wokuninyc.com is hard for agents to use.
Menu: www.wokuninyc.com/menu-lexington
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
Only a phone number or WhatsApp. Agents cannot act on those yet. Add a booking or ordering page. 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: 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": "Wokuni",
"url": "https://wokuninyc.com/",
"telephone": "+1 212-447-1212",
"email": "info@wokuninyc.com",
"address": {
"@type": "PostalAddress",
"streetAddress": "Lexington Avenue 327",
"postalCode": "10016"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 40.7492545,
"longitude": -73.9774425
},
"openingHours": "Mo 11:30-14:45, 17:00-22:00; Tu-Fr 11:30-14:45, 17:00-23:00; Sa 11:30-15:45, 17:00-23:00; Su 17:00-22:00, 11:30-15:45",
"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Monday"
],
"opens": "11:30",
"closes": "14:45"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Monday"
],
"opens": "17:00",
"closes": "22:00"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Tuesday",
"Wednesday",
"Thursday",
"Friday"
],
"opens": "11:30",
"closes": "14:45"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Tuesday",
"Wednesday",
"Thursday",
"Friday"
],
"opens": "17:00",
"closes": "23:00"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Saturday"
],
"opens": "11:30",
"closes": "15:45"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Saturday"
],
"opens": "17:00",
"closes": "23:00"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Sunday"
],
"opens": "17:00",
"closes": "22:00"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Sunday"
],
"opens": "11:30",
"closes": "15:45"
}
],
"servesCuisine": [
"japanese",
"seafood"
],
"hasMenu": "https://www.wokuninyc.com/menu-lexington"
}
</script>
Save as /llms.txt at the root of the site. Guide.
# Wokuni > restaurant (japanese, seafood) in Lexington Avenue 327 10016, New York. Phone +1 212-447-1212. ## Book or order directly - Menu: https://www.wokuninyc.com/menu-lexington ## Opening hours Mo 11:30-14:45, 17:00-22:00; Tu-Fr 11:30-14:45, 17:00-23:00; Sa 11:30-15:45, 17:00-23:00; Su 17:00-22:00, 11:30-15:45 ## About - Website: https://wokuninyc.com/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
Top 52% of the sites scanned in this index. Just above: Wingstop D, Wogies D. Just below: Zara Cafe Grill D, Align Coffee 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% | 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.
| Average score | A or B | This site | |
|---|---|---|---|
| Sites built with Squarespace 6,916 sites | 64% | 46% | 53.8% |
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Katagiri japanese, ramen, sushi | 187 m | D | no |
| Sushi Ryusei sushi, japanese | 214 m | B | yes |
| Tenho Ramen japanese | 232 m | F | no |
| Grand Central Oyster Bar and Restaurant seafood | 352 m | C | yes |
| Shuya japanese | 352 m | D | yes |
| Soba Totto japanese, soba | 420 m | F | no |
| Palladino's Steak & Seafood seafood, steak_house | 432 m | B | yes |
| Yakiniku TORAJI japanese | 440 m | D | no |
| Tiberias seafood, pizza, eclectic | 446 m | A | yes |
| BentOn japanese | 514 m | B | yes |
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/wokuninyc.com"><img src="https://directindex.org/badge/wokuninyc.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.