MakeMyTrip, India’s leading online travel platform, has introduced Semantic Search, an AI-powered feature designed to simplify the discovery of hotels and homestays. The feature allows travellers to type queries in everyday language, such as “pet-friendly hotels in Manali with a swimming pool” or “heritage stays near Jaipur forts with parking,” eliminating the need to manually navigate through multiple filters.

Built on the same AI framework as MakeMyTrip’s GenAI-enabled assistant, Myra, the Semantic Search system interprets open-ended queries to provide relevant, context-driven results tailored to individual preferences. Users receive personalized recommendations enhanced by property visuals, curated user-generated content, and context-based rankings.

The system also includes AI smart suggestions, offering recommendations like “beachfront hotels in Goa” or “Ooty stays with mountain views,” complete with context tags such as “great for families” or “private pools available.” This ensures faster, simpler, and more intuitive discovery for travellers seeking the perfect stay.

“Our goal is to make travel planning as natural as conversation. With AI Search within the stay booking experience, we’re simplifying one of the most important parts of the traveller journey, finding the right stay. Instead of forcing users to think like a system, we’ve built a system that understands how people naturally express themselves,” said Ankit Khanna, Chief Product Officer, MakeMyTrip.

This development builds on MakeMyTrip’s broader AI innovation strategy. Earlier this year, the company launched the Beta version of its GenAI Trip Planning Assistant, Myra, which supports travellers across the journey, from discovery and booking to in-trip and post-travel assistance. Currently available in English and Hindi, Myra also plans to expand into additional Indian languages based on user feedback.

With Semantic Search, MakeMyTrip aims to deliver a more natural, personalised, and efficient experience for travellers, taking the frustration out of finding the ideal stay and setting a new benchmark for AI-driven travel planning in India.