Loving Hut

What to fix first

1. No structured data for the business +15 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

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. 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.

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) Copy

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": "Loving Hut",
  "url": "https://www.lovinghut.com/",
  "telephone": "+1 415 731-1957",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "Irving Street 524",
    "postalCode": "94122",
    "addressLocality": "San Francisco",
    "addressCountry": "US"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 37.7642884,
    "longitude": -122.4636172
  },
  "openingHours": "11:00-21:00",
  "openingHoursSpecification": [
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": [],
      "opens": "11:00",
      "closes": "21:00"
    }
  ],
  "servesCuisine": [
    "international",
    "asian"
  ]
}
</script>

llms.txt Copy

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

# Loving Hut

> restaurant (international, asian) in Irving Street 524 94122 San Francisco, San Francisco. Phone +1 415 731-1957.

## Opening hours

11:00-21:00

## About

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

743 of 1,142 in San Francisco

Top 65% of the sites scanned in this index. Just above: Kam Po Kitchen F, Kitchenette F. Just below: Mensho Ramen F, My Father’s Kitchen F.

The top tenth is the 115 best-scoring reachable sites of the index at the last refresh.

Nearest places with a similar menu

Businesses like Loving Hut in San Francisco

The best of Same kind in San Francisco

ABSteak A 100% · La Méditerranée A 100% · Lapisara A 100% · Piatti A 100% · The Pawn Shop A 100%

The climb

With the three fixes above (No structured data for the business; No booking or ordering path at all; No menu or price list found) the score would be about 95.4%: 15th of 1,142 in San Francisco, up from 743rd.

This site appears in 5 cities (5 places on lovinghut.com). Every city it is in →

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 Loving Hut

No direct path on record: the scan of 2026-10-14 found no booking or ordering link on lovinghut.com or on a vendor's site. The same record is served as JSON at /api/direct/lovinghut.com, through the MCP tool direct_record and in the city feed /city/san-francisco/direct.json.

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.

Not measured at this scan; the next scan measures it.

The next scan also reads the contact, menu and booking pages one hop deeper; facts found there can change the score.

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.

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/lovinghut.com"><img src="https://directindex.org/badge/lovinghut.com.svg" alt="Agent-Direct Score F" 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.

Rescan now Markdown

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.