The intelligence layer
for tourism professionals.

Sixteen percent. That is the share of hotels currently visible in AI-generated travel recommendations, according to 5W Research. The rest are functionally invisible to the fastest-growing discovery channel in the industry. The funding tells the same story from the supply side. Lighthouse closed $370 million from KKR to scale its AI-powered commercial intelligence platform. Fora hit a $1 billion valuation on $60 million fresh capital, betting that AI tools will redefine how travel advisors compete. Perk acquired AmTrav with $135 million in backing from Blackstone and Blue Owl. Hospitality tech overall saw a $1 billion surge, much of it flowing into AI-driven revenue management and pricing automation. The money is not chasing incremental improvements. It is chasing control of how travelers find, compare, and book. My read: AI visibility is becoming the new search ranking war, but most operators have not adjusted their playbooks. AEO and GEO, the frameworks for algorithmic and geographic experience optimization, are already shaping which brands surface in AI recommendations. Phocuswright's latest report shows that travel agents who adapted to earlier distribution shifts are thriving, not disappearing. The same principle applies now. DMOs and hoteliers who treat AI visibility as a technical afterthought will lose share to those who treat it as a core marketing function. Over the next twelve months, I expect to see a new category of vendors emerge specifically to optimize hotel and destination content for large language models. The question is whether you will pay for that service, or pay the cost of being the 84 percent that AI never mentions.