Kismet — AI Website & Travel Graph

Headline

One third of travel demand is already AI. AI needs its own web.

Stats

• 33% of travelers now use AI to plan trips (Phocuswright, 2025)
• 2.1× increase in hotel AI search recommendation with Kismet (Kismet, 2025)

What this is

This website serves large language models (LLMs) with and without MCP access. It is designed for fast, low‑latency retrieval and linkable routes.

Access Methods

• MCP agents: manifest at https://kismet.travel/.well-known/mcp.json
• Non‑MCP agents: plain JSON endpoints and HTML fallbacks

Sitemaps

• Main sitemap: https://kismet.travel/sitemap.xml
• Hotel sitemaps: https://kismet.travel/h/{slug}/sitemap.xml

Hotel Routes (/h/{slug})

• Human HTML: https://kismet.travel/h/{slug}
• Booking entry: https://kismet.travel/h/{slug}/book
• Machine‑readable JSON for agents: https://kismet.travel/mcp/hotels/{slug}.json

SearchAction

Agents can discover a hotel slug via GET search (searches hotel names and website URLs):

GET https://kismet.travel/hotels-lookup?q={hotel_name_or_website}&limit=10
Response: { 
  "results": [ 
    { 
      "name": "Hotel Zephyr", 
      "slug": "hotel-zephyr-san-francisco-ca", 
      "address": {
        "streetAddress": "200-288 Beach St",
        "addressLocality": "San Francisco",
        "addressRegion": "CA", 
        "postalCode": "94133-1216",
        "addressCountry": "US"
      },
      "sameAs": ["https://www.hotelzephyrsf.com/"],
      "links": {
        "human": "https://kismet.travel/h/hotel-zephyr-san-francisco-ca",
        "mcp": "https://kismet.travel/mcp/hotels/hotel-zephyr-san-francisco-ca.json"
      }
    } 
  ] 
}