Half of UK travelers now use AI to plan trips. Your hotel probably isn't in the results.
As AI reshapes the travel landscape, independent hotels are missing out. Here is why your property isn’t appearing in search results and how to reclaim your digital presence.
TLDR
- 52% of UK travelers rely on AI for trip planning, yet most independent hotels remain invisible to these tools. Luxury brands and major chains currently capture the vast majority of mentions.
- Action items for this quarter: Audit your current AI visibility, fully optimize your Google Business Profile, and train staff to track AI-driven guest inquiries.
According to recent reporting from HospitalityNet, 52% of UK travelers now use AI for trip planning. Despite this, most hotels are invisible to AI-powered recommendations. When travelers ask, "where should I stay in [city]?," the results overwhelmingly favor major luxury brands and chains.
Guest research has shifted, but hotel visibility has not.
AI recommends what it can verify
The visibility gap isn't a case of AI bias; it is a failure of data structure.
AI models like ChatGPT, Gemini, and Perplexity rely on verifiable data points: Google Business Profiles, robust review history, and clear website schema markup. A boutique hotel with limited reviews and a legacy website often lacks the "confidence score" these models require to generate a recommendation. Conversely, major brands consistently appear because they treat their Google Business Profile as a primary data source and maintain websites optimized for machine-readability.
The 2012 Google Maps precedent
The industry has been here before. Between 2012 and 2014, hotels that fully populated their Google Business listings captured a multi-year visibility advantage that competitors struggled to close.
The shift to AI travel planning is moving faster: UK AI tool usage jumped from under 20% to 52% in just 18 months. Independent hotels waiting for "best practices" to settle will miss the first-mover advantage. Similarly, Airbnb leveraged structured listing data in 2016–2017 to dominate voice search—a pattern currently repeating with generative AI.
The cost of skepticism
HospitalityNet reports that commercial leaders are largely resisting AI adoption. While "AI fatigue" from trade conferences is a reasonable driver of skepticism, it creates a strategic blind spot. There is a critical distinction between adopting AI for internal operations and ensuring your property shows up when a guest asks, "where should I stay in Bath?" Guest behavior has already shifted; visibility strategies must follow.
Three steps for this quarter
- Audit your visibility: Ask ChatGPT, Claude, Gemini, and Perplexity to recommend a boutique hotel in your city. If you don't appear, you have confirmed the gap. If you do, verify that the AI isn't hallucinating details about your amenities.
- Optimize your Google Business Profile: This is your highest-leverage action. Ensure every field—hours, amenities, photos, descriptions—is complete and accurate. This data feeds directly into the AI discovery layer.
- Brief your front desk: A growing number of direct bookings now originate from AI-assisted research. Train staff to ask, "Which AI tool did you use?" to gather intelligence on which platforms are driving awareness and what terminology is working.
Sharon Biggar is a lifecycle marketer and content writer specializing in hospitality technology, revenue management, and the hotel industry. She writes practical, research-backed articles that help hotel owners make smarter commercial decisions and stay ahead of emerging trends.
