Muncheez
muncheezdc.com is ready for agents.
Order directly: www.muncheezdc.com/order-online on the business's own site · Menu: www.muncheezdc.com/menu
See what an AI agent reads on this site →
65 of 65 points available
agent-readiness level, Not Ready
thing 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 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 Washington, DC. 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.
- Structured data present (Restaurant) address, phone, opening hours
- Menu or price list is an HTML page Agents can read items and prices directly.
- Ordering on your own site Agents can order without a marketplace in the loop.
Builder: webflow · Front: cloudflare · contact page /about: nothing new; menu page /menu: nothing new; booking page /order-online: nothing new
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.
llms.txt
Save as /llms.txt at the root of the site. Guide.
# Muncheez > fast food restaurant (lebanese) in Wisconsin 1071 20007 Washington, Washington, DC. Phone +1 202-567-3000. ## Book or order directly - Order: https://www.muncheezdc.com/order-online (on the business's own site) - Menu: https://www.muncheezdc.com/menu ## About - Website: https://muncheezdc.com - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
Not ranked yet in Washington, DC
The ranking refreshes hourly; this site joins it on the next refresh.
Against its peers
| Average score | A or B | This site | |
|---|---|---|---|
| Sites built with Webflow 1,920 sites | 59% | 26% | 100% |
Nearest places with a similar menu
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Villa Yara lebanese | 448 m | B | yes |
| Lebanese Taverna lebanese | 2.4 km | A | yes |
| Me Jana lebanese | 2.7 km | C | yes |
| Zazzy lebanese | 3.3 km | C | yes |
| Shemali's Cafe lebanese | 3.8 km | F | yes |
| ilili lebanese | 4.2 km | A | yes |
Businesses like Muncheez in Washington, DC
| Group | Sites | Avg score | A or B | This site |
|---|---|---|---|---|
| Built with Webflow in Washington, DC | 24 | 73% | 58% | 100% |
The best of Built with Webflow in Washington, DC
Tacombi A 100% · Vera A 100% · Rosemarino D'Italia A 95.4% · Bonchon Chicken A 90% · Pollo Campero A 89.2%
Peers are the businesses of the same index with a reachable site, latest scan of each; the rank uses the index's current ranking.
What agents get for Muncheez
The links an assistant is sent when it books, orders or reads the menu for this business, where each leads, and when a browser last checked it. The same record is served as JSON at /api/direct/muncheezdc.com, through the MCP tool direct_record and in the city feed /city/washington/direct.json.
| Path | Link | Status |
|---|---|---|
| Book | none on record | |
| Order | www.muncheezdc.com/order-online own site | found by the scan of 2026-10-15, not yet tested |
| Menu | www.muncheezdc.com/menu html_page | from the scan |
| Hours | none on record | |
| Phone | +1 202-567-3000 |
Stable links that count: /go/muncheezdc.com/order, /go/muncheezdc.com/menu answer 302 to the links above; the count is the line "followed N direct links" on this page.
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 |
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 | yes |
| 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 | yes |
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/muncheezdc.com"><img src="https://directindex.org/badge/muncheezdc.com.svg" alt="Agent-Direct Score A" 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.