Mo-Mo Paradise

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 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 Boston. 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.
• 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: 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": "Mo-Mo Paradise",
  "url": "https://www.momomasalausa.com",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "Perkins Street 2",
    "postalCode": "02130"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 42.3217903,
    "longitude": -71.1104649
  },
  "servesCuisine": [
    "japanese",
    "hotpot"
  ],
  "hasMenu": "https://www.momomasalausa.com/CateringMenu/CateringMenuPage",
  "potentialAction": [
    {
      "@type": "OrderAction",
      "target": {
        "@type": "EntryPoint",
        "urlTemplate": "https://www.momomasalausa.com/menu/menupage",
        "actionPlatform": [
          "http://schema.org/DesktopWebPlatform",
          "http://schema.org/MobileWebPlatform"
        ]
      }
    }
  ]
}
</script>

llms.txt Copy

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

# Mo-Mo Paradise

> restaurant (japanese, hotpot) in Perkins Street 2 02130, Boston.

## Book or order directly

- Order: https://www.momomasalausa.com/menu/menupage (on the business's own site)
- Menu: https://www.momomasalausa.com/CateringMenu/CateringMenuPage

## About

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

319 of 924 in Boston

Top 35% of the sites scanned in this index. Just above: Meet Fresh B, Mo-Mo Paradise B. Just below: Moogys B, Nick's Place B.

The top tenth is the 93 best-scoring reachable sites of the index at the last refresh.

Nearest places with a similar menu

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