papaguapa.com is partly visible to agents.
Order directly: pedidos.papaguapa.com/pedir on the business's own site · Menu: papaguapa.com/nuestro-menu/
See what an AI agent reads on this site →
54 of 80 points available
agent-readiness level, Basic Web Presence
things to fix
Action test, 2026-10-14: partial, a path exists but an agent would struggle. There is a button or a form, but no complete booking or ordering flow an agent can finish on this page.
Provisional: 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
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: wordpress · Front: cloudflare
Filled from the business's own record and this scan. Check every line before it goes live; where it goes on wordpress 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": "Papa Guapa",
"url": "https://papaguapa.com/",
"telephone": "+52 55 520 78052",
"address": {
"@type": "PostalAddress",
"streetAddress": "Calle Orizaba 4B",
"postalCode": "06700",
"addressLocality": "Ciudad de México"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 19.4239015,
"longitude": -99.1610023
},
"openingHours": "Mo-Su 01:00-22:00",
"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": [],
"opens": "01:00",
"closes": "22:00"
}
],
"hasMenu": "https://papaguapa.com/nuestro-menu/",
"potentialAction": [
{
"@type": "OrderAction",
"target": {
"@type": "EntryPoint",
"urlTemplate": "https://pedidos.papaguapa.com/pedir",
"actionPlatform": [
"http://schema.org/DesktopWebPlatform",
"http://schema.org/MobileWebPlatform"
]
}
}
]
}
</script>
Save as /llms.txt at the root of the site. Guide.
# Papa Guapa > restaurant in Calle Orizaba 4B 06700 Ciudad de México, Mexico City. Phone +52 55 520 78052. ## Book or order directly - Order: https://pedidos.papaguapa.com/pedir (on the business's own site) - Menu: https://papaguapa.com/nuestro-menu/ ## Opening hours Mo-Su 01:00-22:00 ## About - Website: https://papaguapa.com/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
Top 16% of the sites scanned in this index. Just above: P.F. Chang's C, Panda Express C. Just below: Papa John's C, Sbarro C.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 90% | yes |
| 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 WordPress 35,830 sites | 57% | 26% | 67.5% |
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Sarde seafood | 136 m | D | no |
| Havre 77 french | 146 m | C | yes |
| Cancino italian | 206 m | C | yes |
| El Mero de la Roma italian | 235 m | D | no |
| As Happy as Larry Juice Bar juice | 294 m | F | no |
| Pulpa Amor Líquido juice | 382 m | B | yes |
| La Guapachosa | 410 m | D | no |
| El Asado Argentino argentinian | 418 m | C | no |
| Goguinara korean | 497 m | D | no |
| Imbiss | 497 m | F | no |
| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Same kind in Mexico City | 292 | 35% | 12% | 67.5% |
| Built with WordPress in Mexico City | 68 | 61% | 28% | 67.5% |
Vecchio Forno A 95% · Tagers A 93.8% · Cambalache A 87.5% · Sonora Grill - Félix Cuevas A 87.5% · Almara B 82.5%
With the fix above (No structured data for the business) the score would be about 86.3%: 7th of 292 in Mexico City, up from 46th.
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 | yes |
| 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 | 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/papaguapa.com"><img src="https://directindex.org/badge/papaguapa.com.svg" alt="Agent-Direct Score C" 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.