# La Taconeta: Agent-Direct Score D (43.1%)

Site: https://lataconeta.com/
Report: https://directindex.org/r/lataconeta.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.)
La Taconeta is hard for agents to use.
An AI assistant can open La Taconeta's website. It can't find a menu or price list, so it answers from other sites. To book or order, it is sent to Uber Eats, a marketplace.

## Direct links
- Phone: +13473149302
- Address: 2101 Broadway, 10023, New York
- Prices: 25 prices on the site, the middle one $12.00
- WhatsApp: a link on the site

## Nearby, also direct
Places near La Taconeta that take a booking or an order on their own website, with no marketplace in between.
- Santa Fe (430 m): https://directindex.org/r/santafe71.com
- El Fish Marisqueria (530 m): https://directindex.org/r/elfish67.com
- El Gallo Taqueria (920 m): https://directindex.org/r/elgallobk.com
- Rosa Mexicano (920 m): https://directindex.org/r/rosamexicano.com
- Mi Nidito Mexican Bar & Grill (1.5 km): https://directindex.org/r/miniditony.com

## What to fix first
- **No structured data for the business.** (+15 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). Every assistant reads this block first, and the fix kit below has it filled in. Guide: https://directindex.org/guides/structured-data-restaurant
- **Ordering only through ubereats.** (+12 points) Every transaction an agent makes goes through the marketplace, which takes its commission. Add a direct way on your own site. Even a simple form will do. Guide: https://directindex.org/guides/online-ordering-without-delivery-apps
- **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. Guide: https://directindex.org/guides/menu-pdf-ai
- **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)
- **25 prices on the landing page, the middle one $12.00.** 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": "LocalBusiness",
  "name": "La Taconeta",
  "url": "https://lataconeta.com/",
  "telephone": "+13473149302",
  "address": "2101 Broadway, 10023, New York",
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 40.77975108,
    "longitude": -73.98197014
  }
}
</script>
```

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

```
# La Taconeta

> local business (mexican) in 2101 Broadway, 10023, New York, New York. Phone +13473149302.

## About

- Website: https://lataconeta.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.** There's no robots.txt, which means everything is allowed.
- **AI crawlers get the page.** GPTBot, ClaudeBot and PerplexityBot all got a normal response.
- **Uber Eats works with agents through its partners.** Uber's US terms of use (12 October 2026) bar scripts that burden the services and any use to build software or train AI; its Claude and ChatGPT integrations only browse menus, with checkout in the Uber Eats app. Terms read on 2026-10-15: https://www.uber.com/legal/en/document/?name=general-terms-of-use&country=united-states&lang=en. An assistant that isn't a partner may not be able to finish there. A direct path on your own domain works for all of them.

## Where it stands
6866 of 11000 in New York. Top 62% of the sites scanned in this index.

| What the top 10% 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 | 95% | no |
| 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: Santa Fe (B, 427 m, https://directindex.org/r/santafe71.com); El Mitote (B, 460 m, https://directindex.org/r/elmitoteny.com); Covacha (C, 486 m, https://directindex.org/r/covachany.com); El Fish Marisqueria (B, 525 m, https://directindex.org/r/elfish67.com); El Gallo Taqueria (A, 915 m, https://directindex.org/r/elgallobk.com); Rosa Mexicano (A, 922 m, https://directindex.org/r/rosamexicano.com); Nina's Great Burrito Bar (D, 1046 m, https://directindex.org/r/ninasgreatburritobar.com); Burrito Box (C, 1314 m, https://directindex.org/r/elburritobox.com); Mi Nidito Mexican Bar & Grill (A, 1515 m, https://directindex.org/r/miniditony.com); Mamasita Bar and Grill/Mexican Fast Food (A, 1518 m, https://directindex.org/r/mamasitanyc.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. La Taconeta wasn't one of them. See who was named: https://directindex.org/city/new-york/recommended


Compared with its peers: Sites using Uber Eats 61% (32% A or B, 2269 sites); This site 43.1%.

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

## Businesses like La Taconeta in New York

| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Businesses of the same kind in New York | 11000 | 52% | 34% | 43.1% |
| Sites using Uber Eats in New York | 97 | 66% | 42% | 43.1% |

The best of the sites using Uber Eats in New York: Casa Tevere (A 100%, https://directindex.org/r/casatevere.com); Joseph's Ristorante (A 100%, https://directindex.org/r/josephsnyc.com); Mera Restaurant (A 100%, https://directindex.org/r/mera.nyc); Bar Italia (A 95.4%, https://directindex.org/r/baritaliamadison.com); Neo Restaurant (A 95.4%, https://directindex.org/r/neo-ny.com).

With the three fixes above (No structured data for the business; Ordering only through ubereats; No menu or price list found), the score would be about 95.4%. That would be 336th of 11,000 in New York, up from 6866th.

## The direct record
What agents get for La Taconeta, as JSON: https://directindex.org/api/direct/lataconeta.com
- Book: none on record
- Order: none on record
- Menu: none on record
- Hours: none on record
- Phone: +13473149302

## 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, Uber Eats: Through partners. Uber's US terms of use (12 October 2026) bar scripts that burden the services and any use to build software or train AI; its Claude and ChatGPT integrations only browse menus, with checkout in the Uber Eats app. Read 2026-10-15: https://www.uber.com/legal/en/document/?name=general-terms-of-use&country=united-states&lang=en

## Score breakdown
| Component | Points | Available |
|---|---|---|
| Reachable | 25 | 25 |
| Readable | 0 | 25 |
| Actionable | 3 | 15 (the action test: pending) |
| Cited | 0 | 0 (the assistant citation check: pending) |

## Agent readiness (Cloudflare)
Level 0 of 5, Not Ready. Cloudflare's report: https://isitagentready.com/lataconeta.com
- Link headers on the homepage: no (how: https://isitagentready.com/.well-known/agent-skills/link-headers/SKILL.md)
- sitemap.xml: no (how: https://isitagentready.com/.well-known/agent-skills/sitemap/SKILL.md)
- 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: no

Keep watching this business (https://directindex.org/r/lataconeta.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/lataconeta.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=lataconeta.com&force=1
