Mezze and Mooore II
mezzeandmooore.com is partly visible to agents.
Order directly: www.mezzeandmooore.com/locations on the business's own site
See what an AI agent reads on this site →
41 of 65 points available
agent-readiness level, Basic Web Presence
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 +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
- No menu or price list found +7 points
Agents answer 'what do they offer' from marketplaces instead. Add a menu or price list page and link it from the homepage. 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 San Francisco. List your agency or yourself: free, reviewed by hand.
Already right
- robots.txt lets AI crawlers in No rule blocks the key AI user agents.
- AI crawlers get the page GPTBot, ClaudeBot and PerplexityBot all received a normal response.
- Ordering on your own site Agents can order without a marketplace in the loop.
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": "Mezze and Mooore II",
"url": "https://www.mezzeandmooore.com/",
"telephone": "4156545089",
"address": {
"@type": "PostalAddress",
"streetAddress": "Irving Street 627",
"postalCode": "94122",
"addressLocality": "San Francisco"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": 37.7639874,
"longitude": -122.464713
},
"servesCuisine": [
"lebanese"
],
"potentialAction": [
{
"@type": "OrderAction",
"target": {
"@type": "EntryPoint",
"urlTemplate": "https://www.mezzeandmooore.com/locations",
"actionPlatform": [
"http://schema.org/DesktopWebPlatform",
"http://schema.org/MobileWebPlatform"
]
}
}
]
}
</script>
llms.txt
Save as /llms.txt at the root of the site. Guide.
# Mezze and Mooore II > restaurant (lebanese) in Irving Street 627 94122 San Francisco, San Francisco. Phone 4156545089. ## Book or order directly - Order: https://www.mezzeandmooore.com/locations (on the business's own site) ## About - Website: https://www.mezzeandmooore.com/ - This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
547 of 1,261 in San Francisco
Top 43% of the sites scanned in this index. Just above: Korean Soul Chicken C, Maillards Smash Burgers C. Just below: Namaste Indian Cuisine C, SSAL C.
| What the top tenth of the index does | Top 10% | This site |
|---|---|---|
| Take bookings or orders on their own domain | 100% | yes |
| Publish the menu or price list as HTML | 94% | no |
| Let AI crawlers in (no edge block, no robots.txt block) | 94% | yes |
| Structured data with address, phone and hours | 50% | no |
| Have an llms.txt | 13% | no |
The top tenth is the 127 best-scoring reachable sites of the index at the last refresh.
Nearest places in the index
| Place | Distance | Grade | Direct booking or ordering |
|---|---|---|---|
| Loving Hut international, asian | 102 m | F | no |
| Lavash persian | 112 m | A | yes |
| Art's Cafe korean, american, breakfast, burger | 115 m | D | no |
| Nabe japanese, nabe, hotpot | 159 m | A | yes |
| Kiki japanese | 176 m | B | yes |
| Inle Burmese Cuisine burmese, thai, asian | 185 m | B | yes |
| Koo japanese | 204 m | D | yes |
| Masala Dosa indian | 208 m | C | yes |
| Underdogs Tres mexican, bar_and_grill, fish, tacos | 212 m | A | yes |
| Perilla vietnamese | 214 m | D | yes |
Level 1 of 5, Basic Web Presence
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 |
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/mezzeandmooore.com"><img src="https://directindex.org/badge/mezzeandmooore.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.