beerstop.com.mx is hard for agents to use.
Menu: www.beerstop.com.mx/collections.html
See what an AI agent reads on this site →
35 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.
Add schema.org JSON-LD for the business (Restaurant, LocalBusiness or the closest type, with name, address, telephone and openingHoursSpecification, plus servesCuisine and acceptsReservations). It is the one block every assistant reads first; the fix kit below has it filled in. How to fix it
Only a phone number or WhatsApp. Agents cannot act on those yet. Add a booking or ordering page. How to fix it
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 Mexico City. List your agency or yourself: free, reviewed by hand.
Builder: shopify · Front: cloudflare
Filled from the business's own record and this scan. Check every line before it goes live; where it goes on shopify is in the guides.
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": "Restaurant",
"name": "Beer Stop",
"url": "https://www.beerstop.com.mx/",
"telephone": "+52 55 5525 4129",
"address": {
"@type": "PostalAddress",
"streetAddress": "Calle Río Lerma 199",
"addressLocality": "Ciudad de México"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 19.4277437,
"longitude": -99.1707504
},
"openingHours": "Mo-We 13:00-23:00; Th-Sa 13:00-02:00; Su 12:00-20:00",
"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Monday",
"Tuesday",
"Wednesday"
],
"opens": "13:00",
"closes": "23:00"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Thursday",
"Friday",
"Saturday"
],
"opens": "13:00",
"closes": "02:00"
},
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [
"Sunday"
],
"opens": "12:00",
"closes": "20:00"
}
],
"servesCuisine": [
"steak house",
"burger",
"american"
],
"hasMenu": "https://www.beerstop.com.mx/collections.html"
}
</script>
Save as /llms.txt at the root of the site. Guide.
# Beer Stop > restaurant (steak house, burger, american) in Calle Río Lerma 199 Ciudad de México, Mexico City. Phone +52 55 5525 4129. ## Book or order directly - Menu: https://www.beerstop.com.mx/collections.html ## Opening hours Mo-We 13:00-23:00; Th-Sa 13:00-02:00; Su 12:00-20:00 ## About - Website: https://www.beerstop.com.mx/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
Top 30% of the sites scanned in this index. Just above: Terraza Gran Hotel D, Asian Bay D. Just below: Cluny D, Dr. Pizza D.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 90% | no |
| Publish the menu or price list as HTML | 80% | yes |
| Let AI crawlers in (no edge block, no robots.txt block) | 90% | yes |
| Structured data with address, phone and hours | 7% | no |
| Have an llms.txt | 20% | no |
The top tenth is the 30 best-scoring reachable sites of the index at the last refresh.
| Average score | A or B | This site | |
|---|---|---|---|
| Sites built with Shopify 1,336 sites | 61% | 36% | 53.8% |
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Porco Rosso american | 439 m | B | no |
| Asados Don Abel mexican, steak_house | 592 m | C | yes |
| Hamburguesas HM (Polanco) burger, salad | 1.4 km | D | no |
| Taco Game pizza, burger, tacos, salad | 2.2 km | D | no |
| Centanni Ristorante Vivo Polanco pizza, italian, pasta, steak_house | 2.8 km | F | no |
| Ahumados Pelicano american | 3.0 km | C | no |
| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Same kind in Mexico City | 292 | 35% | 12% | 53.8% |
| Built with Shopify in Mexico City | 5 | 55% | 0% | 53.8% |
Veggicano C 69.2% · Ahumados Pelicano C 58.5% · Fralugio distribuidor electrónica D 53.8% · Cook Ramen Condesa D 41.5%
With the two fixes above (No structured data for the business; No booking or ordering path at all) the score would be about 95.4%: first of 292 in Mexico City.
Peers are the businesses of the same index with a reachable site, latest scan of each; the rank uses the index's current ranking.
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 | no |
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.
Owners who score well embed the badge; it links back here and updates with every scan.
<a href="https://directindex.org/r/beerstop.com.mx"><img src="https://directindex.org/badge/beerstop.com.mx.svg" alt="Agent-Direct Score D" width="236" height="40"></a>
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.