ramenishida.com is hard for agents to use.
Menu: www.ramenishida.com/#new-page-section
See what an AI agent reads on this site →
35 of 65 points available
agent-readiness level, Basic Web Presence
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
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: squarespace · Front: cloudflare
Filled from the business's own record and this scan. Check every line before it goes live; where it goes on squarespace 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": "Ramen Ishida",
"url": "https://ramenishida.com",
"telephone": "+1 646-590-3276",
"address": {
"@type": "PostalAddress",
"streetAddress": "Ludlow Street 122",
"postalCode": "10002",
"addressLocality": "New York"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 40.7196475,
"longitude": -73.9884561
},
"openingHours": "Mo-Sa 12:00-16:00, 17:30-22:00",
"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Monday",
"Tuesday",
"Wednesday",
"Thursday",
"Friday",
"Saturday"
],
"opens": "12:00",
"closes": "16:00"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Monday",
"Tuesday",
"Wednesday",
"Thursday",
"Friday",
"Saturday"
],
"opens": "17:30",
"closes": "22:00"
}
],
"servesCuisine": [
"japanese"
],
"hasMenu": "https://www.ramenishida.com/#new-page-section"
}
</script>
Save as /llms.txt at the root of the site. Guide.
# Ramen Ishida > restaurant (japanese) in Ludlow Street 122 10002 New York, New York. Phone +1 646-590-3276. ## Book or order directly - Menu: https://www.ramenishida.com/#new-page-section ## Opening hours Mo-Sa 12:00-16:00, 17:30-22:00 ## About - Website: https://ramenishida.com - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
Top 58% of the sites scanned in this index. Just above: Pye Boat Noodle D, Ramen Ishida D. Just below: Redd's Restaurant D, Revelie 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 | 99% | yes |
| Let AI crawlers in (no edge block, no robots.txt block) | 94% | yes |
| Structured data with address, phone and hours | 50% | no |
| Have an llms.txt | 13% | no |
The top tenth is the 433 best-scoring reachable sites of the index at the last refresh.
| Average score | A or B | This site | |
|---|---|---|---|
| Sites built with Squarespace 6,916 sites | 64% | 46% | 53.8% |
| Sites using Grubhub 140 sites | 66% | 46% | 53.8% |
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Izakaya Juraku japanese | 19 m | B | yes |
| BBF japanese | 266 m | F | no |
| Yopparai Ronin japanese | 289 m | A | yes |
| Nakamura japanese, ramen | 339 m | A | yes |
| Ivan Ramen ramen, japanese | 353 m | B | yes |
| Rabbit House Omakase & Sake Bar japanese | 386 m | C | yes |
| Cocoron japanese | 395 m | A | yes |
| Sushi Oku sushi, japanese | 542 m | B | yes |
| Lovely Day japanese, breakfast, eclectic | 554 m | A | yes |
| Batsu asian, japanese | 645 m | D | no |
| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Same kind in New York | 4,270 | 52% | 40% | 53.8% |
| Built with Squarespace in New York | 584 | 74% | 65% | 53.8% |
| Using Grubhub in New York | 73 | 66% | 42% | 53.8% |
| Built with Squarespace and using Grubhub in New York | 21 | 66% | 43% | 53.8% |
La Locanda A 93.8% · Cebu A 89.2% · Cinco de Mayo B 84.6% · Java Rijsttafel B 75.4% · Le Chéile B 75.4%
With the two fixes above (No structured data for the business; Ordering only through grubhub) the score would be about 95.4%: 74th of 4,270 in New York, up from 2474th.
Peers are the businesses of the same index with a reachable site, latest scan of each; the rank uses the index's current ranking.
The links an assistant is sent when it books, orders or reads the menu for this business, where each leads, and when a browser last checked it. The same record is served as JSON at /api/direct/ramenishida.com, through the MCP tool direct_record and in the city feed /city/new-york/direct.json.
| Path | Link | Status |
|---|---|---|
| Book | none on record | |
| Order | none on record | |
| Menu | www.ramenishida.com/#new-page-section html_page | from the scan |
| Hours | Mo-Sa 12:00-16:00, 17:30-22:00 (open now) | from OpenStreetMap |
| Phone | +1 646-590-3276 |
Stable links that count: /go/ramenishida.com/menu answer 302 to the links above; the count is the line "followed N direct links" on this page.
Owners: claim the business below to correct this record; the claim email carries the link.
Measured, not scored: the Agent-Direct Score stays at specification v1.0. This says which rails an agent could transact through today, and what the booking or ordering vendor's terms allow.
| UCP profile /.well-known/ucp, Google and Shopify's Universal Commerce Protocol | not measured |
| ACP discovery document /.well-known/acp.json, OpenAI and Stripe's Agentic Commerce Protocol | not measured |
| 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 | not measured |
| Vendor terms for agents Grubhub, read 2026-10-15 | Partners only |
Not measured at this scan; the next scan measures it.
Grubhub's terms of use (17 December 2024) bar access with any robot, spider, crawler or automated process; since June 2026 Alexa+ users can browse, build an order and check out through Grubhub by voice. Source. About Grubhub · all vendors.
The next scan also reads the contact, menu and booking pages one hop deeper; facts found there can change the score.
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 | yes |
| AI bot rules in robots.txt | yes |
| 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/ramenishida.com"><img src="https://directindex.org/badge/ramenishida.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.