I have been watching the travel industry for a long time, and I have never seen a shift quite like this one with the rise of using artificial intelligence for travel research and booking.
Over the past year or so, something fundamental has changed in the way travellers discover and book trips. More and more people are skipping Google entirely, they are skipping the OTAs and they are going straight to AI chatbots like ChatGPT, Perplexity, Claude, and Gemini and asking them to plan their vacations.
I have seen it firsthand. Friends ask me which hotel I recommend in Lisbon and instead of pulling up TripAdvisor, they open ChatGPT. Travelers in Facebook groups are asking AI for the best boutique hotels in Mexico or the most authentic food tours in Tokyo, and AI is responding with curated lists, specific recommendations, and direct links.
Here is what is exciting about this. For the first time in a long time, there is a real path for hotels and tour operators to bypass the OTAs entirely and get in front of travelers directly. The OTAs have dominated this industry for decades by controlling the distribution channel. They take 15 to 25 percent commissions on every booking, and hotels and operators have had no choice but to pay up if they wanted visibility.
AI changes that equation. When an AI chatbot recommends your hotel or your tour company, it is not sending the traveler to Booking.com. It is sending them directly to you. The AI does not care about your OTA commission structure. It cares about giving the traveler the best answer.
This is a significant opportunity, and it is happening right now while the channel is still relatively open. The OTAs are racing to lock up AI visibility just like they locked up search, but they have not done it yet. For local hotels and boutique tour operators, there is a genuine window to build presence in AI citations and capture high-intent travelers without paying enormous commission fees.
This guide is about that opportunity. I will walk through the data on how travelers are using AI for booking right now, what AI citations actually are, and exactly what local operators need to do to position themselves for direct bookings through AI platforms.
Table of Contents
The AI Travel Booking Revolution Is Happening Fast
Roughly 40 percent of travellers used AI-based tools for trip planning and booking in 2025.
About 80 percent of travellers say they are open to using AI for trip planning. And 48 percent have already interacted with an AI chatbot for travel assistance.
Among Millennials and Gen Z, AI usage rates for travel reach approximately 60 percent. The AI-in-tourism market was valued at roughly $3 billion in 2024 and is growing at high double-digit rates. Over 50 percent of travel companies had deployed or were piloting generative AI by 2025.
The direction is unmistakable. AI-assisted travel planning is not a future trend. It is the present.
The Discovery Layer For Travel Is Shifting
For decades, the travel discovery funnel looked predictable. A traveler would search on Google, browse an OTA marketplace, click through to a property website, and complete a booking.
AI is inserting a new layer between discovery and booking that changes everything. Now a traveler might ask ChatGPT for the best boutique hotels in Oaxaca or Perplexity for family-friendly tours in Lisbon. The model serves a curated answer, and those answers cite specific sources.
Getting cited is the new SEO ranking. It is answer engine optimization, and it is moving faster than most operators realize.
The OTA Threat Is Real, But So Is the Opportunity
Here is the nuance that matters for local operators. OTAs have a structural advantage in AI discovery. Large platforms like Booking.com and Expedia have massive structured inventories, rich metadata, millions of reviews, and deep SEO footprints.
LLMs tend to favour sources with high information density, verified behavioural signals, and machine-readable data. This is exactly what OTAs provide at scale. One analysis found roughly 68 percent of AI travel query results referenced OTA-controlled content. Independent boutique hotels appeared in top-five AI recommendations about four times less frequently than OTA-listed properties.
For independent hotels, OTA distribution share rose from 61.3 percent to 63.4 percent in 2025.
But here is the opportunity. The same dynamic means OTAs are paying a fortune to play in this space. The brands that figure out how to be AI-citable at the local level, without paying a 15 to 25 percent OTA commission, have a genuine cost advantage.
Some early data shows the direct-booking upside is real when operators get it right. A study of Google AI Mode found that 56 percent of observed booking flows completed directly with hotels and suppliers, while fewer than 10 percent were via OTAs. This happened because AI-ready supplier pages surfaced and converted directly.
That is a direct-booking conversion rate that OTAs can only dream of. The AI is sending high-intent travelers straight to the source, if the source is ready.
What AI Citations Actually Look Like
An AI citation is the specific web page, business profile, or structured data snippet that an LLM uses as a source when generating a travel recommendation. Think of it as a footnote in the AI answer, a link to your hotel, your tour page, or your Google Business Profile.
Research on AI visibility patterns shows that over 70 percent of AI citations go to intent-focused landing pages like bookable rooms, tour pages, and specific offers. Homepages are cited rarely, only about four to five percent of the time.
Blog and editorial content gets cited moderately, around 22 to 24 percent.
What this means is straightforward. AI is not citing your homepage. It is citing pages that directly answer what a traveler is asking. Your Deluxe Ocean View Room booking page. Your Lisbon Food Tour itinerary page. Your Policies and Amenities FAQ.
Your Google Business Profile Is Now an AI Storefront
Your Google Business Profile (GBP) is not just for local SEO anymore. AI systems use GBP as a primary structured data source for generating recommendations.
When Perplexity or ChatGPT needs to verify your hotel address, hours, rating, amenities, or booking link, it reads your GBP.
This makes GBP optimization a non-negotiable for AI-era visibility. The good news is that most local operators have not optimized theirs yet.
The Direct Bookings Optimization Playbook
Your GBP is the most important AI-citation asset you control. Complete every field, then do it again.
Fill out every available field including hours, services, amenities, booking link, and attributes like pool, pet-friendly, and free WiFi. Treat it like a structured database, not a social media post.
Upload 15 to 20 or more photos and videos and refresh them regularly. Visual freshness signals to AI that your business is active and trustworthy.
Populate the Q and A section with canonical answers to questions travelers actually ask. Things like do you offer early check-in and is breakfast included. Answer them directly and concisely.
Respond to every review within 24 to 48 hours. Review velocity and responsiveness are trust signals that feed into AI ranking logic.
Enable Google Business Messages for fast replies. Some AI systems factor response speed into entity quality scores.
Match your GBP data exactly to your website. The name, address, phone, categories, and attributes must be identical across your website schema and your GBP. AI cross-references these to verify entity consistency.
Build Intent-Focused Landing Pages For Travel
Stop treating your website like a brochure. AI is looking for pages that directly answer transactional intent.
Create specific, bookable landing pages for each offering. Individual room types, packages, and tour itineraries. These pages should include clear pricing, availability signals, amenity details, and a direct booking CTA.
Keep page depth shallow. AI citations favor pages reachable within one to three clicks from the homepage. Do not bury your booking pages under six levels of navigation.
Use page speed and mobile-first design as baseline requirements. AI crawlers and retrieval systems deprioritize slow or poorly structured pages.
Implementing Structured Data And Schema For Your Website
Structured data is how you speak directly to AI systems. Without it, you are invisible to the machine-reading layer.
Add Hotel, LocalBusiness, Offer, FAQPage, and Review schema to every relevant page on your site. This makes your inventory, prices, policies, and ratings machine-readable.
Cross-reference your schema with your GBP so the data is identical across both. AI verifies entity consistency across platforms before citing a source.
Use FAQ schema on Q and A pages so LLMs can extract and cite direct answers to common traveler questions.
Practice Answer Engine Optimization For Travel
AEO is the discipline of creating content that AI can cite directly. It is related to SEO but operates differently.
Write short, canonical answers of one to three sentences to the most common traveler questions. Things like what is the check-out time, is parking available, and do you allow pets. Put these in FAQ sections with clear, unambiguous answers.
Create pages that answer specific queries. Things like best honeymoon resort in Tulum, family-friendly tours in Kyoto, and luxury spa retreat near me. Write for the query, not for generic about us content.
Use natural language that matches how people actually ask questions. AI models are trained on conversational queries.
Build Cross-Platform Entity Consistency For AI
AI does not verify you from one source alone. It verifies you across ecosystems.
Maintain NAP consistency. That is Name, Address, and Phone. Across your website, GBP, Yelp, TripAdvisor, Apple Maps, Bing Places, Booking.com profile, and any local directories.
Industry guidance suggests consistency across at least 10 authoritative platforms before AI treats your entity as verified. Do not use different phone numbers or variations of your business name across platforms. Even minor inconsistencies can break AI entity resolution.
Offer Direct-Only Value That OTAs Cannot Match
The OTAs win on inventory breadth. You win on specificity and exclusivity.
Create direct-only packages. Things like stay three nights and get a free cooking class, or book direct for flexible cancellation. Put these exclusively on your website and make them visible in your structured data.
Publish unique experiential content that OTAs cannot replicate. Your staff favorite hidden-gem restaurant nearby, the story of how your property was restored, local guides written by your team. AI values distinctive, non-generic content.
Ensure your booking engine link is prominent on every AI-citable page. When AI recommends you, it needs a clear path to conversion.
Leveraging AI To Grow Your Tourism Business
The AI travel discovery layer is forming right now. The OTAs are moving aggressively to dominate it, which is why their distribution share for independent hotels is growing.
But the data also shows that when local operators get their AI infrastructure right, structured data, GBP optimization, intent-focused pages, and AEO content, the direct-booking payoff can be substantial.
The window is open. It is not guaranteed to stay that way. As AI systems become more sophisticated and OTA integrations deepen, the advantage for local operators narrows.
The operators who act now, optimizing for AI citations, building direct-booking bridges, and establishing genuine digital presence, are the ones who will capture high-intent travelers at a fraction of the OTA commission cost.
Start with your Google Business Profile. It is free, it is already an AI storefront, and most operators in your market have not optimized it yet.
I also a run a cultural ecotourism organization called Sacred Treks that helps people travel with a purpose on mindful trekking pilgrimages and connects them with the world's most knowledgable certified hiking guides.
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- 10 Best Ecotourism Certifications For Sustainable Tourism - March 15, 2026
