Every night, guests write about your hotel on TripAdvisor, Booking.com, Google, and a dozen other sites. The hotels that win more bookings are the ones that track every review, reply fast, and use guest feedback to improve. Here's how hotel review management works and why it matters for your property.
Hotel review management is the work of tracking, replying to, and learning from guest reviews on every site where travelers share their stays. That means Google Business Profile, TripAdvisor, Booking.com, Expedia, and the growing list of OTAs and social sites where people post. For most hotels, reviews are spread across eight or more sites, each with its own login and alert system.
It goes beyond reading reviews and typing replies. A real review process covers five areas: tracking new reviews across all sites in real time, replying to both good and bad feedback fast, collecting new reviews from recent guests through post-checkout outreach, studying mood patterns to find issues, and comparing your scores against rival hotels in your market.
Hotels that treat review management as a daily task, not a side project, always beat those that don't. The hotels that do it well turn more lookers into bookers.
Most hotel teams know reviews matter. The problem isn't awareness. It's bandwidth. Here are the three issues we hear about most.
A guest posts on Booking.com at midnight. Another writes a TripAdvisor review on the flight home. A Google review shows up three days later. Your front desk team must log into each site, scroll through panels, and hope they catch it all. Most hotels check two or three sites and skip the rest. That means bad reviews on smaller OTAs sit with no reply for weeks.
Booking.com's sort order factors in reply rate and reply speed. TripAdvisor's rank rewards hotels that engage with guests. When your reply time is days instead of hours, your listing drops in search results. You lose clicks from travelers who filter by rating. Most hotels know they should reply faster but just don't have the time.
Without a way to ask guests for reviews after checkout, you rely on the small share of travelers who post on their own. That group skews negative. Guests who had a great stay rarely think to write about it unless asked. Hotels that don't send review requests get 3-5x fewer reviews than those that do.
Travelers leave reviews wherever they booked. If you're only watching Google and TripAdvisor, you're missing feedback from half your guests. Praising.ai monitors all of these and more.
OTAs don't just look at your star rating when placing you in search results. They also measure how fast you engage with guest feedback. Booking.com's search system clearly weights reply rate and reply speed. TripAdvisor's rank rewards hotels that show fast replies.
Here's what that means in practice. Two hotels in the same city with a 4.3 rating will rank differently based on reply habits. If one replies to 90% of reviews within an hour and the other replies to 40% within a week, the fast hotel shows up higher. It gets more views and more booking requests.
Fast replies also shape how future guests read bad reviews. A complaint about a noisy room looks different when there's a quick reply from the hotel saying the nearby work has since finished. Future guests see that and think, "They actually listen." Without a reply, that same complaint makes it look like the hotel doesn't care.
Hotels that switch from doing it by hand to Praising.ai typically see their reply time drop from 2-3 days to under 2 minutes. The ranking boost on Booking.com and TripAdvisor is usually clear within 60-90 days.
These are the six features that set a purpose-built tool apart from checking sites by hand or using a spreadsheet.
Every guest review from every site lands in one inbox. TripAdvisor, Booking.com, Google, Expedia, Agoda, Hotels.com, Airbnb, and more. Your team opens one screen each morning and sees all that came in overnight. Filter by site, star rating, mood, or property. Flag reviews that need a manager. No more tab-switching.
Praising.ai reads each review and writes a reply that speaks to the guest's own words. It picks up on details. If someone mentions the rooftop pool or a noisy room on the third floor, the reply names that. The draft is ready in seconds. Your team reads it, tweaks what needs fixing, and hits publish. Most replies go out in under two minutes.
Set up messages that go out on their own after a guest checks out. Pick your timing: some hotels send 2 hours after checkout, others wait 24 hours. The message has a direct link to your Google Business Profile, TripAdvisor, or the site you want more reviews on. Works with PMS exports, CSV uploads, or manual entry.
See your average rating, review count, reply rate, and mood trends on one screen. Track changes month over month. Spot which sites are growing and which are flat. Dig into topics to learn what guests talk about most: clean rooms, location, friendly staff, breakfast, noise.
Track the review scores and count of rival hotels in your market. See how your TripAdvisor rank stacks up against the three hotels down the street. Find what guests praise about rivals that you could do better. Use this data in revenue meetings to link your reputation to pricing power.
Run review management for your whole portfolio from one account. Each property gets its own inbox, stats, and reply templates. General managers see their hotel's data. Regional directors see combined views across their group. Corporate teams spot hotels falling behind before small issues grow.
You built your name on personal touches. The handwritten welcome note. The local breakfast. The front desk who knows returning guests by name. But when a guest leaves a thoughtful TripAdvisor review, nobody replies for a week because you're busy running the place. Praising.ai writes replies that match your warm, personal tone. Guests feel heard, and future travelers see a hotel that cares.
Running reputation across 10, 50, or 200 hotels means uneven quality is your biggest risk. One hotel replies within hours. Another hasn't replied in three months. The brand suffers. With Praising.ai, every hotel follows the same reply standards. Corporate sees metrics across all sites and can step in when a score dips. GMs get their own view but work within brand rules.
Airbnb superhost status depends on review scores. VRBO and Booking.com rank listings by rating. You might manage 5 units or 50, but each one needs its reviews tracked and replied to on its own. Praising.ai treats each listing as a separate spot, and you manage them all from one screen. Guest feedback gets answered same day. Review requests go out after every checkout.
"We used to spend two hours every morning checking Booking.com, TripAdvisor, and Google for new reviews. Now everything is in one inbox and the AI drafts are so good we only edit about one in five. Our TripAdvisor ranking went from #14 to #6 in our city within four months."
Sarah Chen
Director of Operations, The Harbor Hotel
Praising.ai pulls reviews from Google Business Profile, TripAdvisor, Booking.com, Expedia, Hotels.com, Agoda, Airbnb, Facebook, Yelp, OpenTable, and more. In total, 20+ review sources feed into one inbox. If a guest can leave a review there, we likely track it. If we don't support a site yet, let us know and we'll add it.
Yes. Each property is set up as its own location in your Praising.ai account. General managers can view their own inbox and stats. Regional or corporate users see a combined view across all locations. There's no cap on the number of hotels. Each added property is billed as a separate location on your plan.
After a guest checks out, Praising.ai sends a review request by SMS or email on its own. You control the timing and the message. Most hotels send between 2 and 24 hours after checkout, while the stay is still fresh. The message has a direct link to Google Business Profile, TripAdvisor, or your chosen site. Guests tap once and start writing. You can pull guest data from your PMS or upload contacts via CSV.
It does. Booking.com factors reply rate and reply speed into their search sort. Hotels that reply to more reviews, and do it faster, show up higher in results. TripAdvisor's rank also rewards engagement. Hotels on Praising.ai typically cut their reply time from days to minutes. The ranking boost is clear within a few months.
OTAs weigh review scores heavily when ranking hotels. A 0.1 rise in your Booking.com score can clearly boost your spot in search results. Research from Cornell shows that a 1-point score gain lets a hotel raise its daily rate by 11% without losing bookings. More reviews, better scores, and active replies build on each other to drive more clicks and stays.
Plans start at $19/month per location. The Growth plan at $29/month adds AI reply drafts and review request sequences. No long-term contracts. Every plan has a 7-day free trial. For hotel groups with 10+ properties, contact us for volume pricing.
Connect your sites, see every review in one place, and let AI handle the first draft. Setup takes 15 minutes. Plans start at $19/month. No contracts.
Start Free Trial