Travel AI Visibility Index

Executive Summary

We analysed 51 travel brands across five AI platforms to answer a simple question: when someone asks AI to recommend a travel provider, who shows up? This index covers the broader travel sector, including tour operators, cruise lines, travel agents, accommodation specialists, and travel data providers.

The results suggest a widening gap between brands that AI surfaces consistently and brands that rarely appear. The average score is just 39 out of 100, with a median of 32. A small number of brands appear frequently while the majority score well below the mean.

Key Findings

• The top 3 score above 78. American Cruise Lines (83), OAG (80), and Tauck (80) lead the index. These brands appear consistently across all five AI platforms.
• Niche beats mass-market. Specialist brands outperform generalists. Hurtigruten (73), Lindblad Expeditions (69), and Quark Expeditions (54) all score well above average in the expedition space.
• Luxury doesn't guarantee visibility. Tauck scores 80 while Artisans of Leisure scores 18 and Ker & Downey scores 23. Content depth and third-party coverage matter more than price point.
• Brand size is not the deciding factor. Quark Expeditions (54) outscores Saga Travel (1). Butterfield & Robinson (53) outscores Hays Travel (24). Small specialists can outrank large brands.

The Leaderboard

All 51 brands ranked by AI Visibility Score. 60+   20–59   Under 20

* Tested with 5–10 keywords. All other brands tested with 20 keywords.

The Leaderboard

* Tested with 5–10 keywords. All other brands tested with 20 keywords.

Finding 1: Niche Beats Mass-Market

The single strongest predictor of AI visibility in travel is category specificity. Brands that own a clearly defined niche score significantly higher than generalists.

When someone asks AI "What are the best expedition cruises?", Hurtigruten (73) and Lindblad (69) dominate because they are the expedition brands. The same pattern holds across polar travel (Quark, 54), luxury safaris (Abercrombie & Kent, 55), and active luxury (Butterfield & Robinson, 53).

This mirrors a pattern we've observed across other verticals. In the categories we've studied, the brands AI surfaces most tend to be those with the clearest, most differentiated positioning - not necessarily the biggest marketing budgets.

Finding 2: River Cruises Dominate AI Recommendations

River cruise brands are among the highest-scoring in the entire index. American Cruise Lines leads at 83, AmaWaterways scores 78, and even Riviera Travel at 33 outperforms many larger brands.

Why river cruise brands score well

• Rich editorial coverage. River cruising is a frequent subject of travel journalism. "Best river cruises in Europe" and "best small ship cruises" are natural AI queries, and these brands appear consistently in the editorial content AI draws from.
• Limited competitive set. With fewer credible operators in the river cruise category, each brand has a higher chance of being cited when AI responds to relevant queries.
• Review presence. River cruise brands generate extensive review content on Cruise Critic, TripAdvisor, and specialist forums - exactly the third-party sources AI platforms rely on.

Finding 3: Luxury Doesn't Guarantee Visibility

There is a wide range in AI visibility within the luxury travel segment. Tauck scores 80 while Artisans of Leisure scores 18 and Ker & Downey scores 23. Being a luxury brand is not, by itself, an AI visibility strategy.

The difference is not product quality or price point. It is content depth and third-party coverage. Tauck and Abercrombie & Kent have decades of editorial presence, award mentions, and expert endorsements. Smaller luxury operators, despite offering exceptional experiences, lack the breadth of third-party content that AI models draw from.

Finding 4: AI Visibility Is Independent of Brand Size

Within this sample, brand size does not appear to predict AI visibility. Some of the smallest operators in this index outscore brands with far larger customer bases.

Quark Expeditions is a small, specialist polar operator. Saga is one of the UK's largest travel brands. Yet Quark scores 54 to Saga's 1. Butterfield & Robinson, a boutique active luxury brand, outscores Hays Travel, the UK's largest independent travel agent.

Why this happens

• AI doesn't know your revenue. AI models don't weight brands by company size, employee count, or advertising spend. They weight by how often and how credibly a brand appears in the content they can access.
• Offline strength doesn't translate. Saga and Hays built their businesses through offline channels, call centres, and high street presence. Offline brand strength does not seem to translate directly into AI visibility in this dataset.

What Top-Scoring Brands Have in Common

Across the top performers, four patterns emerge consistently. These are structural advantages that compound over time.

What This Means For Your Brand

Whether you scored high or low in this index, the shift to AI-driven discovery is accelerating. Here are five actions every travel brand should take now.

Methodology

This index measures how consistently AI platforms recommend each travel brand when users ask natural-language travel questions. The methodology is designed for statistical reliability and cross-platform comparability.

Process

• Brand selection. 51 brands across the broader travel sector, including tour operators, cruise lines, travel agents, accommodation specialists, and travel data providers. Brands were selected based on their relevance to AI-mediated travel discovery.
• Keyword design. 20 category-relevant queries per brand, phrased as natural questions (e.g., "What are the best arctic expedition companies?").
• Platform coverage. Each query was run across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews.
• Statistical reliability. Five runs per keyword per platform to account for AI response variability. Results are averaged to produce a stable score.
• Scoring. Brands scored 0–100 based on the number of keyword-platform pairs where the brand was mentioned in a majority of runs, divided by total keyword-platform pairs, multiplied by 100.

How Scoring Works

Each brand was scored using a simple, transparent formula:

A brand tested with 20 keywords across 5 platforms has 100 keyword-platform pairs. If the brand appears in a majority of runs for 38 of those pairs, its score is 38/100.

All platforms are weighted equally. Each keyword was run 5 times per platform to reduce variance from non-deterministic AI responses. The final mention count uses majority consensus (mentioned in 3+ of 5 runs = counted as mentioned).

Scores reflect this specific sample of keywords and this specific time period (March–April 2026). They are directional indicators, not absolute market share.

Limitations

About SearchIntel

Visibility intelligence for the answer economy.

SearchIntel helps brands understand and improve how they appear across AI search platforms. We combine proprietary monitoring technology with 20 years of search strategy expertise to deliver intelligence that's actionable, not just informational.

We show you where AI mentions you, where it ignores you, and which third-party sources are shaping those answers. We help brands move from anecdotal screenshots to systematic visibility tracking across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews.

What we do

• AI Visibility Audits. Comprehensive analysis of how your brand appears across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. We test the actual questions your customers are asking.
• Competitive Intelligence. See how you compare to competitors in AI recommendations. Understand where you're winning, where you're losing, and why.
• Strategic Advisory. Monthly visibility reports, content recommendations, and strategic guidance to systematically improve your AI presence.
• Full Optimisation. Content strategy, third-party citation building, entity authority development, and ongoing monitoring with measurable improvement targets.

Founded by

Paul Byrne - 20+ years in digital marketing. Former search strategy lead at MediaCom (Adidas, Shell, Coca-Cola) and IPG Mediabrands (LEGO). Worked at Google. Client-side at TripAdvisor/Viator. Paul built SearchIntel to solve the problem he saw coming: brands losing visibility in the shift from search to answers.