Abeja Negra
abejanegraburgers.com is mostly ready for agents.
Listed by Overture Maps.
Ways to reach Abeja Negra directly, with no marketplace in between. Checked 2026-10-22. Report a mistake
Chichen Itza 117-Loc B, LT Chinen, 03650, Benito Juárez · +525618216808
Languages: German, English, Spanish, French, Japanese, Korean, Dutch, Chinese · WhatsApp: a link on the site
Places near Abeja Negra that take a booking or an order on their own website, with no marketplace in between.
- Hamburguesas al Carbón480 m · burger
The website's grade
An AI assistant can open Abeja Negra'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.
46 of 65 points available
agent-readiness level, Not Ready
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.
What the site tells visitors Measured, not scored
These don't change the grade.
Visitors and assistants may read that year as the last time anyone looked after the site.
Every city compared →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 Mexico City and named 92 places. Abeja Negra wasn't one of them. See who was named →
How Abeja Negra compares
323 of 1,909 in Mexico City
Top 17% of the sites scanned in this index. Just above: Cegos América Latina - México B, Porco Rosso B. Just below: Barilochecdmx B, Barrio de Quilmes Ajijic B.
| What the top 10% of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 94% | no |
| Publish the menu or price list as HTML | 81% | no |
| Let AI crawlers in (no block at the server or in robots.txt) | 93% | yes |
| Structured data with address, phone and hours | 27% | yes |
| Have an llms.txt | 39% | no |
The top 10% are the 193 highest-scoring reachable sites in the index at the last update.
Compared with its peers
| Average score | A or B | This site | |
|---|---|---|---|
| Sites using Uber Eats 1,718 sites | 62% | 33% | 70.8% |
Nearest places with a similar menu
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Hamburguesas al Carbón burger | 481 m | C | yes |
| Yago's Grill burger | 1.8 km | B | no |
| Hamburguesas HM Narvarte burger | 1.8 km | D | no |
| Happy Food del Valle burger | 1.8 km | F | no |
| Los Villa Grills Burgers burger | 2.0 km | C | no |
| Ruben's Hamburgers Insurgentes burger | 2.0 km | B | no |
| Open House Burgers burger | 2.3 km | F | no |
| MicheBurgers burger | 2.6 km | F | no |
| Hamburguesas Las Mamis burger | 3.4 km | F | no |
| Magic Prime burger | 3.7 km | C | no |
Businesses like Abeja Negra in Mexico City
| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Businesses of the same kind in Mexico City | 1,909 | 45% | 18% | 70.8% |
| Sites using Uber Eats in Mexico City | 55 | 56% | 18% | 70.8% |
The best of the sites using Uber Eats in Mexico City
Guria A 93.8% · Mora Mora Market Roma Norte B 75.8% · Chazz San Jeronimo B 73.8% · De Costa a Costa (Plaza Loreto) B 73.8% · Yoru Handroll and Sushi Bar B 73.8%
After the top fixes
With the two fixes above (Ordering only through ubereats; No menu or price list found), the score would be about 100%, which would be first of 1,909 in Mexico City.
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.
What to fix first
- 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. How to fix it About this vendor
- 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
- 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
No one is listed yet to fix this in Mexico City. List your agency or yourself. It's free, and every listing is reviewed by hand.
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 (Restaurant) address, phone, opening hours
- 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.
Builder: unknown
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
llms.txt
Save as /llms.txt at the root of the site. Guide.
# Abeja Negra > restaurant (burger) in Chichen Itza 117-Loc B, LT Chinen, 03650, Benito Juárez, Mexico City. Phone +525618216808. ## About - Website: http://AbejaNegraBurgers.com/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
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.
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.
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
What agents get for Abeja Negra
No direct path on record: the scan of 2026-10-22 found no booking or ordering link on abejanegraburgers.com or on a vendor's site. The same record is served as JSON at /api/direct/abejanegraburgers.com, through the MCP tool direct_record and in the city feed /city/mexico-city/direct.json.
| Path | Link | Status |
|---|---|---|
| Book | none on record | |
| Order | none on record | |
| Menu | none on record | |
| Hours | none on record | |
| Phone | +525618216808 |
Owners: claim the business below to correct this record; the claim email carries the link.
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 |
| Vendor terms for agents Uber Eats, read 2026-10-15 | 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. Source. About Uber Eats · all vendors.
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 homepage | no how |
| sitemap.xml | no how |
| AI bot rules in robots.txt | yes |
| 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 |