Travel Search Has Changed. Most Brands Haven't Noticed.
For two decades, travel worked the same way. Someone searched "best tour operators for Iceland" on Google, scanned the results, clicked a few links, compared options, and booked. The brand with the best SEO and the biggest ad budget won.
That model is breaking down.
Today, a growing number of travellers skip Google entirely. They open ChatGPT, Gemini, Claude or Perplexity and ask: "What's the best way to see the Northern Lights in Norway for under 3,000 pounds?" They get a direct answer. A curated recommendation. No ten blue links. No scrolling. No clicking.
68% of Google searches now end without a click. Google AI Overviews appear on the majority of travel-related queries. ChatGPT has over 800 million weekly users. This is not a trend on the horizon. It is happening now, and travel is one of the categories most affected.
What "AI-Powered Travel Search" Actually Means
There are two sides to this shift, and they matter for different reasons.
For travellers, AI-powered search means getting personalised recommendations without doing the research themselves. Instead of reading 15 blog posts and three comparison sites, they ask one question and get an answer tailored to their budget, interests and travel dates. Tools like ChatGPT, Gemini and Perplexity now function as AI-powered tourism platforms, synthesising reviews, editorial content and forum discussions into a single recommendation.
For brands, AI-powered travel search means a fundamentally different visibility game. Your Google ranking does not determine whether AI recommends you. AI models build their recommendations from third-party sources: TripAdvisor reviews, Reddit threads, travel publication articles, forum discussions, and structured data. If the web talks about you positively and consistently, AI will recommend you. If it does not, you are invisible.
This distinction matters. A tourism brand can rank position one on Google for a competitive keyword and still be completely absent from ChatGPT's answer to the same question.
The Data: How Travel Brands Actually Perform in AI Search
We wanted to know how the UK travel industry is performing in AI search right now. Not in theory. In practice.
SearchIntel tested 21 major UK travel brands across ChatGPT, Claude, Gemini and Google AI Overviews. We ran hundreds of travel-intent queries — the kind of questions real travellers type into AI platforms every day. "Best luxury tour operator UK." "Which company for a family safari?" "Affordable adventure holidays Europe."
The results were stark:
- Average AI visibility score: 37 out of 100. Most brands are more invisible than visible across AI platforms.
- 90% of brands received zero citations in Google AI Overviews. The platform that appears directly in Google search results is almost entirely ignoring the travel industry.
- Performance varied wildly by platform. Some brands appeared consistently on Perplexity but were invisible on ChatGPT. Others were recommended by Gemini but absent from Claude.
- Brand size did not predict AI visibility. Several well-known operators with large marketing budgets scored below 30. Smaller, niche brands with strong review footprints sometimes outperformed them.
The pattern was clear. Google ranking, brand awareness and marketing spend are poor predictors of AI visibility. The brands AI recommends are the ones with the strongest third-party evidence across the web.
Why Travel Is Uniquely Exposed
Travel is one of the most affected verticals for a specific reason: it is inherently recommendation-based.
Nobody searches for "buy holiday." They search for "best holiday for..." or "where should I go for..." or "which tour company is good for..." These are exactly the kinds of questions AI platforms are designed to answer. And when AI answers a recommendation query, it typically names one to three brands. Not ten. Not twenty. One to three.
If your brand is not in that shortlist, you do not exist in the traveller's decision process. There is no second page of AI results. There is no scrolling past the first recommendation. The traveller gets an answer and either follows it or refines the question.
This is why the travel industry cannot afford to treat AI search visibility as a future problem. It is a current revenue problem.
What Tourism Brands Can Do About It
AI visibility is not random. It follows predictable patterns. Brands that perform well in AI search share specific characteristics. Here is what works.
1. Build structured data that AI can read
Implement Organization, FAQ and Product schema across your website. This tells AI models what your brand is, what you offer, and how to categorise you. Without structured data, AI has to guess — and it often guesses wrong or skips you entirely. TourProduct and TravelAction schema types are particularly relevant for tourism operators.
2. Create FAQ content that matches traveller questions
AI models heavily favour FAQ-style content when generating travel recommendations. Build comprehensive FAQ sections that answer the specific questions travellers ask AI: "What's the best time to visit Patagonia?" "How much does a guided safari cost?" "Is it safe to travel solo in Southeast Asia?" Use natural language. Be specific. Include real numbers — costs, durations, group sizes.
3. Strengthen your third-party citation footprint
This is the single most important factor. AI models build confidence in brands through independent corroboration. That means:
- Review platforms: Active, recent reviews on TripAdvisor, Trustpilot, Google Reviews and sector-specific platforms like Feefo.
- Reddit and forums: Genuine mentions in travel subreddits and forums like Lonely Planet's Thorn Tree. AI models pull heavily from Reddit.
- Travel publications: Coverage in Condé Nast Traveller, Wanderlust, The Telegraph Travel, or specialist outlets in your niche.
- Directory listings: Presence in ABTA, AITO and other authoritative travel directories.
If the only place that talks about your brand is your own website, AI has one source. One source is not enough for a recommendation.
4. Invest in review signals
Review volume, recency and sentiment directly influence AI recommendations. A brand with 2,000 TripAdvisor reviews from the last 12 months sends a far stronger signal than one with 200 reviews from three years ago. Actively encourage post-trip reviews. Respond to them. Make review generation part of your customer journey, not an afterthought.
5. Publish content that matches conversational queries
AI platforms respond to conversational, question-shaped queries. "Best family-friendly resorts in the Algarve." "Which cruise line is best for first-timers?" "Adventure holidays for solo travellers over 50." If your content answers these specific queries with authoritative, detailed responses, AI models have something to cite. Generic "Our Holidays" pages do not get pulled into AI answers. Specific, question-shaped content does.
Why Continuous Monitoring Matters
AI recommendations are not static. They shift constantly.
A brand recommended by ChatGPT today may be replaced tomorrow if a competitor gains fresher reviews, stronger editorial coverage, or more Reddit mentions. The models update their knowledge regularly. Sources fall in and out of favour. Platform-specific algorithms weight different signals differently.
We have seen brands lose AI visibility within weeks of a competitor launching a PR campaign that generated third-party coverage. We have seen brands gain visibility simply because a Reddit thread praising them gained traction. This is a dynamic environment that requires ongoing tracking — not a one-off audit.
The brands that will win in AI-powered travel search are the ones that monitor their visibility across all four major platforms, track which competitors AI recommends instead, and respond to shifts before they become trends.
The Opportunity Is Now
Most travel brands have not started measuring their AI visibility. Our data shows 90% of the brands we tested are invisible on Google AI Overviews. That means the first movers — the brands that take this seriously now — will build an advantage that compounds over time.
AI models learn patterns. Early visibility reinforces itself. The brands that show up consistently today will be harder to displace tomorrow.
If you run a tourism brand, the question is simple. When a traveller asks ChatGPT "What's the best tour operator for [your category]?" — does AI recommend you, or does it recommend your competitor?
If you do not know the answer, that is the first problem to solve.
Frequently Asked Questions
What is AI-powered travel search?
AI-powered travel search refers to how platforms like ChatGPT, Google Gemini, Claude and Google AI Overviews generate direct travel recommendations instead of showing a list of links. Travellers ask natural-language questions and receive synthesised answers drawn from reviews, forums, news and third-party sources across the web. For tourism brands, visibility depends on how AI models perceive your authority — not just your Google ranking.
How do travel brands appear in AI search results?
AI models recommend travel brands based on third-party evidence — reviews on TripAdvisor and Trustpilot, Reddit discussions, travel publication coverage, and structured data on your website. Brands with strong review signals, FAQ content that answers traveller questions directly, and broad third-party citation footprints are far more likely to be recommended. Our research found that 90% of UK travel brands received zero citations in Google AI Overviews.
How well do tourism brands perform in AI search?
Based on current data, most perform poorly. SearchIntel tested 21 major UK travel brands across ChatGPT, Claude, Gemini and Google AI Overviews. The average AI visibility score was 37 out of 100. Ninety percent received zero citations in Google AI Overviews. Even well-known operators with strong Google rankings were largely invisible to AI-generated travel recommendations.
Can I use AI tools to get personalised travel recommendations?
Yes. Tools like ChatGPT, Google Gemini and Perplexity now function as AI-powered travel search platforms. You can ask detailed questions — "best family beach holiday in Europe under 3,000 pounds in August" — and get personalised recommendations. However, the quality depends on which brands have built sufficient third-party authority for AI to trust and cite. Many strong travel brands are currently missing from AI answers entirely.
Why do AI travel recommendations keep changing?
AI models update their knowledge regularly, and the sources they draw from shift over time. A brand recommended today may not appear tomorrow if a competitor gains stronger review signals, fresher content, or more third-party mentions. This is why continuous monitoring matters. AI visibility is not a set-and-forget metric. Brands need to track their recommendation rate across platforms and respond to changes quickly.