The Direct Index
Report · San Francisco · scanned 2026-10-24

Lazy Bear

lazybearsf.com is mostly ready for agents.

Listed by OpenStreetMap · Overture Maps.

BookCallWebsite

Ways to reach Lazy Bear directly, with no marketplace in between. Checked 2026-10-24. On the business's own site. Report a mistake

19th Street 3416 · 2127489156

Nearby, also direct

Places near Lazy Bear that take a booking or an order on their own website, with no marketplace in between.

Owners

The website's grade

An AI assistant can open Lazy Bear's website. It can't find a menu or price list, so it answers from other sites. It finds a way to book or order directly on the site.

80%

52 of 65 points available

1/5

agent-readiness level, Basic Web Presence

3

things to fix

Provisional, with the action test and the assistant citation check still to come. The hatched part of the bar isn't measured yet.

See what an AI agent reads on this site →

Named by assistants

Named by ChatGPT for "A special tasting menu for our anniversary next month. Book us in" in San Francisco, October 2026

Each assistant was asked the way people ask, with web search on, for up to three places in San Francisco and a link to each one's own site. This business was named in one answer, by 1 of the 2 assistants asked.

QuestionNamed byAsked
A special tasting menu for our anniversary next month. Book us in.ChatGPT with a link to this site2026-10-18

Every place named in San Francisco, question by question.

Show it

The badge shows how many of the assistants asked named this business, and the month. It updates after every round.

Named by 1 of 2 assistants, Direct Index

<a href="https://directindex.org/r/lazybearsf.com"><img src="https://directindex.org/badge/named/lazybearsf.com.svg" alt="Named by 1 of 2 assistants, Direct Index" width="300" height="40"></a>
Assistants

What assistants answer

Each assistant gets three questions about this business: the official website, where to book and where to order. Each cell shows where the answer sent people.

The assistants haven't been asked about this business yet. They're asked about the top-ranked businesses in each city index, and about any business as soon as it's claimed. Claim this page to be included.

Recommended when people ask:
“A special tasting menu for our anniversary next month. Book us in.” (ChatGPT, with a link to this site)

Where it stands

How Lazy Bear compares

Where it stands

412 of 2,332 in San Francisco

Top 18% of the sites scanned in this index. Just above: Java City B, La Mediterranée B. Just below: Naked Lunch B, Omakase B.

What the top 10% of the index doesTop 10%This site
Take bookings or orders on their own domain100%yes
Publish the menu or price list as HTML89%no
Let AI crawlers in (no block at the server or in robots.txt)96%yes
Structured data with address, phone and hours55%no
Have an llms.txt25%no

The top 10% are the 236 highest-scoring reachable sites in the index at the last update.

Compared with its peers

Average scoreA or BThis site
Sites built with BentoBox 2,256 sites80%86%80%

Nearest places with a similar menu

PlaceDistanceGradeDirect booking or ordering
Commonwealth american120 mFno
Range american189 mCyes
Good Good Culture Club hawaiian, asian, american321 mByes
Maverick american346 mFno
Motze american362 mFno
Foreign Cinema american437 mByes
Osito american806 mDno
Red Cafe american1.1 kmDno
Woodward's Garden american1.1 kmFno
Son’s Addition american1.1 kmByes
Businesses like yours

Businesses like Lazy Bear in San Francisco

GroupSitesAvg scoreA or BThis site
Businesses of the same kind in San Francisco2,33249%32%80%
Sites built with BentoBox in San Francisco8984%92%80%

The best of the sites built with BentoBox in San Francisco

Asian Box A 100% · Gott's SF Ferry Building A 100% · Roam Artisan Burgers A 100% · Gott's Roadside A 96.3% · Grand Lake Kitchen A 96.3%

After the top fixes

With the two fixes above (No menu or price list found; Structured data is incomplete), the score would be about 95.4%. That would be 40th of 2,332 in San Francisco, up from 412th.

Peers are the businesses in the same index that have a reachable site, using the latest scan of each. The rank comes from the index's current ranking.

Findings

What to fix first

  1. No menu or price list found +7 points

    Agents answer 'what do they offer?' from marketplaces instead. Add a page with the menu or price list and link to it from the homepage. How to fix it

  2. Structured data is incomplete +3 points

    Missing: opening hours. How to fix it

  3. No llms.txt no points, but worth doing

    Optional for now and cheap to add. It's a short text file that describes the business for language models. How to fix it

Send the fixes to your web person

One email with the fixes and the link. Nothing is stored.

No one is listed yet to fix this in San Francisco. List your agency or yourself. It's free, and every listing is reviewed by hand.

Already right

  • robots.txt lets AI crawlers in No rule blocks the main AI user agents.
  • AI crawlers get the page GPTBot, ClaudeBot and PerplexityBot all got a normal response.
  • Structured data found (FoodEstablishment) address, phone
  • Booking on your own site Agents can book without going through a marketplace.

Builder: bentobox · contact page /contact-info/: phone; booking page /tickets/: booking via tock

Fix kit

What to paste

Filled in from the business's own record and this scan. Check every line before it goes live. The guides show where it goes on bentobox.

Show the code to paste

Structured data (JSON-LD)

Paste it as one block in the page's head, or in the builder's custom code box. Change anything that's wrong. Guide.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Restaurant",
  "name": "Lazy Bear",
  "url": "http://www.lazybearsf.com/",
  "telephone": "2127489156",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "19th Street 3416"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 37.7603171,
    "longitude": -122.4197672
  },
  "servesCuisine": [
    "american"
  ],
  "acceptsReservations": "https://www.lazybearsf.com/tickets/",
  "potentialAction": [
    {
      "@type": "ReserveAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://www.lazybearsf.com/tickets/",
        "actionPlatform": [
          "http://schema.org/DesktopWebPlatform",
          "http://schema.org/MobileWebPlatform"
        ]
      },
      "result": {
        "@type": "Reservation",
        "name": "Reservation"
      }
    }
  ]
}
</script>

llms.txt

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

# Lazy Bear

> restaurant (american) in 19th Street 3416, San Francisco. Phone 2127489156.

## Book or order directly

- Book: https://www.lazybearsf.com/tickets/ (on the business's own site)

## About

- Website: http://www.lazybearsf.com/
- This file follows llms.txt (https://llmstxt.org): a short plain-text description for language models.
Owners

Own this business?

If you fixed something or think a check is wrong, rescan. Rescans are free. Claiming takes one email to confirm. After that, the three assistants are asked about the business right away and the site is rescanned every week. You get a message only when the score changes.

· Markdown · Dispute a check

Keep watching this business: the assistants are asked again every month, and you see what changed. 2 EUR a month or 19 EUR a year. Deep report: ten questions to each assistant, plus the places nearby. 5 EUR, paid once. Reading and scanning stay free. These few euros pay for the questions sent to the assistants and for the servers.

Show the score

Owners who score well put the badge on their site. It links back here and updates with every scan.

Agent-Direct Score B

<a href="https://directindex.org/r/lazybearsf.com"><img src="https://directindex.org/badge/lazybearsf.com.svg" alt="Agent-Direct Score B" width="236" height="40"></a>
For developers and agents

What agents get, and what the site publishes

The direct record agents get for this business, the rails an agent could transact through, and the agent standards the site publishes.

Show the details
The direct record

What agents get for Lazy Bear

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/lazybearsf.com, through the MCP tool direct_record and in the city feed /city/san-francisco/direct.json.

PathLinkStatus
Bookwww.lazybearsf.com/tickets/ own sitefound by the scan of 2026-10-24, not yet tested
Ordernone on record
Menunone on record
Hoursnone on record
Phone2127489156

Stable links that count: /go/lazybearsf.com/book 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.

Transactable

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

Found one hop past the home page: contact page /contact-info/: phone; booking page /tickets/: booking via tock.

Agent readiness

Level 1 of 5, Basic Web Presence

These are the standards an agent looks for before it reads a page, checked the same way as Cloudflare's Agent Readiness scan. They don't count toward the score. Each missing item links to a how-to. Cloudflare's report.

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 businessyes