kebabaursharab.com is hard for agents to use.
Menu: kebabaursharab.com/kebab-sharab-menu-2024.pdf
See what an AI agent reads on this site →
30 of 65 points available
agent-readiness level, Not Ready
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.
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
Every agent transaction goes through the marketplace and its commission. Add a direct path on your own site, even a simple form. How to fix it About this vendor
Most agents skip PDFs or read them badly. Publish it as HTML, keep the PDF as a download. How to fix it
Crawlers that do not run scripts see an empty page. Render the menu, hours and address as plain HTML. How to fix it
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 New York. List your agency or yourself: free, reviewed by hand.
Builder: unknown · Front: cloudflare · almost no text without JavaScript
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.
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": "Restaurant",
"name": "Kebab aur Sharab",
"url": "https://kebabaursharab.com",
"telephone": "+12125405247",
"address": {
"@type": "PostalAddress",
"streetAddress": "West 72nd Street 247",
"postalCode": "10023"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 40.7795249,
"longitude": -73.9833358
},
"openingHours": "Su-Th 17:00-22:30; Fr-Sa 17:00-23:30",
"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Sunday",
"Monday",
"Tuesday",
"Wednesday",
"Thursday"
],
"opens": "17:00",
"closes": "22:30"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Friday",
"Saturday"
],
"opens": "17:00",
"closes": "23:30"
}
],
"servesCuisine": [
"indian"
],
"hasMenu": "https://kebabaursharab.com/kebab-sharab-menu-2024.pdf"
}
</script>
Save as /llms.txt at the root of the site. Guide.
# Kebab aur Sharab > restaurant (indian) in West 72nd Street 247 10023, New York. Phone +12125405247. ## Book or order directly - Menu: https://kebabaursharab.com/kebab-sharab-menu-2024.pdf ## Opening hours Su-Th 17:00-22:30; Fr-Sa 17:00-23:30 ## About - Website: https://kebabaursharab.com - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
Top 57% of the sites scanned in this index. Just above: Golden Diner D, Kame D. Just below: Koliba D, Laut D.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 100% | no |
| Publish the menu or price list as HTML | 97% | no |
| Let AI crawlers in (no edge block, no robots.txt block) | 94% | yes |
| Structured data with address, phone and hours | 49% | no |
| Have an llms.txt | 13% | no |
The top tenth is the 488 best-scoring reachable sites of the index at the last refresh.
| Average score | A or B | This site | |
|---|---|---|---|
| Sites using Resy 548 sites | 69% | 48% | 46.2% |
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Alachi Masala indian | 940 m | F | no |
| Bengal Tiger indian | 1.6 km | B | yes |
| Jaz indian | 1.6 km | B | yes |
| Mughlai Indian Cuisine indian | 1.6 km | C | no |
| Saar Indian Restaurant indian | 1.9 km | A | yes |
| Baazi indian | 2.1 km | A | yes |
| Taco Mahal indian | 2.2 km | B | no |
| Javitri indian | 2.2 km | F | no |
| Tandoor Oven indian | 2.4 km | A | yes |
| Anand Indian Cuisine indian | 2.5 km | D | no |
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 | no how |
| AI bot rules in robots.txt | no how |
| Content Signals in robots.txt | no how |
| Markdown on Accept: text/markdown | no how |
| llms.txt | no how |
| 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 | no how |
| OAuth protected resource metadata | no how |
| 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 | no how |
| 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/kebabaursharab.com"><img src="https://directindex.org/badge/kebabaursharab.com.svg" alt="Agent-Direct Score D" 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.