Why Perplexity and ChatGPT Are Reshaping Travel Booking: Reputation Now Beats Size
AI-powered answer engines are fundamentally changing how travelers discover airlines, hotels, and booking platforms, with brand reputation and editorial presence now mattering more than operational scale. A new study from 5W Research analyzed over 60 common travel-related prompts across multiple AI platforms, including ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews, during the second quarter of 2026. The findings reveal that visibility within AI-generated answers may soon rival traditional search rankings as a critical competitive metric for the travel industry.
How Are AI Platforms Changing Which Travel Brands Get Recommended?
The research examined which airline, hotel, and travel brands appeared most frequently in AI responses to traveler questions ranging from "best airline for international travel" to "best hotel loyalty program" and "best site to book flights." The results show a striking disconnect between company size and AI visibility. Brands most frequently recommended by AI systems are not necessarily the largest operators in their sectors, but rather those with the strongest reputational footprint across editorial coverage, reviews, traveler communities, and industry consensus.
In the hotel sector, Marriott and Hilton emerged as clear leaders in AI-generated recommendations, regularly appearing together in responses about the best hotel chains and loyalty programs. Marriott operates approximately 1.7 million rooms across more than 9,000 properties worldwide, but the study suggests that size alone is not driving its visibility. Instead, decades of brand recognition, extensive loyalty programs, and sustained editorial coverage appear to be reinforcing its presence within AI recommendations.
The findings become even more striking when examining airlines. Delta Air Lines ranked as the most frequently cited travel brand overall, accounting for an estimated 10.5% of all brand references tracked by the study. However, American Airlines, which remains the largest U.S. carrier by passenger capacity, ranked only fifth in AI citation share, behind Delta, United Airlines, and other competitors. Researchers found that AI platforms consistently associated Delta with reliability, operational performance, and premium service, helping it dominate responses to "best airline" queries despite not being the largest carrier.
What Factors Influence How AI Systems Recommend Travel Brands?
The research highlights several key drivers of AI visibility that travel marketers should understand:
- Editorial Coverage: Travel publications and consumer review sites are frequently cited by AI systems and help establish the consensus signals that AI models rely upon when generating recommendations.
- Traveler Communities: Online communities such as Reddit and FlyerTalk significantly influence how AI systems perceive brand reputation and quality, shaping which brands appear in recommendation-oriented queries.
- Brand Recognition and Loyalty Programs: Decades of consistent brand presence, loyalty program quality, and associations with premium experiences help brands like Marriott, Hilton, and Delta maintain high visibility in AI-generated answers.
- Reputation Over Scale: Operational metrics like fleet size, room count, and market share do not necessarily determine which brands AI systems recommend to travelers seeking advice.
One notable exception to traditional brand dominance is Airbnb, which ranked eighth overall. The company appears to benefit from occupying a distinct category of travel intent. Queries related to alternative accommodations, group travel, and vacation rentals frequently generated Airbnb recommendations without direct competition from traditional hotel brands.
Hyatt also outperformed its physical footprint, ranking seventh overall. Researchers attributed this to strong associations with loyalty program quality and premium travel experiences. By contrast, Wyndham Hotels & Resorts, which operates approximately 6,400 U.S. locations and is the country's largest hotel chain by property count, ranked only 14th. The report suggests that budget and economy-focused brands may struggle to gain visibility because travelers are less likely to ask AI platforms about them by name when seeking recommendations.
How Should Travel Marketers Adapt to AI Visibility?
The study concludes that AI visibility is emerging as a new competitive metric for the travel industry. For marketers, the findings suggest that reputation, trust, and consensus are becoming increasingly important digital assets. Travel companies should consider adjusting their strategies in the following ways:
- Build Editorial Authority: Invest in authoritative editorial coverage and thought leadership rather than relying solely on paid advertising and traditional SEO tactics to influence AI recommendations.
- Cultivate Positive Traveler Sentiment: Maintain strong presence in review platforms and traveler communities, as these sources directly shape the consensus signals that AI models use when generating recommendations.
- Develop Expertise Around Specific Needs: Focus on building reputation for addressing particular traveler needs, such as business travel, family vacations, or luxury experiences, rather than competing on scale alone.
- Monitor AI Recommendation Trends: Track how brands appear in AI-generated answers to common travel questions and adjust content and reputation strategies accordingly.
The research also reveals significant implications for online travel agencies (OTAs) like Booking.com, Expedia, and Hotels.com. While these platforms appeared in AI-generated responses, researchers believe the category faces increasing pressure as AI systems provide direct answers to travel planning questions that historically required users to visit intermediary booking sites. As AI systems increasingly surface flight, hotel, and destination recommendations directly within answers, portions of the traditional travel booking funnel may become compressed.
Brands that consistently appear in recommendation-oriented queries such as "best airline for business travel," "best hotel loyalty program," or "best hotel for families" may gain an advantage as more consumers begin their travel planning with conversational AI tools. As AI-assisted travel planning continues to evolve, the brands most visible within those recommendations may ultimately gain a growing share of traveler attention and bookings.