RateGain report flags AI search threat to hotel direct bookings
RateGain Travel Technologies Limited released The Direct Booking Friction Report 2026, auditing 65 hotel properties across APMEA. The report reveals that 42% of hotels lack visibility on search pages, 63% price higher than OTAs, and 72% have slow load times. It warns that AI search could exclude hotel websites from the booking journey, urging digital strategy reassessment.

*this image is generated using AI for illustrative purposes only.
RateGain Travel Technologies Limited has released The Direct Booking Friction Report 2026, a first-of-its-kind audit revealing that hotels across the Asia Pacific, Middle East, and Africa (APMEA) region are losing direct revenue to friction within their own digital experience rather than poor demand. The report warns that AI-powered search tools have the potential to push hotel websites out of the booking journey entirely, representing a structural shift in how travellers interact with hospitality brands online.
Key Audit Findings
The report evaluated booking journeys across 65 hotel properties in India, the Middle East, Southeast Asia, and the Maldives. It identified critical friction points across visibility, pricing, booking experience, and guest trust. At the visibility stage, 42% of hotels do not appear on Page 1 for unbranded search queries, rendering them invisible to high-intent travellers. During the comparison stage, 63% of properties list higher rates on their own website than on Online Travel Agencies (OTAs), actively losing guests to third-party platforms on price.
| Metric | Finding |
|---|---|
| Visibility Issue | 42% of hotels miss Page 1 for unbranded search |
| Pricing Parity | 63% list higher rates on own website vs OTAs |
| Website Speed | 72% fail 3-second load benchmark; avg 4.1s on mobile |
| Checkout Friction | 44% withhold taxes until final payment screen |
Digital Experience and Trust
The audit highlights significant inefficiencies at the booking and commitment stages. Approximately 72% of hotel websites fail the 3-second load benchmark, with average mobile load times reaching 4.1 seconds. When guests persist, they face an average of 4 clicks to confirm a reservation against a global benchmark of 3. Furthermore, 44% of hotels withhold taxes and fees until the final payment screen, identified as the single largest checkout abandonment trigger. Additionally, 1 in 3 properties expose guests to a URL or domain disconnect between their website and booking engine, introducing security anxiety.
Regional Variations and AI Impact
The report found sharp regional differences in digital maturity across APMEA markets. Singapore and Thailand set the regional benchmark with average load times of 2.9 seconds and the strongest direct price parity discipline. In contrast, the Maldives recorded the highest friction scores across speed, OTA bundle dominance, and pricing opacity. Ashish Sikka, Business Head - UNO Platforms at RateGain, noted that AI search is changing the rules of visibility faster than most hotels realize, creating an urgent need for unified platforms to fix systematic gaps.
Historical Stock Returns for RateGain Travel
| 1 Day | 5 Days | 1 Month | 6 Months | 1 Year | 5 Years |
|---|---|---|---|---|---|
| +2.41% | +13.18% | +25.98% | +5.13% | +58.13% | +119.51% |
How will hotels adapt their SEO strategies as AI-powered search tools threaten to bypass traditional website listings?
Will the pricing disparity between direct channels and OTAs force hotels to renegotiate commission structures with third-party platforms?
What technological investments are required to reduce mobile load times below the 3-second benchmark to retain high-intent travelers?


































