Luna Rossa
lunarossanyc.com is mostly ready for agents.
Book directly: lunarossanyc.com/#reservations on the business's own site · Menu: lunarossanyc.com/menus#dinner
See what an AI agent reads on this site →
48 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.
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. How to fix it
- Ordering through an unrecognised third party no points, still worth doing
Check that the provider keeps you as the merchant of record. How to fix it
- 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 New York. List your agency or yourself: free, reviewed by hand.
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.
- Menu or price list is an HTML page Agents can read items and prices directly.
- Booking on your own site Agents can book without a marketplace in the loop.
Builder: webflow · Front: cloudflare
What to paste
Filled from the business's own record and this scan. Check every line before it goes live; where it goes on webflow 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": "Luna Rossa",
"url": "https://lunarossanyc.com",
"telephone": "+1 212-517-3118",
"email": "lunarossanyc@gmail.com",
"address": {
"@type": "PostalAddress",
"streetAddress": "East 85th Street 347",
"postalCode": "10128"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 40.7765138,
"longitude": -73.9503813
},
"openingHours": "Mo-Sa 15:00-22:30, Su 12:00-21:00",
"servesCuisine": [
"italian"
],
"acceptsReservations": "https://lunarossanyc.com/#reservations",
"hasMenu": "https://lunarossanyc.com/menus#dinner",
"potentialAction": [
{
"@type": "ReserveAction",
"target": {
"@type": "EntryPoint",
"urlTemplate": "https://lunarossanyc.com/#reservations",
"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.
# Luna Rossa > restaurant (italian) in East 85th Street 347 10128, New York. Phone +1 212-517-3118. ## Book or order directly - Book: https://lunarossanyc.com/#reservations (on the business's own site) - Menu: https://lunarossanyc.com/menus#dinner ## Opening hours Mo-Sa 15:00-22:30, Su 12:00-21:00 ## About - Website: https://lunarossanyc.com - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
1,376 of 4,817 in New York
Top 29% of the sites scanned in this index. Just above: Love and Dough B, Luka's Italian Cuisine B. Just below: Lungi B, Madame Vo B.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 100% | yes |
| Publish the menu or price list as HTML | 97% | yes |
| 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.
Against its peers
| Average score | A or B | This site | |
|---|---|---|---|
| Sites built with Webflow 1,854 sites | 57% | 25% | 73.8% |
Nearest places with a similar menu
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Sandro's italian | 98 m | C | yes |
| Il Carino italian | 334 m | D | no |
| Farina on 2nd italian | 374 m | B | no |
| San Matteo Pizzeria e Cucina italian | 392 m | B | no |
| Aunt Jake's italian | 404 m | A | yes |
| Serafina Restaurant italian | 413 m | C | yes |
| Siena Cafe italian | 507 m | A | yes |
| Antonucci Cafe italian | 546 m | B | yes |
| The Simone italian | 557 m | F | no |
| Delizia 92 italian | 571 m | A | yes |
Level 0 of 5, Not Ready
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 homepage | no how |
| sitemap.xml | yes |
| 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 |
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.
Show the score
Owners who score well embed the badge; it links back here and updates with every scan.
<a href="https://directindex.org/r/lunarossanyc.com"><img src="https://directindex.org/badge/lunarossanyc.com.svg" alt="Agent-Direct Score B" width="236" height="40"></a>
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.