The Direct Index
Report · New York cafes and bars · scanned 2026-10-23

Las Margaritas

lasmargaritasrestaurantsportsbar.com is largely invisible to agents.

Listed by Overture Maps.

CallWebsite

Ways to reach Las Margaritas directly, with no marketplace in between. Checked 2026-10-23. Report a mistake

83-22 37th Ave, 11372, New York · +17182051705

Nearby, also direct

Places near Las Margaritas that take a booking or an order on their own website, with no marketplace in between.

Owners

The website's grade

Some AI assistants are turned away by Las Margaritas's website. It can't find a menu or price list, so it answers from other sites. It can't find a link to book or order online.

15.4%

10 of 65 points available

0/5

agent-readiness level, Not Ready

7

things to fix

Provisional, with the action test and the assistant citation check still to come. The hatched part of the bar isn't measured yet.

See what an AI agent reads on this site →

Assistants

What assistants answer

Each assistant gets three questions about this business: the official website, where to book and where to order. Each cell shows where the answer sent people.

The assistants haven't been asked about this business yet. They're asked about the top-ranked businesses in each city index, and about any business as soon as it's claimed. Claim this page to be included.

The assistants were asked 12 everyday questions about New York cafes and bars and named 95 places. Las Margaritas wasn't one of them. See who was named →

Where it stands

How Las Margaritas compares

Where it stands

3,457 of 4,114 in New York cafes and bars

Top 84% of the sites scanned in this index. Just above: Korova Milk Bar F, KrashNYC F. Just below: Le Souk Restaurant & Lounge F, Little Beaver F.

What the top 10% of the index doesTop 10%This site
Take bookings or orders on their own domain97%no
Publish the menu or price list as HTML95%no
Let AI crawlers in (no block at the server or in robots.txt)98%no
Structured data with address, phone and hours36%no
Have an llms.txt23%no

The top 10% are the 421 highest-scoring reachable sites in the index at the last update.

Nearest places in the index

PlaceDistanceGradeDirect booking or ordering
Hombres Lounge148 mFno
Terraza 7256 mCyes
SAL Y PIMIENTA BAR305 mDno
969 NYC Coffee347 mFno
Melao412 mDno
Friend's Tavern472 mFno
Mangos Night Club497 mFno
Espresso 77 coffee_shop538 mByes
Club Evolution605 mDno
Amaru Bar689 mCno
Businesses like yours

Businesses like Las Margaritas in New York cafes and bars

GroupSitesAvg scoreA or BThis site
Businesses of the same kind in New York cafes and bars4,11448%27%15.4%

The best of the businesses of the same kind in New York cafes and bars

Americano Cafe A 100% · Bora Bora Smoothie Cafe A 100% · BreakJuicery A 100% · Cafe Luna A 100% · Cafe Mia A 100%

After the top fixes

With the three fixes above (No structured data for the business; No booking or ordering link on the website; robots.txt blocks GPTBot, ClaudeBot, PerplexityBot, Google-Extended, OAI-SearchBot, ChatGPT-User, Claude-User, Perplexity-User), the score would be about 76.9%. That would be 633rd of 4,114 in New York cafes and bars, up from 3457th.

Peers are the businesses in the same index that have a reachable site, using the latest scan of each. The rank comes from the index's current ranking.

Findings

What to fix first

  1. No structured data for the business +15 points

    Add schema.org JSON-LD for the business (CafeOrCoffeeShop, BarOrPub or the closest type, with name, address, telephone and openingHoursSpecification, plus servesCuisine). Every assistant reads this block first, and the fix kit below has it filled in. How to fix it

  2. No booking or ordering link on the website +15 points

    There's no link on the site for an agent to follow. If you take bookings or orders through a platform, link to it from the site so agents can find it. Add a booking or ordering page on your own domain. How to fix it

  3. robots.txt blocks GPTBot, ClaudeBot, PerplexityBot, Google-Extended, OAI-SearchBot, ChatGPT-User, Claude-User, Perplexity-User +10 points

    These are the crawlers behind ChatGPT, Claude, Perplexity and Google's AI features. Remove the Disallow lines for them, or add explicit Allow rules. How to fix it

  4. No menu or price list found +7 points

    Agents answer 'what do they offer?' from marketplaces instead. Add a page with the menu or price list and link to it from the homepage. How to fix it

  5. No working HTTPS +3 points

    The page is only served over plain http. Browsers and agents rank it lower or refuse it.

  6. Almost no text without JavaScript +2 points

    Crawlers that don't run scripts see an empty page. Put the menu, hours and address in plain HTML. How to fix it

  7. No llms.txt no points, but worth doing

    Optional for now and cheap to add. It's a short text file that describes the business for language models. How to fix it

Send the fixes to your web person

One email with the fixes and the link. Nothing is stored.

No one is listed yet to fix this in New York cafes and bars. List your agency or yourself. It's free, and every listing is reviewed by hand.

Already right

  • AI crawlers get the page GPTBot, ClaudeBot and PerplexityBot all got a normal response.

Builder: unknown · almost no text without JavaScript

Fix kit

What to paste

Filled in from the business's own record and this scan. Check every line before it goes live. The guides show where it goes on your builder.

Show the code to paste

Structured data (JSON-LD)

Paste it as one block in the page's head, or in the builder's custom code box. Change anything that's wrong. Guide.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "name": "Las Margaritas",
  "url": "http://www.lasmargaritasrestaurantsportsbar.com/",
  "telephone": "+17182051705",
  "address": "83-22 37th Ave, 11372, New York",
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 40.74978122,
    "longitude": -73.88251149
  }
}
</script>

robots.txt

Add these lines to /robots.txt and delete any Disallow rule that names these crawlers. Guide.

# Let AI assistants read the site: they send people to you; a marketplace keeps them.
# Remove any Disallow lines for these names elsewhere in this file.
User-agent: GPTBot
Allow: /

User-agent: ClaudeBot
Allow: /

User-agent: PerplexityBot
Allow: /

User-agent: Google-Extended
Allow: /

User-agent: OAI-SearchBot
Allow: /

User-agent: ChatGPT-User
Allow: /

User-agent: Claude-User
Allow: /

User-agent: Perplexity-User
Allow: /

llms.txt

Save as /llms.txt at the root of the site. Guide.

# Las Margaritas

> local business in 83-22 37th Ave, 11372, New York, New York cafes and bars. Phone +17182051705.

## About

- Website: http://www.lasmargaritasrestaurantsportsbar.com/
- This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
Owners

Own this business?

If you fixed something or think a check is wrong, rescan. Rescans are free. Claiming takes one email to confirm. After that, the three assistants are asked about the business right away and the site is rescanned every week. You get a message only when the score changes.

· Markdown · Dispute a check

Keep watching this business: the assistants are asked again every month, and you see what changed. 2 EUR a month or 19 EUR a year. Deep report: ten questions to each assistant, plus the places nearby. 5 EUR, paid once. Reading and scanning stay free. These few euros pay for the questions sent to the assistants and for the servers.

Show the score

Owners who score well put the badge on their site. It links back here and updates with every scan.

Agent-Direct Score F

<a href="https://directindex.org/r/lasmargaritasrestaurantsportsbar.com"><img src="https://directindex.org/badge/lasmargaritasrestaurantsportsbar.com.svg" alt="Agent-Direct Score F" width="236" height="40"></a>
For developers and agents

What agents get, and what the site publishes

The direct record agents get for this business, the rails an agent could transact through, and the agent standards the site publishes.

Show the details
The direct record

What agents get for Las Margaritas

No direct path on record: the scan of 2026-10-23 found no booking or ordering link on lasmargaritasrestaurantsportsbar.com or on a vendor's site. The same record is served as JSON at /api/direct/lasmargaritasrestaurantsportsbar.com, through the MCP tool direct_record and in the city feed /city/new-york-cafes-bars/direct.json.

PathLinkStatus
Booknone on record
Ordernone on record
Menunone on record
Hoursnone on record
Phone+17182051705

Owners: claim the business below to correct this record; the claim email carries the link.

Transactable

Can an agent transact?

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
no
ACP discovery document
/.well-known/acp.json, OpenAI and Stripe's Agentic Commerce Protocol
no
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
no
Agent readiness

Level 0 of 5, Not Ready

These are the standards an agent looks for before it reads a page, checked the same way as Cloudflare's Agent Readiness scan. They don't count toward the score. Each missing item links to a how-to. Cloudflare's report.

Link headers on the homepageno how
sitemap.xmlno how
AI bot rules in robots.txtyes
Content Signals in robots.txtno how
Markdown on Accept: text/markdownno how
llms.txtno how
API catalog (RFC 9727)no how
MCP server cardno how
A2A agent cardno how
Agent Skills indexno how
OAuth or OIDC discoveryno how
OAuth protected resource metadatano how
auth.mdno how
Web Bot Auth key directoryno how
ARD capability manifestno how
DNS-AID recordsno how
WebMCP tools on the pageno how
JSON-LD for the businessno