Monga Fried Chicken
mongacanada.com is partly visible to agents.
Menu: mongacanada.com/menu.html
Score over 2 scans since 2026-10-14: 60% → 60%
See what an AI agent reads on this site →
39 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.
Since the scan of 2026-10-14: no change in the findings.
What to fix first
- No structured data for the business +14 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
- Ordering through an unrecognised third party +9 points
Check that the provider keeps you as the merchant of record. 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 Toronto. 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: unknown · 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 your builder 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": "Monga Fried Chicken",
"url": "https://mongacanada.com/",
"telephone": "+1-647-341-8838",
"address": {
"@type": "PostalAddress",
"streetAddress": "Yonge Street 692"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 43.6676205,
"longitude": -79.3858505
},
"servesCuisine": [
"chicken"
],
"hasMenu": "https://mongacanada.com/menu.html"
}
</script>
llms.txt
Save as /llms.txt at the root of the site. Guide.
# Monga Fried Chicken > restaurant (chicken) in Yonge Street 692, Toronto. Phone +1-647-341-8838. ## Book or order directly - Menu: https://mongacanada.com/menu.html ## About - Website: https://mongacanada.com/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
635 of 1,531 in Toronto
Top 41% of the sites scanned in this index. Just above: Mike's C, Mocha Mocha C. Just below: Mrs. Fields C, Old Avenue Restaurant C.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 97% | no |
| Publish the menu or price list as HTML | 95% | yes |
| Let AI crawlers in (no edge block, no robots.txt block) | 92% | yes |
| Structured data with address, phone and hours | 45% | no |
| Have an llms.txt | 20% | no |
The top tenth is the 155 best-scoring reachable sites of the index at the last refresh.
Nearest places with a similar menu
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Chick-fil-A chicken | 218 m | A | yes |
| Church's Chicken chicken | 416 m | C | yes |
| FLOCK rotisserie + greens chicken | 985 m | B | yes |
| Jollibee burger, chicken | 1.2 km | B | yes |
| Dave's Hot Chicken chicken | 1.2 km | C | yes |
| Alforat arab, chicken, diner, kebab, mediterranean, shawarma | 1.5 km | D | no |
| Tastys Chicken & Donuts chicken, donut | 1.7 km | F | no |
| Chick Queen chicken | 1.9 km | A | yes |
| Cluck Clucks Chicken chicken, american, burger, sandwich | 2.6 km | B | yes |
| bb.q Chicken korean, chicken | 3.2 km | F | no |
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/mongacanada.com"><img src="https://directindex.org/badge/mongacanada.com.svg" alt="Agent-Direct Score C" 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.