type": "ReserveAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://ensanahotels.com/en/hotels/grand-margaret-island/booking?langID=en-GB&amp;propertyID=50103&amp;currID=EUR&amp;hgid=50103&amp;checkin=2026-10-14&amp;checkout=2026-10-21&amp;rooms=1&amp;adults=2",
        "actionPlatform": [
          "http://schema.org/DesktopWebPlatform",
          "http://schema.org/MobileWebPlatform"
        ]
      },
      "result": {
        "@type": "Reservation",
        "name": "Reservation"
      }
    }
  ]
}
</script>

llms.txt

Save as /llms.txt at the root of the site. Guide.

# Széchenyi Étterem

> restaurant in Budapest. Phone +3618894700,roomreservation:+3618894752(8:00-16:30).

## Book or order directly

- Book: https://ensanahotels.com/en/hotels/grand-margaret-island/booking?langID=en-GB&amp;propertyID=50103&amp;currID=EUR&amp;hgid=50103&amp;checkin=2026-10-14&amp;checkout=2026-10-21&amp;rooms=1&amp;adults=2 (on the business's own site)
- Menu: https://ensanahotels.com/en/hotels/thermal-margaret-island/menus/food-and-drinks

## About

- Website: https://ensanahotels.com/en/hotels/grand-margaret-island
- This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
Where it stands

76 of 1,034 in Budapest

Top 7% of the sites scanned in this index. Just above: Pasarét Bisztró B, Stika B. Just below: Vas Manci B, Burger King B.

What the top tenth of the index doesTop 10%This site
Take bookings or orders on their own domain64%yes
Publish the menu or price list as HTML80%yes
Let AI crawlers in (no edge block, no robots.txt block)93%yes
Structured data with address, phone and hours37%no
Have an llms.txt16%no

The top tenth is the 105 best-scoring reachable sites of the index at the last refresh.

Nearest places in the index

PlaceDistanceGradeDirect booking or ordering
Rozmaring Kertvendéglő regional616 mCno
Angel Pizza pizza, noodle, regional888 mDno
Kishusom Bisztró és Kávézó889 mBno
Pastrami Étterem international905 mCno
Vidocq Étterem regional, pizza912 mDno
Burkoló916 mCyes
Stelázsi Étterem regional934 mDno
Kéhli Vendéglő regional963 mFno
Zaza grill house and bar grill, steak_house, pizza975 mDno
CUT & BARREL argentinian, brazilian, spanish992 mCno
Agent readiness

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.

Link headers on the homepageno how
sitemap.xmlyes
AI bot rules in robots.txtyes
Content Signals in robots.txtno how
Markdown on Accept: text/markdownno how
llms.txtno how
API catalog (RFC 9727)no how
MCP server cardno how
A2A agent cardno how
Agent Skills indexno how
OAuth or OIDC discoveryno how
OAuth protected resource metadatano how
auth.mdno how
Web Bot Auth key directoryno how
ARD capability manifestno how
DNS-AID recordsno how
WebMCP tools on the pageno how
JSON-LD for the businessno
Assistants

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.

Badge

Show the score

Owners who score well embed the badge; it links back here and updates with every scan.

Agent-Direct Score B

<a href="https://directindex.org/r/ensanahotels.com"><img src="https://directindex.org/badge/ensanahotels.com.svg" alt="Agent-Direct Score B" width="236" height="40"></a>
Owners

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

Send the fixes to your web person
One email, the fixes and the link; nothing stored.