# Evershine Pizza: Agent-Direct Score C (63.1%)

Site: http://www.evershinepizza.at/
Report: https://directindex.org/r/evershinepizza.at
Scanned: 2026-10-15 (Provisional: the action test and the assistant citation check still to come; the hatched part of the bar is not measured yet.)
Evershine Pizza is partly visible to agents.
An AI assistant can open the website of Evershine Pizza. It finds no menu or price list, so it answers from other sites. It finds a way to book or order directly on the site.

## Direct links
- Order directly: https://evershinepizza.at/essen-bestellen (on the business's own site)
- Phone: 01/203 98 15.und 069

## What to fix first
- **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. Guide: https://directindex.org/guides/structured-data-restaurant
- **No menu or price list found.** (+7 points) Agents answer 'what do they offer' from marketplaces instead. Add a menu or price list page and link it from the homepage. Guide: https://directindex.org/guides/menu-pdf-ai
- **No llms.txt.** (no points, still worth doing) Optional today, cheap to add: a short text file describing the business for language models. Guide: https://directindex.org/guides/llms-txt-for-a-business

## Fix kit: What 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.

```html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FastFoodRestaurant",
  "name": "Evershine Pizza",
  "url": "http://www.evershinepizza.at/",
  "telephone": "01/203 98 15.und 069",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "Anton-Sattler-Gasse 115",
    "postalCode": "1220",
    "addressLocality": "Wien"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 48.2535178,
    "longitude": 16.4420423
  },
  "openingHours": "Mo-Fr 11:00-15:00,17:00-23:00; Sa,Su 11:00-23:00",
  "openingHoursSpecification": [
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Monday",
        "Tuesday",
        "Wednesday",
        "Thursday",
        "Friday"
      ],
      "opens": "11:00",
      "closes": "15:00"
    },
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Monday",
        "Tuesday",
        "Wednesday",
        "Thursday",
        "Friday"
      ],
      "opens": "17:00",
      "closes": "23:00"
    },
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Saturday",
        "Sunday"
      ],
      "opens": "11:00",
      "closes": "23:00"
    }
  ],
  "servesCuisine": [
    "pizza"
  ],
  "potentialAction": [
    {
      "@type": "OrderAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://evershinepizza.at/essen-bestellen",
        "actionPlatform": [
          "http://schema.org/DesktopWebPlatform",
          "http://schema.org/MobileWebPlatform"
        ]
      }
    }
  ]
}
</script>
```

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

```
# Evershine Pizza

> fast food restaurant (pizza) in Anton-Sattler-Gasse 115 1220 Wien, Vienna. Phone 01/203 98 15.und 069.

## Book or order directly

- Order: https://evershinepizza.at/essen-bestellen (on the business's own site)

## Opening hours

Mo-Fr 11:00-15:00,17:00-23:00; Sa,Su 11:00-23:00

## About

- Website: http://www.evershinepizza.at/
- This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
```

## Already right
- **robots.txt lets AI crawlers in.** There is no robots.txt, which allows everything.
- **AI crawlers get the page.** GPTBot, ClaudeBot and PerplexityBot all received a normal response.
- **Ordering on your own site.** Agents can order without a marketplace in the loop.

## Where it stands
821 of 2558 in Vienna. Top 32% of the sites scanned in this index.

| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 97% | yes |
| Publish the menu or price list as HTML | 83% | no |
| Let AI crawlers in (no edge block, no robots.txt block) | 95% | yes |
| Structured data with address, phone and hours | 42% | no |
| Have an llms.txt | 28% | no |

Nearest places with a similar menu: Pizzeria Fantastica (A, 356 m, https://directindex.org/r/fantastica.at); City Pizza (F, 448 m, https://directindex.org/r/willessen.at); San George (C, 640 m, https://directindex.org/r/sangeorge.at); Pizzeria Maddalena (A, 1056 m, https://directindex.org/r/pizzeria-maddalena.info); Pizzeria Ristorante Da Raffaello (A, 1062 m, https://directindex.org/r/pizzeria-daraffaello.at); Chano (D, 1136 m, https://directindex.org/r/chano.at); The rollin‘ cat - pizza & Billard (F, 1394 m, https://directindex.org/r/rollincat.at); Tybah (D, 2323 m, https://directindex.org/r/tybah-wien.at); Italiano (F, 2737 m, https://directindex.org/r/pizzaitaliano.at); Pizzeria Pronto (F, 2994 m, https://directindex.org/r/pizzeria-pronto.at).

## What assistants answer
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.

See what an AI agent reads on this site: https://directindex.org/r/evershinepizza.at/agent-view

## Businesses like Evershine Pizza in Vienna

| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Businesses of the same kind in Vienna | 2558 | 51% | 24% | 63.1% |

The best of the businesses of the same kind in Vienna: BellariaVienna (A 100%, https://directindex.org/r/bellaria.at); Brötchenwelt-Fünfhaus (A 100%, https://directindex.org/r/broetchenwelt.at); Chiki (A 100%, https://directindex.org/r/zuchinaman.at); Corleone (A 100%, https://directindex.org/r/corleonevienna.at); Diyar Etli Ekmek & Grill Cafe (A 100%, https://directindex.org/r/diyar-restaurant.at).

With the two fixes above (No structured data for the business; No menu or price list found) the score would be about 95.4%: 42nd of 2,558 in Vienna, up from 821st.

## The direct record
What agents get for Evershine Pizza, as JSON: https://directindex.org/api/direct/evershinepizza.at
- Book: none on record
- Order: https://evershinepizza.at/essen-bestellen (own site; found by the scan of 2026-10-15, not yet tested)
- Menu: none on record
- Hours: Mo-Fr 11:00-15:00,17:00-23:00; Sa,Su 11:00-23:00 (closed now) (from OpenStreetMap)
- Phone: 01/203 98 15.und 069
- Stable links that count: https://directindex.org/go/evershinepizza.at/order

## Can an agent transact?
Measured, not scored (the score stays at spec v1.0).
- 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

## Score breakdown
| Component | Points | Available |
|---|---|---|
| Reachable | 25 | 25 |
| Readable | 1 | 25 |
| Actionable | 15 | 15 (the action test: pending) |
| Cited | 0 | 0 (the assistant citation check: pending) |

## Agent readiness (Cloudflare)
Level 0 of 5, Not Ready. Cloudflare's report: https://isitagentready.com/evershinepizza.at
- Link headers on the homepage: no (how: https://isitagentready.com/.well-known/agent-skills/link-headers/SKILL.md)
- sitemap.xml: yes
- AI bot rules in robots.txt: no (how: https://isitagentready.com/.well-known/agent-skills/ai-rules/SKILL.md)
- Content Signals in robots.txt: no (how: https://isitagentready.com/.well-known/agent-skills/content-signals/SKILL.md)
- Markdown on Accept: text/markdown: no (how: https://isitagentready.com/.well-known/agent-skills/markdown-negotiation/SKILL.md)
- llms.txt: no (how: https://isitagentready.com/.well-known/agent-skills/llms-txt/SKILL.md)
- API catalog (RFC 9727): no (how: https://isitagentready.com/.well-known/agent-skills/api-catalog/SKILL.md)
- MCP server card: no (how: https://isitagentready.com/.well-known/agent-skills/mcp-server-card/SKILL.md)
- A2A agent card: no (how: https://isitagentready.com/.well-known/agent-skills/a2a-agent-card/SKILL.md)
- Agent Skills index: no (how: https://isitagentready.com/.well-known/agent-skills/agent-skills/SKILL.md)
- OAuth or OIDC discovery: no (how: https://isitagentready.com/.well-known/agent-skills/oauth-discovery/SKILL.md)
- OAuth protected resource metadata: no (how: https://isitagentready.com/.well-known/agent-skills/oauth-protected-resource/SKILL.md)
- auth.md: no (how: https://isitagentready.com/.well-known/agent-skills/auth-md/SKILL.md)
- Web Bot Auth key directory: no (how: https://isitagentready.com/.well-known/agent-skills/web-bot-auth/SKILL.md)
- ARD capability manifest: no (how: https://isitagentready.com/.well-known/agent-skills/ard/SKILL.md)
- DNS-AID records: no (how: https://isitagentready.com/.well-known/agent-skills/dns-aid/SKILL.md)
- WebMCP tools on the page: no (how: https://isitagentready.com/.well-known/agent-skills/webmcp/SKILL.md)
- JSON-LD for the business: no

Keep watching this business (https://directindex.org/r/evershinepizza.at/plan): the assistants asked again every month, with what changed; 2 EUR a month or 19 EUR a year.
Deep report: https://directindex.org/r/evershinepizza.at/deep. Ten questions the way people ask, each assistant's full answer, the eight nearest similar places, the fix plan and a PDF: 5 EUR, one-off. Reading and scanning stay free; these few euros pay for the questions sent to the assistants and for the servers.
Methodology: https://directindex.org/methodology · Rescan now: https://directindex.org/scan?url=evershinepizza.at&force=1