The Direct Index
Report · san francisco cafes bars · scanned 2026-10-14

Kozy Kar

kozykar.com is largely invisible to agents.

See what an AI agent reads on this site →

F
38.5%

25 of 65 points available

0/5

agent-readiness level, Not Ready

4

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.

Findings

What to fix first

  1. No structured data for the business +15 points

    Add schema.org JSON-LD for the business (CafeOrCoffeeShop, BarOrPub or the closest type, with name, address, telephone and openingHoursSpecification, plus servesCuisine). It is the one block every assistant reads first; the fix kit below has it filled in. How to fix it

  2. No booking or ordering path at all +15 points

    Agents have nothing to act on. Add a booking or ordering page on your own domain. How to fix it

  3. 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

  4. 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 cafes and bars. List your agency or yourself: free, reviewed by hand.

Already right

Builder: unknown · Front: cloudflare

Fix kit

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; add priceRange if you like. Guide.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "BarOrPub",
  "name": "Kozy Kar",
  "url": "http://kozykar.com/",
  "telephone": "+1 415 3465699",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "Polk Street 1548",
    "addressLocality": "San Francisco"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 37.791365,
    "longitude": -122.4207198
  },
  "openingHours": "Th-Sa 19:00-26:00",
  "openingHoursSpecification": [
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [
        "Thursday",
        "Friday",
        "Saturday"
      ],
      "opens": "19:00",
      "closes": "26:00"
    }
  ]
}
</script>

llms.txt

Save as /llms.txt at the root of the site. Guide.

# Kozy Kar

> bar or pub in Polk Street 1548 San Francisco, San Francisco cafes and bars. Phone +1 415 3465699.

## Opening hours

Th-Sa 19:00-26:00

## About

- Website: http://kozykar.com/
- This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
Where it stands

309 of 516 in San Francisco cafes and bars

Top 60% of the sites scanned in this index. Just above: Ha-Ra F, Indie Darling F. Just below: Little Hill Lounge F, Madrone Art Bar F.

What the top tenth of the index doesTop 10%This site
Take bookings or orders on their own domain98%no
Publish the menu or price list as HTML81%no
Let AI crawlers in (no edge block, no robots.txt block)100%yes
Structured data with address, phone and hours23%no
Have an llms.txt13%no

The top tenth is the 52 best-scoring reachable sites of the index at the last refresh.

Nearest places in the index

PlaceDistanceGradeDirect booking or ordering
ZHUZH95 mFno
Souvenir Coffee coffee_shop134 mCyes
Hi-Lo Club157 mAyes
The Crepe House207 mCyes
El Lopo255 mAyes
Wreck Room311 mFno
Liquid Gold322 mCno
R Bar393 mFno
Zeki's Bar400 mByes
Le Marais Bakery Market Cafe400 mByes
Agent readiness

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.

Link headers on the homepageno how
sitemap.xmlyes
AI bot rules in robots.txtno how
Content Signals in robots.txtno how
Markdown on Accept: text/markdownno how
llms.txtno how
API catalog (RFC 9727)no how
MCP server cardno how
A2A agent cardno how
Agent Skills indexno how
OAuth or OIDC discoveryno how
OAuth protected resource metadatano how
auth.mdno how
Web Bot Auth key directoryno how
ARD capability manifestno how
DNS-AID recordsno how
WebMCP tools on the pageno how
JSON-LD for the businessno
Assistants

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.

Badge

Show the score

Owners who score well embed the badge; it links back here and updates with every scan.

Agent-Direct Score F

<a href="https://directindex.org/r/kozykar.com"><img src="https://directindex.org/badge/kozykar.com.svg" alt="Agent-Direct Score F" width="236" height="40"></a>
Owners

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.

Rescan now Markdown

Send the fixes to your web person
One email, the fixes and the link; nothing stored.