Flor de Sol
cafeolenyc.com is hard for agents to use.
Menu: cafeolenyc.com/menu.php
See what an AI agent reads on this site →
31.7 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
- No booking or ordering path at all +13 points
Only a phone number or WhatsApp. Agents cannot act on those yet. Add a booking or ordering page. How to fix it
- The server turns AI crawlers away at the door +3.3 points
Live fetches as GPTBot (http_429) were refused while a normal browser got the page. This is usually a hosting or firewall bot list the owner never chose. Ask the host to allow these user agents. 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.
- Menu or price list is an HTML page Agents can read items and prices directly.
Builder: unknown · Front: cloudflare · Cloudflare in front; AI crawlers blocked at the edge
What to paste
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.
Structured data (JSON-LD)
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": "Flor de Sol",
"url": "https://cafeolenyc.com/",
"telephone": "+1 718-349-7777",
"address": {
"@type": "PostalAddress",
"streetAddress": "36th Avenue 38-09"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 40.7539108,
"longitude": -73.9237443
},
"openingHours": "Mo-Th, Su 12:00-22:00; Fr, Sa 12:00-11:00",
"servesCuisine": [
"spanish"
],
"hasMenu": "https://cafeolenyc.com/menu.php"
}
</script>
llms.txt
Save as /llms.txt at the root of the site. Guide.
# Flor de Sol > restaurant (spanish) in 36th Avenue 38-09, New York. Phone +1 718-349-7777. ## Book or order directly - Menu: https://cafeolenyc.com/menu.php ## Opening hours Mo-Th, Su 12:00-22:00; Fr, Sa 12:00-11:00 ## About - Website: https://cafeolenyc.com/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
2,701 of 4,817 in New York
Top 56% of the sites scanned in this index. Just above: mishmish Mediterranean Home D, Cafe Luluc D. Just below: Maz Mescal D, Shashlik Uzn1 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% | no |
| 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.
Nearest places in the index
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| El Mero Mero mexican | 20 m | D | no |
| The Monster Crab cajun, seafood | 135 m | B | yes |
| Rokstar Chicken korean | 238 m | B | yes |
| Café Triskell french | 408 m | D | no |
| Luna Asian Bistro asian | 454 m | D | no |
| Sake Kawa sushi | 483 m | D | no |
| Astoria Seafood seafood | 509 m | D | yes |
| Chano's Cantina mexican | 569 m | A | yes |
| Sotto La Luna italian | 605 m | A | yes |
| Urban Vegan Roots | 615 m | C | no |
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. 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 | yes |
| 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/cafeolenyc.com"><img src="https://directindex.org/badge/cafeolenyc.com.svg" alt="Agent-Direct Score D" 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.
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.