Singapore Takes Centre Stage in AI-Powered Travel Searches as Grayling Reveals the City-State’s Dominance in Luxury, Adventure, and High-End Experiences While Broader Holiday Queries Lag Behind
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Global Public Relations leader Grayling has released insights from a fresh study analysing Singapore’s visibility in AI-powered travel searches, highlighting that the city-state shines in queries related to luxury experiences and adrenaline-packed adventures but appears less prominently in broader holiday or honeymoon-focused prompts. The research was undertaken to coincide with the debut of GEO Radar, Grayling’s cutting-edge AI search intelligence platform aimed at helping businesses track how brands appear in AI-driven search ecosystems.
The April 2026 study assessed over 1,600 AI-generated responses from six distinct AI models, examining inbound travel prompts from Australia, the United Kingdom, and the United States, alongside outbound travel searches originating in Singapore. Findings reveal a notable trend: while Singapore maintains a strong reputation for premium travel and thrill-seeker activities, conventional vacation and honeymoon appeal remains underrepresented in AI-generated content.
This research comes as AI adoption accelerates in travel planning. Industry statistics indicate that more than a third of U.S. travellers now utilise AI tools for trip planning or experiences, with 37% expressing enough trust in AI recommendations to take actionable steps. Analysts at Gartner project that traditional search engine traffic may decline by 25% by 2026 as more users migrate toward AI chatbots and virtual assistants for travel information and planning.
“Travel is one of the sectors being reshaped most quickly by AI search,” said Danny Tan,
Managing Director of Grayling Singapore. “Consumers are no longer simply typing a few
keywords into Google and browsing links. They are asking AI models for recommendations,
itineraries and comparisons, and increasingly trusting the answers they receive. This makes itcritical for brands and destinations to understand how they are being surfaced, why they are
being recommended, and which sources are shaping those responses.”
Singapore’s AI Travel Visibility Varies by Trip Type
Singapore stands out in AI-generated travel insights, especially for travellers seeking stopovers, iconic skylines, and shopping experiences. Its vibrant cityscape, efficient transport network, and world-class retail options make it a frequent recommendation for short stays and layovers. These features position Singapore as a convenient and appealing hub for global travellers exploring Southeast Asia.
Honeymoon Travel Trends Shift Focus Away from Singapore
When it comes to honeymoon-focused queries, Singapore is less prominent. Destinations such as Bali, Sri Lanka, and the Maldives dominate AI recommendations for romantic getaways. Couples searching for beach resorts, secluded retreats, or cultural escapes are more likely to see these alternative locations highlighted over Singapore, reflecting differing travel intents across AI platforms.
AI Model Differences Affect Destination Visibility
The mention of Singapore also varies across AI tools. Gemini Flash and ChatGPT 5.3 consistently feature Singapore in their travel suggestions, emphasising its stopover and city highlights. In contrast, models like ChatGPT 4o and Perplexity Sonar Pro recommend Singapore less frequently, showing how AI architecture and training data can influence which destinations appear most prominently.
Regional Differences Influence Recommendations
Geographical audience also plays a role in Singapore’s visibility. Australian travellers are more likely to encounter Singapore in AI travel suggestions than those in the U.K. or U.S. This regional bias highlights how AI models integrate local search trends, travel patterns, and cultural preferences when generating destination recommendations.
Implications for Travel Planning and Marketing
Understanding these variations in AI-driven travel insights is crucial for both travellers and travel marketers. For visitors, it highlights how search tools may present different destinations depending on their trip type and region. For brands and tourism boards, these patterns reveal opportunities to tailor marketing strategies, optimise visibility, and target audiences more effectively using AI-powered platforms.
Top travel brands in Singapore dominate AI recommendations
Within inbound travel-related AI outputs, GEO Radar tracked which Singapore-based brands consistently surfaced across key travel sectors. Categories analysed include airlines, hotels, major attractions, and online booking platforms, highlighting the leading names that AI models prioritise for prospective travellers.
Top Airlines Mentioned for Inbound Queries
| Rank | Brand | Share of Responses |
|---|---|---|
| 1 | Singapore Airlines | 11.4% |
| 2 | United Airlines | 8.5% |
| 3 | Qantas | 7.6% |
Top Hotels Mentioned for Inbound Queries
| Rank | Name | Share of Responses |
|---|---|---|
| 1 | Marina Bay Sands | 35.1% |
| 2 | Raffles | 13.3% |
| 3 | Fullerton | 10.8% |
Top Attractions Mentioned for Inbound Queries
| Rank | Name | Share of Responses |
|---|---|---|
| 1 | Sentosa | 36.6% |
| 2 | Gardens by the Bay | 36.4% |
| 3 | Universal Studios | 18.5% |
Top Online Travel Agencies Mentioned for Inbound Queries
| Rank | Name | Share of Responses |
|---|---|---|
| 1 | Trip.com | 46.5% |
| 2 | Booking.com | 22.2% |
| 3 | Skyscanner | 21.3% |
AI-generated travel insights for outbound trips from Singapore prominently highlight Singapore-based airlines and leading online booking platforms. Analysis indicates that these carriers and platforms consistently appear most frequently in AI recommendations for travellers departing from the city-state.
Top Airlines Mentioned for Outbound Queries
| Rank | Name | Share of Responses |
|---|---|---|
| 1 | Scoot | 38.2% |
| 2 | Singapore Airlines | 32.8% |
| 3 | AirAsia | 26.9% |
Top Online Travel Agencies Mentioned for Outbound Queries
| Rank | Name | Share of Responses |
|---|---|---|
| 1 | Trip.com | 71% |
| 2 | Booking.com | 48.4% |
| 3 | Skyscanner | 16.1% |
Travel recommendations generated by AI are strongly shaped by content from lifestyle, parenting, and travel media. Analysis indicates these types of publications have a prominent influence on AI responses for both inbound and outbound travel queries. Among the sources examined, certain publications consistently appeared as the most referenced and impactful in guiding AI-driven suggestions.
Top Media Sources for Inbound Queries
| Rank | Name |
|---|---|
| 1 | Time Out |
| 2 | Lonely Planet |
| 3 | Sassy Mama Singapore |
Top Media Sources for Outbound Queries
| Rank | Name |
|---|---|
| 1 | Time Out |
| 2 | Lonely Planet |
| 3 | Sassy Mama Singapore |
The analysis revealed that AI frequently characterizes Singapore with terms like food, lush greenery, modern skyline, shopping, and safety, whereas labels such as ‘expensive’, ‘clean’, and ‘well-organised’ surfaced less often. When suggesting Singapore as a travel option, AI responses typically linked it with other popular destinations including Bangkok, Bali, Tokyo, and Los Angeles, rather than highlighting it independently. Often, Singapore was positioned as either the starting or an intermediate stop on multi-city itineraries. The comprehensive findings were unveiled during an exclusive gathering, The Grayling Speakeasy, on 21 May, hosted for the firm’s clients and partners prior to the regional rollout. Starting June, Grayling plans to expand GEO Radar across its Asia-Pacific offices and affiliates, covering Malaysia (Arcis Communications), Thailand (Spark Communications), the Philippines (Greenbulb Communications), Vietnam (Matterhorn Communications), and Australia (Cape Public Relations).