AI in Tourism: How to Use AI on Websites

AI in tourism refers to the use of AI-powered assistants, search functions and messenger integrations on the websites of tour operators and travel agencies. The goal is to make complex travel products explainable around the clock, reduce consultation bottlenecks and increase conversion rates – without proportionally more staff.

A trip to Crete, two weeks, half board, departure Hamburg, two adults and one child under three years old – no problem. But then come the real questions: Is the beach within walking distance? Are baby cots available on request? What does an upgrade to all-inclusive cost? Can you switch to a different hotel after booking?

In tourism, that is not the exception, it is the norm. Travel products are among the most complex purchasing decisions people make online. More variables, higher budgets, higher emotional expectations than almost anywhere else. The classic website – with search filters, offer pages and contact forms – is structurally underpowered for this complexity.

A growing part of the industry has taken a different path. And this article shows how.

1. Why tourism websites especially benefit from AI

Three structural characteristics make travel products an ideal use case for AI on websites.

High complexity. A travel booking includes destination, period, departure airport, travelers, room type, board type, activities, entry requirements and price options. No static FAQ covers this combinatorial complexity. AI can.

Emotional charge. For most people, vacation is one of the most personal purchasing decisions of the year. Customers do not want to search – they want to feel understood. An AI assistant that answers precisely and advises individually builds that trust. Faster than any hotline, around the clock.

Information asymmetry. Tour operators know their products better than any customer. The problem: this knowledge is stored in PDFs, databases and the heads of advisors – not on the website. AI translates this knowledge into relevant answers in real time: individual, scalable, without waiting time.

The result of the status quo: hotlines are overloaded with questions a good website could answer. Booking abandonments happen not because of missing products, but because of unanswered questions. And the next click goes to the competitor.

According to branchly data from over 40 million processed AI sessions, AI assistants as a widget achieve an interaction rate of 5–10 % – compared to 0,5–1 % for classic chatbot solutions. Embedded directly in pages, the values rise to 45–50 %.

2. Practical example: AI as a digital advisory layer

A tourism company that sells package holidays – from cruises through round trips to city breaks – via its website has consistently relied on AI as a digital advisory layer. Rather than optimizing a single touchpoint, it implemented a complete strategy across website and messenger channels.

AI chat, sitewide and based on live data. The AI chatbot is not limited to a single page. It is available across the entire website – home page, destination pages, offer pages, booking flow. What distinguishes it from a classic chatbot: through a direct API connection, it accesses the current product portfolio in real time. Travel offers, availability, prices – the assistant always responds based on the actual live inventory.

Contextual question suggestions. Instead of starting with an empty text field, the assistant offers three question suggestions when the chat opens – tailored to the page the user is currently on. Someone visiting a cruise page sees different suggestions than someone on the booking flow. This feature is extremely well received: it lowers the barrier significantly and directs users straight to the questions they were going to ask anyway.

Visual results with carousels and cards. When a customer asks, “Show me family trips to Greece in July for under 3,000 euros,” the assistant does not reply in pure text. It shows results as interactive cards in carousel format: travel image, destination, price, period, direct link to the booking page. The path from question to booking is reduced to just a few clicks.

Form in chat with ticket system integration. When an inquiry requires human handling – for example, special requests, complaints or complex tailor-made trips – the assistant opens a structured contact form directly in the chat. The completed data is automatically transferred as a ticket into the existing CRM or helpdesk system. No channel break, no duplicate data entry, no lost inquiries.

AI search with semantic understanding. In parallel with the chat, there is an AI-powered search that is not based on keyword matching, but understands what the user means. “Affordable family trip Mediterranean” finds relevant results even if none of the products uses that exact wording. This increases the hit rate and reduces zero-result frustration.

WhatsApp for Business via API. The AI assistant does not end on the website. Through API integration in WhatsApp for Business, the same assistant is accessible in the familiar messenger environment. Customers ask questions, receive offers, get advice – without app download, without login, without forms. Especially for mobile users and older target groups, WhatsApp is the preferred channel.

3. The AI building blocks in detail

Chat with API data connection and visual results

The central difference from a conventional AI chatbot is the live data connection. Static knowledge bases become outdated – especially in tourism, where prices, availability and offers change daily. An API connection to the product system ensures that the assistant always responds with up-to-date information.

The visual presentation of results is not a convenience feature, but a conversion measure. Text describes an offer. A card with image, price and direct link activates it. The cognitive effort for the customer decreases – the likelihood of booking increases.

Contextual question suggestions

When opening the chat, the user sees three question suggestions – not generic placeholders, but page-specific entry points compiled based on the most common requests for exactly this URL. On the cruise overview page, these could be: “Which cruises still have cabins available in July?”, “Are there cabins for solo travelers?” or “What is included in the cruise price?” On the booking flow, however: “Can I still add extras after booking?”, “How does the deposit work?” or “What happens in the event of cancellation?”

The result: users who otherwise would not have opened the chat click on a suggestion – and are immediately in conversation.

Form in chat and ticket system integration

Not every inquiry can be resolved autonomously. For cases that require human handling, the assistant opens a structured contact form directly in the chat window – name, email, booking number, concern. The customer stays in the familiar interface, with no channel switch and no need to search again for a contact email address.

The completed data lands automatically as a ticket in the existing helpdesk or CRM system. The team immediately sees the context from the chat history – and does not have to ask for information twice. Especially relevant for complaints, rebooking requests and special requests with high advisory effort.

AI search

Hybrid AI search combines semantic understanding with classic keyword search. Users who search vaguely are still led to the right result. Users who type in specific product numbers or destinations get precise matches. No either-or.

Another advantage: search data show in real time which terms and requests customers are making – including the questions that previously had no answer. This is product feedback and content strategy in one.

WhatsApp for Business

WhatsApp has a usage penetration of over 80 % in Germany. It is the channel where customers already communicate – with friends, family and increasingly also with companies. A WhatsApp integration does not mean building a new channel. It means making the AI assistant available where the customer already is.

Technically, this runs on the same knowledge base and API connection as the website chat. The channel switch is a frontend issue, not new infrastructure.

4. Setup in practice: step by step

Anyone who wants to implement the same approach does not need a year-long plan. But they do need a clear sequence.

Step 1: Define the data base. Before AI can answer, it must be clear what it is answering from. In the tourism context, this includes: product catalog (trips, destinations, hotels), price and availability data via API, travel information, entry requirements, FAQ content from the support area. The data source must be structured and current. Garbage in, garbage out – the principle applies to AI as well.

Step 2: Configure live API integration. For dynamic product data, a live API is indispensable. Static data imports quickly become outdated and create trust that is then destroyed by incorrect statements. The API ensures that prices, availability and offers are always current – without manual maintenance effort.

Step 3: Roll out chat sitewide. The assistant does not belong on a single landing page. Customers ask questions everywhere – while exploring a destination, comparing a hotel or in the booking process. A sitewide setup ensures that the assistant is available exactly when the purchase decision is made.

Step 4: Generate question suggestions per page. Have AI generate three contextual question suggestions per URL. The basis for this is the most common inquiries from other users on these pages and your system prompts. These suggestions measurably lower the barrier to entry and increase chat usage.

Step 5: Set up visual response formats. Text alone is not enough for travel products. Define templates from the start for the most important response types: travel suggestions as carousel cards, hotel information with image galleries, availability notices with direct links. These formats only need to be built once and linked to the API fields – afterward they fill themselves automatically.

Step 6: Connect the contact form and ticketing system. Set up a structured contact form in chat and connect it to your existing helpdesk or CRM. Define clear triggers: for which topics, after how many conversation rounds or based on which keywords the form appears. The chat history is automatically transferred – the agent sees the context without having to ask again.

Step 7: Integrate AI search. Search and chat are complementary, not competing. Some customers type directly into search, others ask questions in chat. Both channels benefit from the same knowledge base and the same product data.

Step 8: Turn on the WhatsApp channel. Using the API, the WhatsApp for Business API can be connected relatively quickly. Technically, the website chat and WhatsApp assistant share the same knowledge base and API integration. Setup is a frontend step, not a new platform.

Step 9: Refine the handover logic. AI answers most standard questions autonomously. But there are situations in which human advice is better: complex tailor-made trips, complaints, special requests with high budgets. Define clear handover triggers – by topic, conversation length without a resolution, or explicit customer request. This relieves the team without creating bad experiences.

5. Scale efficiently: AI as the operating system of advice

The basic setup is just the beginning. The value comes from continuous development.

Use conversation data. Every request is valuable feedback. Which destinations are requested most often? Which questions remain unanswered? Which conversations end without a booking and why? These data improve the assistant – and provide clues about gaps in the product portfolio and content offering.

Plan for seasonal adjustments. Tourism is seasonal. Summer, winter and Christmas trips, last-minute waves, early-bird promotions – the assistant should be proactively aligned with these cycles. That means: add new content, update answer templates, adjust priorities in the carousel.

Test proactive outreach. Instead of waiting for customers to open the chat, the assistant can proactively offer relevant information – after a certain dwell time on a product page or when leaving the booking form. Exit-intent workflows in chat can measurably reduce abandonment rates.

Introduce personalization. Users who are logged in or recognized can receive more relevant answers because the assistant knows their booking history context. Even without login, light personalization via session context is possible – someone who has viewed three pages about Sardinia gets different context than someone who has just arrived.

Check channel expansion. After website and WhatsApp, there are other channels: Instagram Direct Messages, email automation, app integration. Each additional channel increases reach without requiring linearly more staff.

Frequently asked questions about AI in tourism

What does an AI assistant cost for a tourism company?
The costs depend on the number of active sessions. branchly offers modular packages – an initial orientation meeting is free.

How long does implementation take?
An initial setup with AI chat and a static knowledge base is live within a week. Live API integration and visual result formats come in phase two. The rollout is iterative – not everything has to be there from day one.

Can the assistant also be reached via WhatsApp?
Yes. The branchly AI can be integrated via the API into the official WhatsApp Business API. Website chat and WhatsApp share the knowledge base and API integration. The channel switch is a frontend step, not a new platform.

What is the difference between AI chat and a classic chatbot?
Classic chatbots follow predefined decision trees and can only answer exactly prepared questions. An AI assistant understands natural language, accesses live data and can answer complex, multi-step requests – even those that were never explicitly entered.

Summary

Tourism is one of the most complex purchasing processes in digital commerce. Customers have many questions, high expectations and little patience for generic answers. The classic website cannot structurally meet this expectation – AI can.

Customers like RIW Touristik show what this looks like in concrete terms: an AI assistant that is available sitewide, makes it easier to get started with contextual question suggestions, answers with live data, delivers visual results, passes inquiries seamlessly to the ticket system, integrates AI search and is reachable via WhatsApp. The result is not a better contact form – it is a digital advisory layer that works around the clock, scales and gets better with every conversation.

Getting started does not begin with perfect infrastructure. It begins with the question: Where are you currently losing customers who were actually ready to buy? Schedule a free demo appointment and find out.