# Lagash Çiğköfte Çengelköy: Agent-Direct Score C (63.1%)

Site: http://lagash.com.tr/
Report: https://directindex.org/r/lagash.com.tr
Scanned: 2026-10-22 (Provisional, with the action test and the assistant citation check still to come. The hatched part of the bar isn't measured yet.)
Lagash Çiğköfte Çengelköy is partly visible to agents.
An AI assistant can open Lagash Çiğköfte Çengelköy's website. It can't find a menu or price list, so it answers from other sites. It finds a way to book or order directly on the site.

## Direct links
- Book directly: https://www.lagash.com.tr/mesafeli-satis-sozlesmesi (on the business's own site)
- Phone: +902163182520
- Address: Çengelköy Cd. 36/A, 34680, Üsküdar
- Languages: Turkish, English
- WhatsApp: a link on the site

## Nearby, also direct
Places near Lagash Çiğköfte Çengelköy that take a booking or an order on their own website, with no marketplace in between.
- Osteria Salvatore (510 m): https://directindex.org/r/osteriasalvatore.com

## 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). Every assistant reads this block first, and 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 page with the menu or price list and link to it from the homepage. Guide: https://directindex.org/guides/menu-pdf-ai
- **No llms.txt.** (no points, but worth doing) Optional for now and cheap to add. It's a short text file that describes the business for language models. Guide: https://directindex.org/guides/llms-txt-for-a-business
- **The phone number on the site doesn't match the open map data.** The site shows 08508481848, but OpenStreetMap or Overture Maps lists +902163182520. An assistant that sees two numbers can't tell which one to trust. Fix whichever is wrong, on the site or in the map data at openstreetmap.org.

## Fix kit: What to paste

Structured data (JSON-LD). Paste it as one block in the page's head, or in the builder's custom code box. Change anything that's wrong.

```html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "name": "Lagash Çiğköfte Çengelköy",
  "url": "http://lagash.com.tr/",
  "telephone": "+902163182520",
  "address": "Çengelköy Cd. 36/A, 34680, Üsküdar",
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 41.04999721,
    "longitude": 29.05366969
  },
  "potentialAction": [
    {
      "@type": "ReserveAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://www.lagash.com.tr/mesafeli-satis-sozlesmesi",
        "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.

```
# Lagash Çiğköfte Çengelköy

> local business in Çengelköy Cd. 36/A, 34680, Üsküdar, Istanbul. Phone +902163182520.

## Book or order directly

- Book: https://www.lagash.com.tr/mesafeli-satis-sozlesmesi (on the business's own site)

## About

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

## Already right
- **robots.txt lets AI crawlers in.** No rule blocks the main AI user agents.
- **AI crawlers get the page.** GPTBot, ClaudeBot and PerplexityBot all got a normal response.
- **Booking on your own site.** Agents can book without going through a marketplace.

## Where it stands
479 of 2321 in Istanbul. Top 21% of the sites scanned in this index.

| What the top 10% of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 81% | yes |
| Publish the menu or price list as HTML | 79% | no |
| Let AI crawlers in (no block at the server or in robots.txt) | 88% | yes |
| Structured data with address, phone and hours | 41% | no |
| Have an llms.txt | 27% | no |

Nearest places in the index: Çengelköy Köftecisi (D, 46 m, https://directindex.org/r/cengelkoyborekcisi.com.tr); Ciğerci Çengelköy (C, 55 m, https://directindex.org/r/cigercicengelkoy.com.tr); Clucky & Co - Fried Chicken (B, 61 m, https://directindex.org/r/clucky-co.com); Paşa Kokoreç ve İşkembe (D, 121 m, https://directindex.org/r/pasakokorec.com); Neşve (C, 129 m, https://directindex.org/r/nesve.com); İnci Bosphorus (F, 160 m, https://directindex.org/r/incibosphorus.com); Kai Çengelköy (F, 181 m, https://directindex.org/r/kaicengelkoy.com); Gul Sultan Yalisi (F, 501 m, https://directindex.org/r/gulsultanyalisi.com); Osteria Salvatore (B, 507 m, https://directindex.org/r/osteriasalvatore.com); Beylerbeyi Abbas Waffle (F, 507 m, https://directindex.org/r/abbaswaffle.com.tr).

## What assistants answer
The assistants haven't been asked about this business yet. They're asked about the top-ranked businesses in each city index, and about any business as soon as it's claimed. Claim this page to be included.

The assistants were asked 12 everyday questions about Istanbul and named 65 places. Lagash Çiğköfte Çengelköy wasn't one of them. See who was named: https://directindex.org/city/istanbul/recommended


See what an AI agent reads on this site: https://directindex.org/r/lagash.com.tr/agent-view

## Businesses like Lagash Çiğköfte Çengelköy in Istanbul

| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Businesses of the same kind in Istanbul | 2321 | 44% | 14% | 63.1% |

The best of the businesses of the same kind in Istanbul: Bi'tas Çorba (A 100%, https://directindex.org/r/bitascorba.com); Cigerhane (A 100%, https://directindex.org/r/cigerhane.com); Eagle chinese gastro & sushi (A 100%, https://directindex.org/r/eaglechinese.com.tr); Garden 1897 Restaurant (A 100%, https://directindex.org/r/garden1897.com); HR italy Karaköy (A 100%, https://directindex.org/r/hr-italy.com).

With the two fixes above (No structured data for the business; No menu or price list found), the score would be about 95.4%. That would be 23rd of 2,321 in Istanbul, up from 479th.

## The direct record
What agents get for Lagash Çiğköfte Çengelköy, as JSON: https://directindex.org/api/direct/lagash.com.tr
- Book: https://www.lagash.com.tr/mesafeli-satis-sozlesmesi (own site; found by the scan of 2026-10-22, not yet tested)
- Order: none on record
- Menu: none on record
- Hours: none on record
- Phone: +902163182520
- Stable links that count: https://directindex.org/go/lagash.com.tr/book

## 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 1 of 5, Basic Web Presence. Cloudflare's report: https://isitagentready.com/lagash.com.tr
- 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: yes
- 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/lagash.com.tr/plan): the assistants are asked again every month, and you see what changed. 2 EUR a month or 19 EUR a year.
Deep report: https://directindex.org/r/lagash.com.tr/deep. Ten questions phrased the way people ask them, each assistant's full answer, the eight nearest similar places, the fix plan and a PDF. 5 EUR, paid once. 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=lagash.com.tr&force=1
