La Matrak
lamatrak.com is hard for agents to use.
Menu: lamatrak.com/menu_mtk.php
See what an AI agent reads on this site →
34 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.
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). It is the one block every assistant reads first; the fix kit below has it filled in. How to fix it
- No booking or ordering path at all +13 points
Only a phone number or WhatsApp. Agents cannot act on those yet. Add a booking or ordering page. How to fix it
- No llms.txt no points, still worth doing
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.
Already right
- robots.txt lets AI crawlers in There is no robots.txt, which allows everything.
- AI crawlers get the page GPTBot, ClaudeBot and PerplexityBot all received a normal response.
- Menu or price list is an HTML page Agents can read items and prices directly.
Builder: webflow · Front: cloudflare
What to paste
Filled from the business's own record and this scan. Check every line before it goes live; where it goes on webflow is in the guides.
Structured data (JSON-LD)
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": "La Matrak",
"url": "https://www.lamatrak.com",
"geo": {
"@type": "GeoCoordinates",
"latitude": 19.4364322,
"longitude": -99.1525167
},
"openingHours": "Su-We 08:00-23:00, Th 08:00-24:00, Fr,Sa 08:00-01:30",
"hasMenu": "https://lamatrak.com/menu_mtk.php"
}
</script>
llms.txt
Save as /llms.txt at the root of the site. Guide.
# La Matrak > restaurant in Mexico City. ## Book or order directly - Menu: https://lamatrak.com/menu_mtk.php ## Opening hours Su-We 08:00-23:00, Th 08:00-24:00, Fr,Sa 08:00-01:30 ## About - Website: https://www.lamatrak.com - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
102 of 292 in Mexico City
Top 35% of the sites scanned in this index. Just above: El Rincón Mexica D, KFC D. Just below: Sarde D, Sushi-itto Coyoacán 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.
Against its peers
| Average score | A or B | This site | |
|---|---|---|---|
| Sites built with Webflow 1,854 sites | 57% | 25% | 52.3% |
Nearest places in the index
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Terraza Cha Cha Chá mexican | 37 m | F | no |
| Meson Puerto Chico spanish | 322 m | B | yes |
| La Gloriosa mexican | 363 m | C | yes |
| Xkina Reforma mexican | 509 m | D | no |
| Wok´ando | 554 m | B | yes |
| La Azotea | 634 m | F | no |
| Vegamo MX mexican | 809 m | D | no |
| Dr. Pizza pizza | 854 m | D | no |
| Darosa italian | 962 m | C | no |
| El Asado Argentino argentinian | 1.3 km | C | no |
Businesses like La Matrak in Mexico City
| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Same kind in Mexico City | 292 | 35% | 12% | 52.3% |
| Built with Webflow in Mexico City | 6 | 54% | 17% | 52.3% |
The best of Built with Webflow in Mexico City
The Capital Grille B 72.3% · Fogoncito D 53.8% · El Mayor D 49.2% · Taco Santo D 47.2% · Vegamo MX D 47.2%
The climb
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.
Level 0 of 5, Not Ready
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 |
What assistants answer
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.
Show the score
Owners who score well embed the badge; it links back here and updates with every scan.
<a href="https://directindex.org/r/lamatrak.com"><img src="https://directindex.org/badge/lamatrak.com.svg" alt="Agent-Direct Score D" width="236" height="40"></a>
Own this business?
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.