Stop guessing which
rooms guests love.
Room-by-room verified reviews, individual scores, and a live insights dashboard from real guests.
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Room Quality Scores
Every room earns its own score across 8 categories: cleanliness, comfort, noise, condition, view, bathroom, temperature, and amenities. Pinpoint exactly what drives your ratings.
Verified Stays Only
Guests confirm their reservation before reviewing. Scores reflect real stays, with no anonymous submissions, bots, or competitor interference.
Multiple Review Paths
Guests can tap "I Stayed Here" on your Roomza profile or scan a room QR code at checkout. Whichever fits your operation, more touchpoints means more verified data.
Insights Dashboard
Track score trends, top-performing rooms, and guest feedback over time. Your claimed profile also gets a direct booking button so guests can book without a third-party fee.
How it works
Up and running in minutes.
Claim your profile
Search above and claim your property. You get a public Roomza.com page with a direct booking button, with no OTA taking a cut.
Add your rooms
Import a room list or add rooms manually. Each room gets its own profile and starts earning a Room Quality Score.
Guests verify their stay
After checkout, guests tap "I Stayed Here" on your profile or scan a room QR code. They confirm their reservation, then review that exact room.
Scores and insights grow
Every verified stay updates your Room Quality Scores across 8 categories. Track trends, identify problem rooms, and see what guests love.
Travelers are asking AI which hotel room to book.
Make sure yours has an answer.
AI assistants have become a meaningful part of how people plan travel. Travelers open ChatGPT, Perplexity, or Google's AI Overviews and ask specific questions before they ever visit a booking site: “Which rooms at the Grand Hyatt Seattle are quietest?” or “Is the view worth paying extra for?” AI pulls from every source it can access and surfaces answers it can back up with high-confidence data. The hotels that show up in those answers are the ones with the right kind of data.
Attributed to a real stay
Sources like Reddit, TripAdvisor, and Google Reviews are valuable, and AI reads all of them. But it also applies a trust hierarchy. A thread that says "corner rooms are great here" carries less weight than a review that is confirmed to a real reservation and tied to a real room number. Every Roomza review is verified at the reservation level before it is published.
Room-specific, not property-general
Most review data tells AI about a property's overall character. Roomza tells AI about individual rooms: which floor is quietest, which view is worth the premium, which rooms guests consistently score highest on comfort. That specificity lets AI answer precise questions with precise answers, not general impressions.
Structured and scoreable
Prose reviews are useful. Structured scores across 8 categories for every room in a hotel are searchable, comparable, and rankable. AI can reason over this kind of data in ways it simply cannot with unstructured text, producing more confident and specific recommendations that travelers trust.
Hotels that build a meaningful body of verified room reviews on Roomza become answerable. When a traveler asks an AI assistant where to stay or which room to request, your property can give the AI something concrete to work with. That is a distribution channel no OTA controls and no ad budget can buy.
The future of hospitality is
selling rooms, not room types.
Airlines have priced individual seats differently for decades. 2A and 32E are not the same product, and they do not pretend they are. Hotels still sell “Deluxe King” as if every Deluxe King is identical. Guests know it is not. Room 402 with the mountain view and the quiet corner is a different stay than 418 facing the HVAC unit.
Room-level data is the prerequisite for room-level commerce: per-room dynamic pricing, preference-based upsells, and smarter demand forecasting. The hotels building verified room data today are the ones who will be ready when these tools arrive. We are building toward that future, and the data starts now.