Most hotel sites work the same way. You pick a city, set a price range, choose a star rating, tick a few amenity boxes, and end up scrolling through 200 listings that all look the same. It works fine when you know exactly where you're going. It breaks the moment you don't.
What if you want "somewhere warm in Europe under $150" but aren't sure which country? What if you're planning a honeymoon and want an overwater bungalow but haven't locked in Maldives vs. Bora Bora? What if you just want a quiet spa hotel, anywhere, and you don't have a city in mind?
Traditional filters can't help with any of that. Travorro's Discover page works differently.
What Semantic Search Actually Does
When you search on the Discover page, the system tries to understand what you mean, not just which words you typed. It picks up on the type of trip ("honeymoon," "family vacation," "solo backpacking"), the experience you want ("relaxing," "adventurous," "cultural"), specific amenities ("pet-friendly," "waterslide," "spa"), and location cues including landmarks rather than just city names.
It returns hotels that match all of it together. Not just hotels in that city, and not just hotels with that amenity in isolation.
How It Handled Real Searches
These are actual examples from testing, not hypotheticals.
"Romantic boutique hotel in Paris"
Returned five hotels, each tagged with traveler persona (Romantic Couple), design style (Chic Parisian Boutique), and a set of descriptors including romantic, intimate, historic, and luxury. The results matched both the location and the trip style in one go, no further filtering needed.
"Honeymoon resort Maldives"
Returned five resorts, all tagged with overwater bungalows, honeymoon destination, romantic, and luxury. It correctly matched the occasion to the expected hotel type without you having to specify "overwater" or "private pool" explicitly.
"Quiet relaxing spa hotel" (no city)
This one is the interesting case. No location was specified, and the system returned spa properties in the UK and Belgium. It understood that the experience was the priority, not the destination, and surfaced results globally that matched the vibe.
"Budget hostel Barcelona"
Returned actual hostels (Wow Hostel, Sun & Moon, etc.) tagged with social, budget-friendly, and city center. It didn't return three-star hotels that were merely affordable, it returned the right category of accommodation.
"Pet-friendly hotel Portland"
Returned hotels explicitly tagged as pet-friendly, with the persona "Urban Explorer with Pet." Properties that don't accept animals didn't show up.
"Hotel near Heathrow airport"
Returned hotels in Hillingdon and West Drayton, which are the actual areas around Heathrow. It understood a geographic landmark rather than a city name, which most hotel searches can't do unless you already know the postcode.
"Family resort with waterslide" (no city)
Returned resorts in Turkey, the US Virgin Islands, and Cyprus, all tagged with waterslide. The specific amenity was matched globally because no location constraint was given.
It's Also Forgiving
Typos don't break it. Searching "boutiqu hotel in Paros" still returns boutique properties on the Greek island. Vague adjectives get interpreted correctly too: "nice hotel" reads "nice" as a quality descriptor, not as a search for hotels in Nice, France. If you add "not Paris" to a query, Paris gets excluded from results.
What Comes Back With Each Result
Each hotel result includes more than just a name and price. You get a traveler persona (who this hotel is designed for), a design style description, a set of tags (usually 14 to 16), a relevance score showing how closely it matches your query, and a short narrative about what makes the property distinct. That metadata lets you scan quickly and decide whether something fits before clicking through.
What It Can't Do
Worth being clear about the limits. Searching "hotel under $100 a night" will surface budget-tagged properties but won't check actual live prices. The system matches intent, not real-time rates. For actual pricing you'll need to enter dates at checkout.
Very short or generic city-only searches, like just typing "Santorini," also work less well than descriptive queries. And availability is only confirmed at the booking stage, not during discovery.
These aren't dealbreakers. Semantic search is designed to sit alongside traditional hotel search, not replace it. The Hotels page still handles direct city searches. Discover handles everything else.
How to Use It
Go to Discover. Type what you want in plain language: the trip, the vibe, the specific thing you need. Describe it the way you'd describe it to a friend. Browse the results, each with persona, tags, and a short description to help you assess fit quickly. Then click through to book with real dates and pricing.
When you book through Travorro you earn rewards on every stay, which knock money off future trips.
Frequently Asked Questions
Does semantic search cost anything extra?
No. It's part of the Discover page and free to use.
Can I still filter results after searching?
Yes. Semantic search gives you the initial set of results and you can explore individual properties from there using standard details like star rating, amenities, and reviews.
Does it work in other languages?
English works best right now. Other languages are hit and miss. We're working on improving that.
What if I just want to search by city?
Use the Hotels page for straightforward city-based search. Discover is an extra option for when you want to search differently.
Does it know current prices?
No. It matches properties to your query, not live rates. Real pricing shows up once you select a hotel and enter your dates.
Head to Discover and search for something you actually want. Describe the trip, the vibe, or the specific thing you need. See what comes back.
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About the Author
This article was written by our team of travorro team, professionals with extensive experience in the travel industry and deep knowledge of booking platforms, security practices, and travel optimization strategies.
About this article: Written by the Travorro team using real booking data, platform insights, and current travel industry trends. Last updated April 2026.