Benchmark Booking.com scores, TripAdvisor sentiment, and social engagement against your competitive set — and understand how reputation drives both AI recommendations and direct bookings.
You know your Booking.com score. But do you know how your Staff sub-score compares to your comp set? That your competitor's TripAdvisor sentiment has 15 more percentage points on "Excellent" reviews? That their Instagram engagement is 3x yours?
Reviews aren't just social proof anymore. AI platforms use review data as a core signal when deciding which hotels to recommend. Review aggregators dominate Google search results. Your reputation is a revenue driver — but only if it's stronger than your competitors'.
Your overall 8.6 might be solid — but a "Value for Money" sub-score of 7.2 against a comp set average of 8.1 is suppressing your conversion rate. Competitive benchmarking reveals exactly which category to fix
AI weights review quality and recency heavily. A 9.2 with recent reviews gets recommended more than an 8.4 with stale ones. See where you stand on the inputs AI cares about
Your Booking.com listing is a source AI and Google use to describe your hotel. Listing audits reveal whether photos, descriptions, and amenity lists work as hard as competitors'
Is your Instagram engagement rate good? Without competitive context, you can't know. See where you stand relative to the hotels travelers choose between
A cluster of negative reviews about slow service can tank sub-scores before you notice in aggregates. Competitive monitoring surfaces patterns early for operations to fix
Show the owner: "Our Facilities sub-score is 0.8 below comp set average. Here's the estimated booking impact." Data makes the case for renovation or training better than anecdotes
Staff, Facilities, Cleanliness, Comfort, Value, Location, WiFi — per hotel in your comp set. Spot your weakest category
Excellent, Very Good, Average, Poor, Terrible distribution. Where positive sentiment concentrates in your market
IG followers, engagement, avg likes. FB followers, reactions, comments. All vs. your comp set
Gallery score, description quality, specific fixes per hotel. Are your photos and descriptions competitive?
Ranked: overall score, gallery, description, value perception, biggest weakness. Full comp set, one view
Recommendation % and review count. An overlooked signal feeding traveler trust and AI context
AI platforms aggregate reviews, social signals, and third-party content to form recommendations.
A hotel with a 9.2 on Booking.com appears in AI answers more reliably than one with an 8.4.
Your reputation isn't just about the guest anymore — it's about the algorithm. Tharro tracks AI visibility and reputation together
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See how your reputation compares on every dimension. Identify which review categories and social metrics to improve for the biggest visibility and conversion impact
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Pinpoint exactly which service areas guests rate lower than competitors. Use sub-score benchmarks to target operational improvements where they matter most for bookings
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One-view competitive league table: where you rank on reputation, listing quality, and social presence. Clear evidence for where to invest in guest experience
See exactly where you stand on reviews and social against every competitor in your market
Booking.com (detailed sub-scores), TripAdvisor (sentiment distribution), Facebook (recommendations), and Google reviews. All benchmarked against your comp set.
Instagram and Facebook — followers, engagement rates, average interactions. Against your comp set, not generic industry averages.
AI platforms weight reviews and social presence when deciding recommendations. Stronger reputation = more AI mentions. Tharro tracks both together so you see the direct connection.
Yes. Every Booking.com sub-score for every hotel in your comp set — revealing which competitors beat you on specific categories.
Significantly. A 0.1 increase in score can lift conversion by several percentage points. But the effect is relative — your score vs. competitors matters more than the absolute number.
Reviews feed AI directly. Improve scores, watch AI recommendations follow
Learn MoreReview scores appear in Google results and influence ranking
Learn MoreReview gaps surface as prioritized weekly actions with estimated impact
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