AI referrals to travel sites surge 194% as engagement rises: Adobe

AI referrals to U.S. travel sites surged 194% year over year in May 2026, according to Adobe. This represents a 2,215% increase since October 2024, when Adobe began tracking AI traffic. Travelers are increasingly using large language models for various aspects of trip planning, including comparing destinations, evaluating hotel amenities, building itineraries, finding promotions, and booking trips. AI-assisted travel planning has moved beyond initial research phases.

AI-referred visitors demonstrated stronger engagement metrics compared to those from traditional sources. These visitors were 21% more engaged, spent 70% longer per visit, and exhibited bounce rates that were 41% lower. While AI-referred travel visitors still converted 28% less than non-AI traffic, this conversion gap has narrowed by nearly 70% since October 2024. Adobe suggests these engagement patterns indicate more purposeful, high-intent behavior.

Adobe also analyzed the readability of travel websites for large language models using its AI Content Visibility Checker. Hotel homepages achieved a 63% readability score, and car rental homepages scored 59%. Product pages showed higher scores, with hotels at 73% and car rentals at 71%. Despite these figures, Adobe noted that over one-third of content on some leading travel pages remained unreadable to AI systems.

Hotels generally scored highest across various page types, including destination guides, activities, search results, customer service, and promotions. Car rentals led in FAQ pages, and cruises excelled in blog and news content. Airlines lagged behind other travel sectors in readability across all measured page types. The data indicates a preference for pages with rich, structured information, such as property details and vehicle descriptions.