Your wholesaler isn't worried about AI
Wholesalers like RateHawk's parent Emerging Travel Group appear unfazed by AI-driven booking agents that are reshaping how travelers plan and book hotels.
Wholesalers like RateHawk's parent Emerging Travel Group appear unfazed by AI-driven booking agents that are reshaping how travelers plan and book hotels.
Wholesale contracts now route hotel rooms through bank rewards portals and airline loyalty sites, stripping hotels of guest data, direct relationships, and future bookings while the rate discount remains.
AI assistants now synthesize reviews and web content into hotel summaries that travelers see before visiting any owned channel, reshaping how first impressions are formed.
A Club Quarters executive argues hotels should treat distribution as a strategic ecosystem, prioritizing data connectivity, direct booking conversion, and guest lifetime value over raw channel volume.
Expedia Group and RateHawk published research the same week recasting hotel connectivity from neutral infrastructure into the entry condition for AI-driven, platform-controlled distribution.
Cvent CEO Reggie Agarwal argues that AI-driven content saturation makes in-person presence the highest-trust signal in modern marketing, with implications for event strategy.
As AI tools increasingly shape traveler decisions before they visit a hotel website, brand consistency across reviews, listings, and third-party sources has become a critical marketing priority.
Namastay founder Frédéric Robles argues that friction at checkout, not pricing or loyalty, is the primary reason hotel direct booking rates remain stuck at 5–15%, while digital wallets have doubled mobile bookings on some properties.
The global leisure economy is projected to grow from $5.5T to $9.57T, but operators face structural sales challenges rooted in consumer psychology, optional spending, and infinite competition.
Booking Holdings is unifying Booking.com, Agoda, and Priceline under a single B2B wholesale operation, giving it the ability to resell hotel net-rate inventory across bank apps, airline checkouts, and loyalty portals at scale.
A Hemingway-inspired perspective on Generative Engine Optimization and what hospitality brands can learn about visibility in AI-driven search.
Gen Z is reshaping luxury by prioritizing experiences, authenticity, and resale over logos, with major implications for hospitality operators and goods brands competing for younger consumers.
Independent hotels can capture growing unmanaged corporate travel by loading rates into the GDS, bypassing RFPs entirely and appearing in corporate booking tools where off-channel spend is being corralled.
Hotels can reduce OTA commissions by making their websites more convenient than third parties and using CRM data to send personalized, trust-building emails rather than generic promotional offers.
Research shows 31% of customers distrust businesses with no negative reviews, making how hotels respond to criticism a stronger marketing signal than five-star ratings alone.
The author argues that AI citation share, not just AI query costs, is the next major distribution battleground, with data showing visibility concentrating among a small group of hotel brands across AI platforms.
AI platforms now resolve hotel recommendations to a single dominant name per market, creating a winner-take-most dynamic that bypasses traditional attribution tools entirely.
ChatGPT's top hotel recommendation changes 45% of the time when the same question is asked twice, with only 60% of named hotels reappearing, challenging how hotels approach AI visibility strategy.
A narrative essay argues that AI-driven recommendations are becoming the internet's new organizing principle, shifting value from clicks and search to trusted, curated guidance.
Opinion piece argues hotels neglect review-gathering for group/MICE business, and outlines a practical SOP for capturing testimonials at peak emotional moments to win direct bookings.