# LOLITA: Agent-Direct Score A (87.7%)

Site: http://lolitanewyorkcity.com/
Report: https://directindex.org/r/lolitanewyorkcity.com
Scanned: 2026-10-23 (Provisional, with the action test and the assistant citation check still to come. The hatched part of the bar isn't measured yet.)
LOLITA is ready for agents.
An AI assistant can open LOLITA's website. It can read what LOLITA offers. It finds a way to book or order directly, through Tripleseat.

## Direct links
- Book directly: https://api.tripleseat.com/v1/leads/ts_script.js?lead_form_id=34363&public_key=967f0f1e579e75fc4dde407b187384db0e6d80ec (through tripleseat acting for the business)
- Menu: https://www.lolitanewyorkcity.com/menus/
- Phone: +12123890050
- Address: 45 W 45th St, 10036, New York
- Its menu mentions: vegan options, vegetarian dishes, a lunch or set menu
- Prices: 3 prices on the site, the middle one $11.00

## Nearby, also direct
Places near LOLITA that take a booking or an order on their own website, with no marketplace in between.
- Amor Loco (300 m): https://directindex.org/r/amorloconyc.com
- Bar Mexicana (310 m): https://directindex.org/r/barmexicananyc.com
- Miss Yolo's Tacos (440 m): https://directindex.org/r/missyolostacos.com
- El Rey Tacos (450 m): https://directindex.org/r/tacoelrey.com
- Oxido (470 m): https://directindex.org/r/oxido.nyc

## What to fix first
- **Structured data is incomplete.** (+3 points) Missing: opening hours. Guide: https://directindex.org/guides/structured-data-restaurant
- **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. Guide: https://directindex.org/guides/llms-txt-for-a-business

## What the site tells visitors (Measured, not scored)
- **3 prices on the landing page, the middle one $11.00.** In New York, the middle price of comparable sites that show prices is $14.00.

## Fix kit: What 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.

```html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FoodEstablishment",
  "name": "LOLITA",
  "url": "http://lolitanewyorkcity.com/",
  "telephone": "+12123890050",
  "address": "45 W 45th St, 10036, New York",
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 40.75620539469507,
    "longitude": -73.98113429546358
  },
  "potentialAction": [
    {
      "@type": "ReserveAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://api.tripleseat.com/v1/leads/ts_script.js?lead_form_id=34363&public_key=967f0f1e579e75fc4dde407b187384db0e6d80ec",
        "actionPlatform": [
          "http://schema.org/DesktopWebPlatform",
          "http://schema.org/MobileWebPlatform"
        ]
      },
      "result": {
        "@type": "Reservation",
        "name": "Reservation"
      }
    }
  ]
}
</script>
```

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

```
# LOLITA

> food establishment (mexican) in 45 W 45th St, 10036, New York, New York. Phone +12123890050.

## Book or order directly

- Book: https://api.tripleseat.com/v1/leads/ts_script.js?lead_form_id=34363&public_key=967f0f1e579e75fc4dde407b187384db0e6d80ec (through tripleseat acting for the business)
- Menu: https://www.lolitanewyorkcity.com/menus/

## About

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

## Already right
- **robots.txt lets AI crawlers in.** No rule blocks the main AI user agents.
- **AI crawlers get the page.** GPTBot, ClaudeBot and PerplexityBot all got a normal response.
- **Structured data found (FoodEstablishment).** address, phone
- **Menu or price list is an HTML page.** Agents can read the items and prices.
- **Booking through tripleseat on your own domain.** There's no marketplace commission, and the customer stays yours.

## Where it stands
Not ranked yet in New York.

| What the top 10% of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 100% | yes |
| Publish the menu or price list as HTML | 95% | yes |
| Let AI crawlers in (no block at the server or in robots.txt) | 96% | yes |
| Structured data with address, phone and hours | 59% | no |
| Have an llms.txt | 25% | no |

Nearest places with a similar menu: Amor Loco (C, 297 m, https://directindex.org/r/amorloconyc.com); Bar Mexicana (A, 309 m, https://directindex.org/r/barmexicananyc.com); Puya - Tacos de Puebla (C, 361 m, https://directindex.org/r/puyatacos.com); Miss Yolo's Tacos (A, 440 m, https://directindex.org/r/missyolostacos.com); El Rey Tacos (C, 451 m, https://directindex.org/r/tacoelrey.com); Oxido (C, 469 m, https://directindex.org/r/oxido.nyc); Baja Fresh Mexican Grill (B, 490 m, https://directindex.org/r/bajafresh.com); Tortazo - Times Square (A, 526 m, https://directindex.org/r/tortazo.com); Moe's Southwest Grill (F, 561 m, https://directindex.org/r/moes.com); New York Birria (F, 600 m, https://directindex.org/r/ordernewyorkbirria2.com).

## What assistants answer
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 13 everyday questions about New York and named 69 places. LOLITA wasn't one of them. See who was named: https://directindex.org/city/new-york/recommended


Compared with its peers: Sites built with BentoBox 80% (86% A or B, 2383 sites); Sites using Tripleseat 77% (72% A or B, 630 sites); This site 87.7%.

See what an AI agent reads on this site: https://directindex.org/r/lolitanewyorkcity.com/agent-view

## Businesses like LOLITA in New York

| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Sites built with BentoBox in New York | 539 | 83% | 88% | 87.7% |
| Sites using Tripleseat in New York | 57 | 83% | 82% | 87.7% |
| Sites built with BentoBox and using Tripleseat in New York | 13 | 89% | 100% | 87.7% |

The best of the sites built with BentoBox and using Tripleseat in New York: Havana Central (A 95.4%, https://directindex.org/r/havanacentral.com); Marlow East (A 95.4%, https://directindex.org/r/marloweast.com); Portale (A 95.4%, https://directindex.org/r/portalerestaurant.com); Quality Bistro (A 95.4%, https://directindex.org/r/qualitybistro.com); Pig Beach BBQ (A 90.8%, https://directindex.org/r/pigbeachnyc.com).

## The direct record
What agents get for LOLITA, as JSON: https://directindex.org/api/direct/lolitanewyorkcity.com
- Book: https://api.tripleseat.com/v1/leads/ts_script.js?lead_form_id=34363&public_key=967f0f1e579e75fc4dde407b187384db0e6d80ec (vendor on own site: Tripleseat; found by the scan of 2026-10-23, not yet tested)
- Order: none on record
- Menu: https://www.lolitanewyorkcity.com/menus/ (html_page; from the scan)
- Hours: none on record
- Phone: +12123890050
- Stable links that count: https://directindex.org/go/lolitanewyorkcity.com/book, https://directindex.org/go/lolitanewyorkcity.com/menu

## Can an agent transact?
Measured, not scored (the score stays at spec v1.0).
- 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
- Vendor terms for agents, Tripleseat: Not stated. The terms do not address an agent acting for a person (several bar scraping or data extraction only), could not be read on the date given, or the vendor has not been researched yet.

Found one hop past the home page: contact page /private-event-inquiry/: booking via tripleseat; menu page /menus/: menu schema.

## Score breakdown
| Component | Points | Available |
|---|---|---|
| Reachable | 25 | 25 |
| Readable | 22 | 25 |
| Actionable | 10 | 15 (the action test: pending) |
| Cited | 0 | 0 (the assistant citation check: pending) |

## Agent readiness (Cloudflare)
Level 1 of 5, Basic Web Presence. Cloudflare's report: https://isitagentready.com/lolitanewyorkcity.com
- Link headers on the homepage: no (how: https://isitagentready.com/.well-known/agent-skills/link-headers/SKILL.md)
- sitemap.xml: yes
- AI bot rules in robots.txt: no (how: https://isitagentready.com/.well-known/agent-skills/ai-rules/SKILL.md)
- Content Signals in robots.txt: no (how: https://isitagentready.com/.well-known/agent-skills/content-signals/SKILL.md)
- Markdown on Accept: text/markdown: no (how: https://isitagentready.com/.well-known/agent-skills/markdown-negotiation/SKILL.md)
- llms.txt: no (how: https://isitagentready.com/.well-known/agent-skills/llms-txt/SKILL.md)
- API catalog (RFC 9727): no (how: https://isitagentready.com/.well-known/agent-skills/api-catalog/SKILL.md)
- MCP server card: no (how: https://isitagentready.com/.well-known/agent-skills/mcp-server-card/SKILL.md)
- A2A agent card: no (how: https://isitagentready.com/.well-known/agent-skills/a2a-agent-card/SKILL.md)
- Agent Skills index: no (how: https://isitagentready.com/.well-known/agent-skills/agent-skills/SKILL.md)
- OAuth or OIDC discovery: no (how: https://isitagentready.com/.well-known/agent-skills/oauth-discovery/SKILL.md)
- OAuth protected resource metadata: no (how: https://isitagentready.com/.well-known/agent-skills/oauth-protected-resource/SKILL.md)
- auth.md: no (how: https://isitagentready.com/.well-known/agent-skills/auth-md/SKILL.md)
- Web Bot Auth key directory: no (how: https://isitagentready.com/.well-known/agent-skills/web-bot-auth/SKILL.md)
- ARD capability manifest: no (how: https://isitagentready.com/.well-known/agent-skills/ard/SKILL.md)
- DNS-AID records: no (how: https://isitagentready.com/.well-known/agent-skills/dns-aid/SKILL.md)
- WebMCP tools on the page: no (how: https://isitagentready.com/.well-known/agent-skills/webmcp/SKILL.md)
- JSON-LD for the business: yes

Keep watching this business (https://directindex.org/r/lolitanewyorkcity.com/plan): the assistants are asked again every month, and you see what changed. 2 EUR a month or 19 EUR a year.
Deep report: https://directindex.org/r/lolitanewyorkcity.com/deep. Ten questions phrased the way people ask them, each assistant's full answer, the eight nearest similar places, the fix plan and a PDF. 5 EUR, paid once. Reading and scanning stay free. These few euros pay for the questions sent to the assistants and for the servers.
Methodology: https://directindex.org/methodology · Rescan now: https://directindex.org/scan?url=lolitanewyorkcity.com&force=1
