How Tour Operators and Travel Agencies Get More Bookings via AI Search Engines

Travel companies that add generative engine optimisation to their existing SEO strategy today are building a compounding advantage: every citation earns more brand authority in the AI's training data, which leads to more citations in the future.

How Tour Operators and Travel Agencies Get More Bookings via AI Search Engines

Liviu Runcan

Published On
March 27, 2026
4
Min read time

The days when users typed "best hotels London" into Google and clicked through 10 blue links are fading fast. While Google remains the dominant search engine, a growing number of consumers now open ChatGPT, Gemini, or Perplexity and type a full conversational request:

"Plan a 3-day itinerary for a family of four in London near Hyde Park, focusing on eco-friendly accommodation and activities for toddlers."

In seconds, AI assembles them a tailored answer, complete with accommodation names, tour suggestions, and booking links. If your travel company is not part of that answer, you haven’t just lost a click; you’ve lost the customer before they ever visit your website.

According to an Accenture study of 18,000 consumers across 14 countries, 80% of travellers now use generative AI tools during trip planning, and over half are willing to let AI fully manage their planning and bookings. For tour operators, OTAs, and DMCs, this represents the biggest expansion in travel distribution since the rise of Google itself.

The practice of optimising your content to appear in AI-generated answers is called Generative Engine Optimisation (GEO). It does not replace traditional SEO, it builds on top of it. Think of GEO as an additional layer that ensures your content is not only indexed by Google, but also understood, trusted, and cited by Large Language Models (LLMs) like ChatGPT, Gemini, and Perplexity.

This guide explains what GEO means for the travel industry, why AI-referred traffic is more valuable than generic organic visits, and exactly how you can add GEO to your existing SEO strategy to win citations across all major AI search platforms.

💡 Want to see where your travel brand stands in AI search today?
Get your free AI Search Analysis → and discover how ChatGPT, Gemini, and Perplexity currently see your company.

What Is Generative Engine Optimisation (GEO)?

Generative Engine Optimisation (GEO) is the practice of structuring and optimising digital content so that AI-powered answer engines, such as ChatGPT, Google Gemini, Perplexity, and Google AI Overviews, can understand, trust, and cite it in their responses to user queries.

GEO does not replace SEO. Instead, it adds a new dimension to your existing search strategy:

  • SEO ensures your pages are indexed and ranked by traditional search engines
  • GEO ensures your content is selected and cited when AI models generate answers

Both work together. Strong SEO fundamentals (site speed, clean architecture, quality backlinks) remain essential. They signal authority to AI models just as they do to Google's algorithm. GEO layers on additional practices that make your content machine-readable, quotable, and trustworthy for LLMs.

GEO vs. SEO: A Side-by-Side Comparison for Travel Companies

Traditional SEO GEO (Additional Layer)
Discovery trigger Keyword query
"cheap flights NYC"
Conversational prompt
"Plan a budget trip to NYC for a couple in March"
Ranking signals Backlinks, keyword match, domain authority Source credibility, structured data, topical authority, brand mentions
Traffic behaviour Browsing and comparing Verifying and booking (high intent)
Content format Keyword-optimised pages and blog posts Q&A, itinerary-style answers, schema-rich product pages
Freshness Critical ranking factor Helpful but secondary to accuracy and completeness
Relationship Foundation of discoverability Builds on SEO to capture AI-driven demand


Key takeaway: GEO is not a replacement for SEO, it is the next evolution. Travel companies that add GEO to their SEO strategy will capture visibility in both traditional search results and AI-generated answers.

🔍 Curious how your brand performs across AI search engines? Run your free AI Search Analysis, it takes less than a minute and covers ChatGPT, Gemini, Perplexity, and Google AI Overviews.

Why AI-Referred Traffic Converts Better Than Organic Search

A common concern is that AI "steals" traffic by answering questions directly. The data paints a more nuanced picture.

According to Similarweb's 2025 Global Ecommerce Report, the conversion rate for visits referred by ChatGPT is 11.4%, compared with 5.3% for traditional organic search more than double. While this data covers ecommerce broadly (not travel exclusively), the pattern holds across verticals: AI-referred visitors arrive with higher intent.

The reason is straightforward. By the time a traveller clicks a citation link inside ChatGPT or Perplexity, they have already:

  1. Described their exact requirements (destination, dates, budget, group size, preferences).
  2. Refined their criteria through follow-up prompts.
  3. Received a curated recommendation from the AI.

When they land on your website from AI, they are not browsing. They are in verification mode, checking photos, confirming availability, and looking for the "Book Now" button. You are receiving fewer window-shoppers and more ready-to-book travellers.

Meanwhile, SparkToro and Datos' 2024 zero-click study found that only 360–374 out of every 1.000 Google searches result in a click to the open web, reinforcing that the traffic you do capture from AI citations is increasingly valuable compared to traditional search.

But high-intent traffic only converts if your brand delivers the experience travellers now expect: instant, personalized responses across every channel they use. A visitor who arrived via an AI recommendation and has to wait 24 hours for an email reply will simply book with a competitor who responded in seconds.

The Travel GEO Playbook: 5 Tactics to Win AI Citations

Earning a citation in an LLM-generated answer requires specific tactics that complement your existing SEO efforts. Here are five proven strategies for travel companies.

1. Structure Your Data So AI Can Read It

LLMs favour content that is detailed, unambiguous, and machine-readable. Vague marketing copy like "We offer luxury accommodation" is invisible to them.

Be specific. Replace generic descriptions with precise, verifiable details:

  • ❌ "Great views from every room"
  • ✅ "South-facing rooms on floors 8–12 with direct views of the Eiffel Tower, available from 120 euros per night including breakfast"

Implement schema markup (JSON-LD)
Structured data tells AI engines explicitly: this is a price, this is a departure date, this is a cancellation policy. For tour operators and accommodation providers, the most impactful schema types are:

  • TouristTrip and TravelAction — for tours and experiences
  • LodgingBusiness — for accommodation providers
  • Offer (with price, priceCurrency, availability) — for bookable products
  • Review and AggregateRating — for social proof
  • FAQPage — for Q&A content

When the AI can parse your data cleanly, it is far more likely to surface your brand in a recommendation.

2. Build Niche Topical Authority

Generalist content is hard to rank in AI search because the LLM already "knows" general information. To win citations, you need unique, proprietary insights that the AI cannot easily find elsewhere.

Example: Instead of publishing "A Guide to Rome," create "The 2026 Guide to Rome's Hidden Underground Tours for History Buffs", complete with insider tips, pricing, seasonal availability, and first-hand descriptions.

When a traveller asks Perplexity a hyper-specific question, the AI looks for the most authoritative and specific source. If that source is your website, you win the citation in both AI answers and Google's traditional results.

Practical framework:

  1. Identify your top 10 experiences or destinations
  2. For each, write a long-form Q&A page that answers the 15–20 most common traveller questions
  3. Include specific pricing, seasonal tips, and original photography
  4. Update these pages quarterly with fresh data

3. Deliver Instant, Always-On Customer Experiences That Build Your Reputation

AI models are trained on publicly available internet data including TripAdvisor reviews, Trustpilot ratings, Reddit threads, travel forums, and press coverage. Your brand's digital reputation directly influences whether an LLM recommends you. But here's what most travel companies overlook: the customer experience itself is what drives those reviews.

A traveller who gets an instant, helpful reply at 11 PM on a Sunday is far more likely to leave a glowing 5-star review than one who waited two business days for a generic response. In 2026, response time is reputation.

If your average rating on review platforms is below 4.0, AI engines are significantly less likely to position you as a "top-rated" or "recommended" option. And the fastest way to improve those ratings? Be available where your customers already are, instantly. Use an AI agent built for travel like Maya to act like a digital 24/7 concierge, always available, on your website, WhatsApp and social media channels. 

Action steps:

  • Respond instantly, 24/7, on every channel. Today's travellers expect real-time answers on WhatsApp, Facebook Messenger, and Instagram. If a potential customer sends you a DM at midnight asking about availability, they need an answer now, not tomorrow morning. Companies that offer instant replies across messaging platforms see dramatically higher satisfaction scores.
  • Encourage satisfied customers to leave detailed reviews that mention specific aspects of their experience (e.g., "I messaged them on WhatsApp at 10 PM and got a personalised itinerary within minutes" rather than "Great tour"). These detailed, channel-specific mentions help AI understand what makes your service exceptional.
  • Monitor and respond to negative reviews promptly, LLMs weigh recency and sentiment. A quick, empathetic response to a complaint signals to both AI and future travellers that you care.
  • Seek brand mentions in travel media, podcasts, and industry publications, even unlinked mentions build AI credibility (unlike traditional SEO, where only hyperlinks count).


💬 Not sure if your brand's online reputation is helping or hurting your AI visibility?
Get your free AI Search Analysis to see how AI models currently perceive your travel brand, including sentiment and citation frequency.

4. Write Content in a Conversational, Q&A Format

AI assistants are designed to answer natural-language questions. Content structured as Q&A, FAQs, and step-by-step itineraries is inherently easier for LLMs to parse and cite.

Reframe your existing content to match how travellers ask questions:

  • ❌ "Bali Climate Overview" (keyword-style heading)
  • ✅ "When Is the Best Time to Visit Bali for Families with Young Children?" (conversational heading)

This approach benefits both SEO (Google's "People Also Ask" feature) and GEO (AI citation matching). Pages that mirror real traveller questions are more likely to be pulled as direct quotes or recommendations by LLMs.

5. Keep Travel Offers Up to Date

In traditional SEO, freshness is a critical ranking factor. In AI search optimisation, freshness plays a supporting but still important role. LLMs prioritise accuracy and completeness over update frequency.

That said, outdated pricing, discontinued tours, or incorrect availability will erode trust, both with the AI and with the high-intent visitor who clicks through.

Best practice: Keep structured product data (prices, dates, inclusions, cancellation policies) current at all times. For editorial content, aim for quarterly reviews rather than constant rewrites. This supports both your SEO freshness signals and your GEO accuracy requirements.

Converting AI-Referred Visitors: From Citation to Booking

Winning the AI citation is only half the equation. Converting the high-intent visitor who clicks through is where revenue is generated.

The traveller arriving from an AI recommendation is in verification mode. They already trust the AI's suggestion now they need your website to confirm it. If they encounter a slow page, a confusing layout, or pricing that contradicts what the chatbot told them, trust evaporates instantly.

Conversion checklist for AI-referred traffic:

  • Visual validation: Do your hero images and accommodation photos match the quality the AI implied?
  • Speed: Can the visitor find the "Book Now" button within 5 seconds of landing?
  • Price transparency: Is your pricing consistent with what AI platforms display? Discrepancies kill conversions.
  • Mobile-first design: The majority of AI-assisted searches happen on mobile devices.
  • Social proof above the fold: Surface review scores and testimonials immediately to reinforce the AI's recommendation.
  • Instant conversation on arrival: Offer a live chat or messaging option (WhatsApp, Facebook Messenger, Instagram) so visitors can ask last-minute questions without leaving the page. A traveller in verification mode who can get a quick answer, "Yes, that suite is available for your dates", converts on the spot. A traveller who has to fill in a contact form and wait may never come back.

Get your free AI Search Analysis for your travel company → See exactly how your brand performs across ChatGPT, Gemini, Perplexity, and Google AI Overviews, and receive a prioritised action plan to turn AI conversations into real-world bookings. No credit card required. Results delivered in seconds.

Looking to engage more AI search traffic to your booking pages? 

At Maya, we empower travel companies with conversational AI agents developed specifically for the travel industry that 5x their website visitor conversion rate. Schedule a consultation session with one of our AI experts.