AI Overviews and Google AI Mode now dominate conversations across the SEO community. One trend already stands out: Search is evolving from an information retrieval tool to a recommendation tool.
For travel brands, this changes the rules of online discovery. The challenge is no longer just helping search engines understand your website. It’s helping AI systems understand when your business should be recommended.
How AI search has changed travel planning
Many users now spend substantial time every week interacting with large language models (LLMs). With LLMs, they can organize conversations by project and create folders for upcoming trips. They can also build on previous chats that already recognize their interests, travel preferences, and demographic profiles.
This marks a departure from the traditional search process. Historically, travel planning started with Google searches for topics like:
- “Hotels in Porto”
- “Things to do in Rome”
- “Best restaurants in Barcelona”
Today, this process is far more conversational.
Rather than typing a series of disconnected searches, a traveler might create a new folder called “Summer 2026” in ChatGPT and start with a broad question that gradually evolves into a complete itinerary. For example:
- “Where should I stay in Porto for a quiet weekend within walking distance of the historic center?”
- “Which area of Rome is best for families traveling with young children?”
What follows is an ongoing conversation that might expand into restaurant recommendations, attractions, accommodation options, transportation advice, and day-by-day planning.
When travelers ask AI assistants these questions, they aren’t looking for a list of websites. Instead, they’re looking for a recommendation.
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How AI Overviews impact the travel search experience
AI Overviews synthesize information from multiple sources and present users with curated recommendations rather than a collection of links. As a result, trust, consistency, and contextual understanding become critical visibility factors.
A hotel may influence a traveler’s decision through an AI-generated response without leading to an immediate website visit. The traveler’s next action may be a branded search, a visit to a travel review site, or a booking through an online travel agency (OTA).
To earn recommendations from AI models, your brand first needs to be clearly defined. AI must have confidence in who you are, what you offer, who you serve, and when your brand is relevant.
To do this, choose one primary category and one clear position for your brand. Invest in digital PR and earn mentions beyond your own website. Aim to be included in travel articles that cover topics relevant to your category.
Most importantly, ensure your business information is accurate, consistent, and easy to interpret across your website, Google Business Profile, TripAdvisor, OTA listings, and social media platforms.
Zero click doesn’t mean zero impact
The way we measure search performance is changing. Traditional SEO metrics still matter. However, travel marketers should start expanding how they measure visibility.
One of the biggest mistakes is assuming that fewer clicks mean less visibility.
A traveler may discover your property through an AI-generated response, search for it later, visit a TripAdvisor profile, or book through another channel.
This is why branded search growth is becoming a valuable signal of AI visibility. Travel marketers should also monitor AI mentions, citations, and assisted conversions.
Assisted conversions reveal the channels and touchpoints that influence a booking, even if they aren’t the final source of the conversion. You can monitor these conversions in Google Analytics 4 by navigating to Advertising > Attribution > Conversion Paths and Attribution Reports.
Why TripAdvisor and OTA listings provide semantic context for AI recommendations
TripAdvisor has become much more than a review platform. OTAs have become more than booking platforms.
When a user asks for recommendations, AI systems rarely rely on a single source. Instead, they build understanding by combining information from multiple platforms.
Your website is only one part of the ecosystem.
AI systems build confidence in recommendations by validating information across sources. What others say about your brand in reviews, travel guides, media mentions, OTA listings, or local citations increasingly matters. In many ways, this is simply online reputation at scale.
This additional context helps AI models determine when a property is relevant for specific traveler needs, such as:
- Family-friendly.
- Popular with business travelers.
- Located in a walkable area.
- Known for exceptional dining.
- Better suited to luxury or budget travelers.
How to differentiate your travel brand
A family-friendly hotel should consistently highlight family rooms, kids’ activities, children’s pools, and family-focused reviews. A romantic hotel should reinforce signals like couples’ stays, intimate atmospheres, spa experiences, and special-occasion packages.
Likewise, a business hotel should emphasize meeting rooms, workspaces, fast Wi-Fi, and proximity to business districts. A restaurant known for exceptional dining should earn reviews, media mentions, and third-party recommendations that consistently reference its food, chef, or culinary experience.
Many businesses naturally fit into more than one category. However, the clearer your primary positioning is, the easier it becomes for generative search engines to identify when your brand is relevant and should earn a recommendation.
The same principle applies to destinations. Generative search engines rely on signals across review platforms, travel guides, local listings, and publisher content when recommending where travelers should stay, visit, or explore.
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3 practical ways to strengthen entity signals across platforms
As AI systems become more reliant on entities rather than individual webpages, travel businesses need to focus on creating a clear and consistent digital footprint.
1. Use structured data to clarify business attributes
Structured data helps search engines and AI models interpret key business information. For travel brands, this type of data includes accommodation types, amenities, locations, and other business details.
Highlight the attributes that differentiate your property. That might include family-friendly facilities, wellness experiences, exceptional dining, pet-friendly accommodation, or proximity to major attractions.
The clearer and more structured your information is, the easier it becomes for AI-powered experiences to surface your business in relevant recommendations.
2. Eliminate entity ambiguity across platforms
Review what third-party sources say about your brand across the web. Look for conflicting information. AI search experiences pull information from multiple sources, and inconsistencies can reduce confidence in your brand.
Imagine a hotel with different phone numbers, outdated descriptions, inconsistent categories, or conflicting amenity information across various platforms. This is exactly the kind of ambiguity AI systems struggle with.
Maintain consistent information across your website, Google Business Profile, TripAdvisor listings, and OTA profiles to reduce ambiguity and strengthen confidence in your business data.
3. Prioritize operational business information
Start by auditing your existing customer reviews.
- What did they enjoy most about their stay?
- What made their experience memorable?
- What would they improve?
Constructive feedback is a fast and easy way to identify what truly differentiates your brand from competitors. Details like amenities, accessibility features, opening hours, parking, and pet policies help AI systems answer specific travel queries.
Google Business Profile is another critical source of operational information. The categories, attributes, amenities, and opening hours listed on your profile help AI models answer travel queries with greater confidence.
If you need to provide additional context, Google Business Profile allows you to publish posts linking back to relevant content on your website. Regularly publishing Google Business Profile posts can help drive engagement, profile visits, and customer interactions while keeping your listing updated with fresh content about your products, services, events, and offers.
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Build the signals AI systems trust
Generative search is more democratic than traditional search. AI models recommend businesses, not websites. Visibility is no longer shaped exclusively by what happens on your website. It’s shaped by the broader digital footprint your brand has built across the web.
For travel brands, that means thinking beyond rankings and clicks. Reviews, OTA listings, travel guides, media mentions, and business profiles all contribute to how AI systems understand your brand and when they recommend it.
It’s time to be creative, experiment, and build partnerships with complementary businesses. Most importantly, it’s time to build the signals AI systems trust.
Contributing authors are invited to create content for Search Engine Land and are chosen for their expertise and contribution to the search community. Our contributors work under the oversight of the editorial staff and contributions are checked for quality and relevance to our readers. Search Engine Land is owned by Semrush. Contributor was not asked to make any direct or indirect mentions of Semrush. The opinions they express are their own.
