AI Decides Which Travel Brands Get Recommended

When travelers ask AI where to go and what to do, is your brand in the answer?

The Challenge

Destination queries are moving to AI

When someone asks "things to do in Barcelona" or "best family resorts in Portugal," AI platforms give direct answers. The brands in those answers win consideration. The rest become invisible. Learn why brands don't show up in AI answers.

OTAs and aggregators dominate

AI platforms heavily cite TripAdvisor, Viator, GetYourGuide, and Booking.com. Direct suppliers, hotel groups, and DMOs often don't appear at all.

Reviews drive recommendations

AI systems pull from review sites, Reddit, and editorial publishers. Your own website content may not be in the citation set.

Every market is different

A query in German returns different recommendations than the same query in English. Most brands only track one market.

Same question. Different winners.

Each AI platform recommends different brands for the same travel query.

"Best things to do in Barcelona"
Platform Brand recommended Source type
Google AI Overview
Viator Editorial publisher
ChatGPT
GetYourGuide Review aggregator
Claude
TripAdvisor User reviews
Gemini
Airbnb Experiences Product listings

Your brand? Not in the answer.

84%
of citations in ChatGPT, Claude and Gemini are earned media
Muck Rack, 2026
Nearly 9 in 10
AI-using travellers in the UK, France and Germany say AI shaped a trip decision
Phocuswright, 2026
4
platforms with different recommendations
6
markets we track with native-language prompts

How We Help Travel Brands

Visibility intelligence built for how travelers actually search.

Destination Visibility Tracking

Track how your brand appears for "things to do in [destination]" queries across AI platforms.

50+ destinations tracked

OTA Competitive Analysis

See how you compare to Viator, GetYourGuide, TripAdvisor, and direct competitors.

Benchmark against top 10 OTAs

Tour & Experience Optimization

Understand which of your products get recommended, which don't, and why.

Product-level visibility data

Multi-Market Monitoring

Track visibility in UK, US, Germany, France, and more with native-language prompts.

6 markets, local language

What We're Seeing in Travel AI Search

1

84% of citations across ChatGPT, Claude and Gemini come from earned media rather than brand websites (Muck Rack, 2026). In travel, this means TripAdvisor, editorial publishers, and Reddit dominate.

In a survey of 6,000 consumers across nine markets in Asia, Europe and the United States, reported in September 2026, 81.3% said they already use AI-powered tools to explore destinations, about 73.2% said they were open to AI hotel or flight booking over the next 12 months, and 26% expressed interest as AI moves toward autonomous payment decisions (Alipay+ and S&P Global survey, reported by TechNode Global, 2026). These are self-reported behaviours and intentions from a commercially sponsored study, not observed bookings. On those figures, discovery is where travellers already use AI, and willingness falls as the tool gets closer to the transaction. For a travel brand the measurement question follows: are you present at the discovery step, where the volume is, before anyone gets to a booking?

2

"Best [activity] in [destination]" queries almost always return OTA recommendations over direct suppliers.

3

Review volume and recency matter. AI platforms favor sources with fresh, high-volume user content.

4

Google AI Overviews and ChatGPT cite different sources for the same travel query. Optimising for one doesn't guarantee visibility in the other.

Built by Someone Who Knows Travel

SearchIntel is founded by Paul Byrne, who has worked with travel brands including American Express, American Airlines, and Octopus Travel, bringing 20 years of search strategy experience to the sector.

Travel AI Visibility Research

Our travel research comes from the Answer Economy Tracker: the same 20 travel questions asked every week to six AI engines, looking at how the answers behave rather than ranking companies.

Answer Economy
Tracker: travel
Weekly data collection

Travel research

First edition October 2026

How AI travel recommendations move from week to week and differ between engines, from a fixed set of travel questions that never name a brand.

See our research

Coming soon:

  • Destination-level deep dives (Barcelona, Lisbon, London)
  • OTA citation source analysis
  • Multi-market visibility comparison (EN vs DE vs FR)

Find out where travelers are discovering your competitors instead of you.

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