Cafe La Fe
cafelafenyc.com is partly visible to agents.
See what an AI agent reads on this site →
45 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
- Ordering through an unrecognised third party +9 points
Check that the provider keeps you as the merchant of record. How to fix it
- No menu or price list found +7 points
Agents answer 'what do they offer' from marketplaces instead. Add a menu or price list page and link it from the homepage. How to fix it
- Almost no text without JavaScript +2 points
Crawlers that do not run scripts see an empty page. Render the menu, hours and address as plain HTML. How to fix it
- Structured data is incomplete +2 points
Missing: telephone. 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 cafes and bars. 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.
- Structured data present (Restaurant) address, opening hours
Builder: unknown · 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 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": "CafeOrCoffeeShop",
"name": "Cafe La Fe",
"url": "https://cafelafenyc.com/",
"address": {
"@type": "PostalAddress",
"streetAddress": "East 1st Street 70",
"addressLocality": "New York"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 40.7235315,
"longitude": -73.9887809
},
"servesCuisine": [
"coffee shop",
"empanada"
]
}
</script>
llms.txt
Save as /llms.txt at the root of the site. Guide.
# Cafe La Fe > cafe or coffee shop (coffee shop, empanada) in East 1st Street 70 New York, New York cafes and bars. ## About - Website: https://cafelafenyc.com/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
469 of 1,808 in New York cafes and bars
Top 26% of the sites scanned in this index. Just above: Bonnie Vee C, Brooklyn Farmacy & Soda Fountain C. Just below: Clubhouse Cafe C, Corgi Cafe C.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 98% | no |
| Publish the menu or price list as HTML | 96% | no |
| Let AI crawlers in (no edge block, no robots.txt block) | 99% | yes |
| Structured data with address, phone and hours | 23% | no |
| Have an llms.txt | 9% | no |
The top tenth is the 182 best-scoring reachable sites of the index at the last refresh.
Nearest places with a similar menu
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Rex coffee_shop, breakfast, sandwich | 444 m | B | yes |
| Koneko Cat Cafe coffee_shop, japanese | 512 m | D | no |
| Not As Bitter coffee_shop | 698 m | D | no |
| Matcha Cafe Maiko coffee_shop | 721 m | D | no |
| Georgie's Cafe & Bar coffee_shop | 739 m | C | no |
| Hokkaido Baked Cheese Tart coffee_shop, pastry | 751 m | C | no |
| Veniero's Pasticceria & Caffé pastry, coffee_shop | 753 m | B | yes |
| Matto Espresso coffee_shop | 865 m | D | no |
| Boris and Horton coffee_shop | 888 m | B | yes |
| Cafe Habibti coffee_shop | 1.0 km | D | no |
Businesses like Cafe La Fe in New York cafes and bars
| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Same kind in New York cafes and bars | 1,808 | 41% | 26% | 69.2% |
The best of Same kind in New York cafes and bars
Analogue A 100% · Calyer Cafe & Kitchen A 100% · Sandwell A 100% · Jeremy's A 96.9% · Black Seed Bagels A 95.4%
The climb
With the three fixes above (Ordering through an unrecognised third party; No menu or price list found; Almost no text without JavaScript) the score would be about 96.9%: 4th of 1,808 in New York cafes and bars, up from 469th.
Peers are the businesses of the same index with a reachable site, latest scan of each; the rank uses the index's current ranking.
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 | no how |
| WebMCP tools on the page | no how |
| JSON-LD for the business | yes |
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/cafelafenyc.com"><img src="https://directindex.org/badge/cafelafenyc.com.svg" alt="Agent-Direct Score C" 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.