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
