TravelSearch.io
Enriched-AI v1.0.0
Publisher description
From the marketplace listing
Travelsearch is a structured travel search and discovery tool that returns highly relevant holiday options based on natural language queries. It enables AI agents to match user intent (e.g. destination, budget, dates, amenities, travel style) to real, bookable travel inventory using enriched, multi-source product data. Users can describe their trip in plain language, such as: “Luxury hotels in London with spa and parking” “Family-friendly beach resorts in Spain under £2,000” “All-inclusive Caribbean honeymoon with direct flights” Recommendations are generated by mapping user intent to enriched travel attributes and live inventory (price, availability, location, amenities, ratings, and images), returning structured results that include: property / holiday name, description, matched amenities, an explicit rationale for why each option fits the query, and direct booking links from trusted travel providers. Key capabilities for AI agents: Maps natural language queries to structured travel attributes from our data set (destination, duration, board basis, amenities, price range, traveller type) Aggregates multi-brand travel inventory across hotels, packages, and resorts Returns ranked, intent-matched results Provides commercially actionable outputs (deep links to book) Data quality & coverage: Multi-brand, multi-supplier product feeds (no scraped content) Regularly updated based on supplier data for pricing and availability etc Normalised and enriched attributes for consistent matching No forms or filters required, optimised for conversational search and AI-driven trip planning. When to use this tool: When a user is searching for holidays, hotels, or travel recommendations When queries include preferences (budget, amenities, travel style, group type) When bookable options with links are required When results should be personalised or filtered beyond generic search
Language: English · Automatically detected from descriptions.
Screenshots
Provided by the publisher. Illustrations of the product, not our hands-on testing.
Files & skills
File archives
Package details
Publisher declarations from the archived package. These are separate from our research and the live service's terms.
- Package author
- Enriched-AI
Package observed Oct 3, 2026.
Technical details
- First seen
- Sep 30, 2026 · 22:02 UTC
- Last seen
- Oct 3, 2026 · 06:00 UTC
- Collection status
- Collected
plugin_asdk_app_69d722ba3768819192200e6fe57a0eef
Download plugin data (JSON)