One version of the truth
Every fact, on every channel, checked against the others and against your own site. What is wrong, where, and which version is correct.
Tharro reads your Booking.com, Expedia and other listings side by side: facts, photos, scores. It flags the contradictions, names the correct version, and tells you exactly where to fix each one.
Free for 14 days. No credit card. Cancel anytime.
9 of 28 facts pass
Fixing your 4 errors takes you to 46%; the 10 gaps take you to 82%. This is a copy-editing afternoon, not a project.
Breakfast includedP1
→ Correct the breakfast policy on Booking to match your site. Your website is the authoritative source.
Every fact, on every channel, checked against the others and against your own site. What is wrong, where, and which version is correct.
Not whether you have photos but whether they compete: count, coverage and quality, benchmarked to the hotels a guest compares you with.
Assistants read these listings when they answer. Consistent listings get quoted; contradictory ones get skipped, or worse, quoted wrong.
Check-in times, room counts, amenities, policies, compared across Booking, Expedia and your own website.
Conflict, gap, understatement or overstatement, with P1 to P3 priority so the booking-costing errors come first.
Correct breakfast policy on Booking
Each finding says which source is authoritative and exactly which channel to edit, usually minutes in the extranet.
Count, coverage and quality of your galleries scored against the hotels a guest compares you with.
ChatGPT repeats the wrong version
Facts flagged where assistants are already repeating the wrong version, because contradictions do not stay on the OTA page.
A fact that was right last week and wrong today gets flagged the week it breaks.
Your listings on every major channel and your own website read side by side, 28 facts plus the photo galleries.
Substance compared, not strings: each mismatch classified and prioritised, each fact's authoritative version named.
Every finding links the exact channel to edit; the next weekly check confirms the fix took.
OTA listing optimization is the practice of keeping a hotel's presence on booking channels (Booking.com, Expedia, TripAdvisor and the hotel's own website) complete, accurate and consistent, so that every channel presents the hotel's full value. It has traditionally meant chasing content scores inside each OTA's extranet; the modern version is cross-channel: the expensive failures are not what one listing lacks, but where listings disagree.
The pattern we see across audits: missing facilities on high-traffic channels (the amenity exists, the channel doesn't say so, most common with wellness, family and accessibility content); policy conflicts (pets, parking, check-in times differing between channels, the most trust-damaging category because guests screenshot these); and systematic understatement (a one-line description on the OTA where the website tells a full story, common because extranets are updated by whoever has the login, not whoever owns the brand).
Yes, OTAs reward content completeness in their own search results, and both Booking.com and Expedia publish content-score mechanics that feed visibility. But the larger effect is off-OTA: complete, consistent listings are what review platforms, metasearch and AI assistants ingest when they describe you. The listing is upstream of everything now.
Five minutes to set up. One market free for 14 days.
OTA listing health is how correct, complete and consistent your hotel appears across booking channels. It is measured by checking the same facts and photos on every channel against each other and against your own website, because contradictions cost trust with guests and with AI.
Booking.com, Expedia and the other major OTAs where you are listed, plus your own website, the same facts side by side.
No, you keep control of your channels. Tharro tells you exactly what is wrong and where; the fix is usually minutes in the extranet.
They cost trust twice. A traveller comparing channels reads them as carelessness, and an AI assistant reading your listings repeats whichever version it finds.
Count, coverage of what guests look for, and quality, benchmarked against your comp set rather than an abstract standard.
Weekly, with changes flagged. A fact that was right last week and wrong today is exactly what you want to hear about.