AI for Tour Operators: What Your Company Should Get Ready For
Last updated
31 May, 2025

Artificial Intelligence for Tour Operators: What Your Travel Business Needs to Know (and Do) Now

Home Blog Artificial Intelligence for Tour Operators: What Your Travel Business Needs to Know (and Do) Now
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The world of artificial intelligence for tour operators is not what it used to be. Gone are the days of simpler, happier times of pre-2023, when the only basic choice you had was either to introduce the latest large language model (LLM) from OpenAI or to have your AI solution developed by a tech company.

Now we have the entire family of LLMs from Anthropic, Google introducing new AI features and implementing its Gemini everywhere from smartphones to cars, and China making waves in the global tech community with its cost-effective DeepSeek. The AI landscape of today is a competitive field for tech providers, with new AI capabilities and new AI models hitting the headlines as you read this sentence. The challenges resulting from the breakneck speed of AI adoption are both internal and external, as you must not only implement an AI tool for your own business but also adapt to existing AI solutions, such as AI Overviews, to ensure your brand’s visibility.

In this article, we are attempting to make a snapshot of recent advancements in AI for the tour operator business. We will start our AI-themed journey with the summary of the latest presentation from Google and guide you through the possible measures you can take to compete in the environment where your rivals are both your peer travel companies and AI algorithms. Additionally, we’ll talk about some promising use cases for tour operators and what defines the choice of an AI tool for businesses like yours. Read on to gain a deeper understanding of a technology that few people fully understand.

Dimitry from GP Solutions

Adding AI for tour operators can be a mess. Let pros do the job for you!

Dimitry
Business Development Expert

How Is Google Reshaping the Travel Business with Tech?

To grasp the sheer scope of technological advancements lately, let’s have a look at the key takeaways from Google I/O 2025, Google’s biggest developer conference held in May, in the context of AI for the tour operator business.

AI Mode and Deep Search

One thing is crystal clear from this conference — we are moving from traditional typing of our questions in search engines towards an AI-powered future of search. We no longer need ten blue links in search results because AI can summarize and synthesize the answer we are looking for. And that AI response will increasingly impact what will be promoted and booked. Since the emergence of online booking, this is probably the biggest shift for tour businesses.

More than 1.5 users are now using AI Overviews, with the service available in 200 countries and territories. The feature will soon be extended with AI Mode, where travelers will be able to input longer and more complex queries. AI Mode will be available as a separate tab next to the regular tabs, such as All, Images, and Video.

AI Overviews in Action

AI overview presenting a list of tour operators in response to a query

This shift signals the end of the era of the “top ten links” in favor of a single output considered by Google to be “the truth.” Now imagine how it will be both challenging and rewarding to land on that AI Overview field. Content clarity, structure, visual appeal, and general quality now will have to serve both regular humans and AI algorithms to catch their attention.

If AI Mode alone is not enough of a challenge for you, how about Deep Search? With this feature, Google is adding personalization to AI Mode. If a user connects to other apps in the ecosystem (Google Docs or Gmail), the AI-driven search mode can have access to personal documents and be able to provide individualistic responses.

Agentic AI

Project Mariner, an AI agent by Google, is designed to “interact with the web and get stuff done.” The potential of this AI for tour operators is currently vivid through its agentic checkout feature. Imagine your potential traveler has been looking for a tour but decides not to proceed; the agentic checkout functionality will monitor the price, and if there is a price drop, it can notify your traveler to buy the tour with just one tap.

From Research to Booking within One Window

With AI Mode further evolving, AI will remember the broader context of your traveler’s search journey. Going down from “three-day trip to Rome” to “recommend a restaurant,” the traveler will be reading all responses within the same window. Importantly, the responses will integrate information from Google Travel and Google Things to Do, meaning that at various points, there will be links to bookable services or products, and bookings could be completed in AI Mode within the same window. For now, such links to services or product providers are organic, but their placement may become paid in the future.

This is a great opportunity for travel suppliers to boost direct bookings and establish authority for themselves, leaving third-party endorsements in the past.

Other Notable Tech Announcements

Tool

Functionality

Use Example for Travel

Real-time speech translation in Google Meet

Speech will be translated during live video, preserving the voice characteristics and intonation of the speaker in the listener’s language.

A video call between a guest and a bungalow host speaking in different languages

Glasses with Android XR

AI-enabled AR glasses with a camera, a microphone, and speakers can project Google Maps navigation, recognize objects you see, and translate speech in real-time.

A traveler can request and retrieve information on the go without the need to reach out for a smartphone using voice commands.

Google Beam

A video communications platform that can capture video from six angles and turn it into 3D in real-time.

Immersive presentation of touristic sites and more appealing tour product advertising

Imagen 4

An enhanced AI image generation model with more detailed outputs

Improved imagery for visual appeal to tourists with close to zero cringy AI discrepancies like extra fingers or distorted faces

Gemini Live

A Gemini app extended with camera, screen sharing, Calendar, and Maps access. Point at objects with your camera and ask Gemini for information. The app understands what it sees and will provide feedback in voice mode.

A traveler can photograph a landmark and get all the tourist information about it with no need to ask for guide services.

Flow

An AI generator of short videos (8 secs) based on text or image prompts. The tool features editing, video compiling, style, and VX editing capabilities.

A short advertising video for your tour at a cost-effective price done within a few clicks

Stitch

This tool allows you to create app interfaces using text prompts or mockups. Upload your sketch or define the style, and AI will deliver a ready-to-use UI design.

No need for long calls with a designer to articulate your vision. A tour operator can become a visual artist for their websites.

Veo 3

An AI video generator incorporating the functionality to create music, dialogs, and sound effects

A promotional video for a tourist destination with no need for a video production team and complex logistics

Seeing is believing. Check what Voesis Studios could create with Veo 3 — coverage of a car show that never happened!

Cars at a car show

Please keep in mind that some of the announced tools have a limited release depending on your subscription, language, or region, while some are still under development.

In any case, it was one of the hottest presentations from Google that demonstrates the immense potential of artificial intelligence for tour operators as well. For more details from the tech giant, we invite you to rewind the conference video below.

Sundar Pichai at Google I/O

How to Act When AI Disrupts Your Travel Business Model

At the same time, the pace of technology can harm tour operators because AI providers add more features to their publicly available models that can disrupt traditional product creation and distribution chains. The trick here is to identify how you can turn AI into a competitive advantage. For instance, itinerary creation and travel planning can become a regular responsibility for standard LLMs, and it will be quite hard to achieve competitive differentiation here. Instead, you can concentrate on the following measures:

  • Apply AI to areas that are heavy in operations. You’ll cut costs through automation and save time for your employees for more creative tasks requiring genuine human input.
  • Cultivate an AI-friendly workplace within your business. Introduce AI into your operations gently and politely so that after some time you will have AI supporters and the talent to manage AI-powered operations.
  • Make use of your company’s insights, e.g., user interactions, to fine-tune specialized models. This way, general-purpose AI for tour operators, which your competitors are likely to use as well, will soon start lagging behind, while you are able to play the long game.
  • Data is the new oil. And with so much data in the travel industry, it’s essential to make sure it is clean, structured, and up-to-date. Otherwise, even the most advanced AI tool will generate poor results.
  • Watch out for new AI releases. If you happen to use LLMs, your tech team should follow the latest developments and make upgrades in a timely manner. Knowledge is power, while time is of the essence in this tech race.
  • Study how LLMs are indexing, processing, and serving web sources to users. We used to design our content for both humans and search engines. However, AI-based tools like ChatGPT, Gemini, or Claude see and consume content differently (see the table below).
Feature

Traditional Search Engines (e.g., Google)

LLM-based Indexers (e.g., for ChatGPT, Gemini, Claude)

JavaScript Rendering

Render JavaScript (eventually)

Many don’t render JavaScript, read raw HTML only

Schema and Structured Data

Understand schema markup and metadata

Mostly ignore schema and structured data, ingest unstructured text

Ranking Factors

Backlinks, domain authority, page speed

Not a primary consideration

Content Association

Associate content with your domain

Content becomes part of a general training set

Source URL Tracking

Tie content to source URLs

Don’t necessarily tie content to source URLs like Google

For more practical guidelines on how to improve your brand’s visibility in AI responses, we recommend the latest piece from Phocuswire.

Promising Use Cases of AI for Tour Operators

The entire travel tech stack is getting an AI pill. The technology has found its way into many areas of the tour business, making life easier both for travel companies and travelers alike. Below are a few AI use cases that are already making waves.

01

Communications and Messaging

Communicating with your customer may be an asynchronous process since after sending an initial request, your traveler may look at your reply in 20 minutes and come up with a follow-up question two hours later. Generative AI will be there 24/7 with no need to update each time on the context, as may be the case with human customer support. AI chatbots trained to answer standard questions are a great supplement in such cases. A well-trained AI chatbot can become your competitive differentiator and deliver tech-enabled, frictionless interactions across all touchpoints.

However, complex and more sensitive queries may still require a human touch to deliver personalized service, so we advise considering AI always as an addition and not as a replacement. If the situation requires human assistance, apply an AI tool to make a summary of customer information, including their interaction history and buyer behavior. Having this structured and cumulated data, you can then reroute the issue to a customer service assistant, who will now have the structured and summarized data to advise on the next best course of action.

The AI customization level may vary and depend on your needs and budget, with some AI solutions even allowing for accent alignment.

Let’s take the case of Teleperformance. The company uses an AI tool to align the accents of its customer service employees with clear spoken English. The software in charge uses a special algorithm to process their voices in real time. As a result, there are far fewer miscommunication and misunderstanding issues, which minimizes friction and eliminates communication barriers between customers and experts. Additionally, Teleperformance can tap into a global talent pool via offshoring and smartshoring and hire people it would not otherwise hire because of their accents. No conversation quality sacrificed.

A tour operator website is a good place to base your AI chatbot, but do not forget that chatbots can be incorporated into social media platforms like Facebook or WhatsApp. This way, through AI-powered communication, your clients can order and book tours within the chat screen, request clarifications, or search for travel options in the media they like, trust, and use on a daily basis.

02

Visual Commerce Layer

Artificial intelligence and computer vision are disruptive forces that peep out through the transformation of how travelers do their research and plan trips. Travel discovery is shifting from words to images, with AI-powered visual search analyzing the content of photos or videos to retrieve relevant information, destinations, and products. Google Lens and Circle to Search enable users to draw on info from what they see in the image and level up their interaction with content in general.

As a travel business, you need to find ways to bridge the gap between discovered inspiration and booking your product. One of the forms artificial intelligence for tour operators can take in this case is a visual search engine. Let’s consider Daisy, an engine by Landfolk — a vacation rental company with a focus on Northern Europe. Instead of using traditional property filtering through checkboxes or tags, you can search by scene, feeling, or even vibe. Using a local AI tool, the system indexes property images. When you type your search query, Daisy compares it to the visual index based on a similarity score and displays the closest matches.

Screenshot of property options in Northern Europe

Another manifestation of artificial intelligence for the tour operator business here is the use of synthetic imagery to improve or customize travel experiences. However, GP Solutions warns you against posting AI images or videos that don’t portray authentic destinations or distort reality. You don’t want to earn a reputation for selling crap under a pretty facade. Once this damage is done, it can never be undone.

03

Paper/Photo Document Processing

There are situations when a travel company has to deal with documents in all possible formats — scanned invoices, photos of receipts, and even paper bills. Those have to be processed for reporting needs, e.g., for expense tracking. GenAI combined with OCR (optical character recognition) is able to demonstrate accuracy and speed that OCR on its own has hardly been capable of to date. An AI tool can capture and retrieve the required details and further input them into your core system with reduced headache time, fewer delays, and no need to touch paper at all.

04

Travel Data Analytics

The travel industry is a vast repository of diverse data, including destination descriptions, tour performance, customer reviews, traveler behavioral patterns, service descriptions, financial performance, online polls, feedback surveys, tourist flow, bookings, guest information — the list goes on. If you apply the right AI tool to structure and process it and draw insights, you’ll multiply the value of the data that are readily available within your organization. AI for tour operators in this area can help track product performance, identify bottlenecks in operations, spot trends in traveler preferences, predict prices, dynamically adjust your offerings, and so much more.

If you wish to capitalize on your data, GP Solutions has extensive experience with data analytics for travel. Please check the dedicated page on our website for more details.

05

AI Agents as a New Distribution Channel

As seen from the chapter where we discussed Google’s new advancements in AI-driven search, agentic AI will rise to one of the most prominent, if not the most important, distribution channels. And tour operators will have to revamp how they interact with and service customers.

Refer to the video below for more on AI’s agentic impact on travel company operations.

humanoid robot making a tour booking

That’s only a sneak peek at the uses of AI in the tour operator business. In the image below, you’ll find even more tasks you can relegate to AI. Some of them surely look familiar to you. And don’t forget another piece from GP Solutions where we discuss some of them in more detail.

Use Cases of ai for tour operators

Your Use Case Determines Your AI Tool

Previously, our expert already shared her opinion of the best strategy to approach the implementation of AI for tour operators. Please refresh your memory with our article.

This time, we would like to narrow it down to the strategy for selecting an AI model for your business, because not all AI models are created equal. Your choice as a tour operator should be defined by the nature of the tasks you want to entrust to your AI app and your budget.

Generative AI models have the so-called context window — the number of tokens you can enter or retrieve within the span of a single interaction. Tokens are basic units of text, e.g., words or punctuation marks. By imposing such limits, tech companies control user access and govern their costs.

In March 2025, Google released Gemini 2.5 with the longest context window among its competitors — 1 million tokens. Compare to 128k tokens from the DeepSeek-R1 model. That is why, if your business and tasks you want to hand over to AI involve processing vast databases of content, this parameter should be your crucial factor in model choice.

OpenAI’s GPT-4o, on its part, has the most powerful reasoning model. Reasoning in the case of AI is a model’s ability to break down a problem and demonstrate its chain of thought before it delivers you an answer. It is designed to offer up guarantees against hallucinations so that the user could look into the black box nature of AI results and render its answers as more trustworthy.

Even the smartest models can make mistakes. Remember that disclaimer below ChatGPT’s chat window, “ChatGPT can make mistakes. Check important info”? Unlike with text generations, code discrepancies may have far costlier consequences. If you intend to apply AI for code development, Anthropic’s Claude 3.7 model may be a smart choice because it has gained trust among the developer community due to its “thoughtful” AI behavioral patterns. It is capable of producing complex code via an intuitive interface, but the result will have fewer harmful consequences compared to its competitors’ output.

If you seek to generate photorealistic images to market your travel products and destinations, have a look at OpenAI’s 4o image generation, Google’s Gemini 2.0 Flash, and the good old Midjourney that is still offering the best customization functionality for the images it produces.

However, keep in mind that as these models are evolving, it may come time to switch to another, more cost-effective alternative at a negligible cost. The intense competition may lead to the situation when AI models have no competitive advantage but pricing per token.

Large-scale enterprises may even face the situation when they’d better use several models for each individual use scenario, yielding results from each AI model’s strengths. Let’s take the example of Booking.com, who were among the pioneers in AI for the travel industry and launched AI Trip Planner back in 2023 that operated on existing ML models and was partially backed by ChatGPT API. Two years later, the company partners with OpenAI, Anthropic, AWS, Google, and other open-source models. They welcome into their network only those models that have proven their performance over time and adhere to strict standards for privacy and security. The company stresses that integration with AI models goes far beyond simply accessing them, since they have to work with both structured (pricing, availability) and unstructured (reviews, queries in real-time) data. Each model passes through rigorous testing for performance and compliance with external and internal regulations. The process is very strict and complex, as you might imagine. However, as Booking.com stresses, they deliver value in those areas where it will bring the most value for their customers. That is why, for you, as a tour operator, it is essential to understand where your principal use cases for AI lie and how technology can boost your particular operations.

If you are afraid to invest in AI and lose because you lack relevant expertise to make this choice on your own, it will be a wise step to consult a travel software vendor like GP Solutions, which has experience with AI integrations.

Accept the Change before It’s Too Late

During the conference we discussed in the beginning, Pichai mentioned AI 92 times and Gemini 95 times. “The opportunity with AI is truly as big as it gets,” he said in closing. Here, again, time is of the essence. As a tour operator, you need to act fast to address these transformational changes because the forward-thinking competitors of yours won’t wait.

Do your research to get a clear picture of what’s on offer in AI for tour operators, identify tasks where AI can unleash its powers in the most cost-effective way, and step confidently but wisely. AI for the sake of AI is a futile investment. You should have a persuasive answer why you need it and how it can benefit your particular business.

Invest in a flexible data architecture, adopt foundational AI technologies, and promote organizational competencies, and it may happen that it is your company’s success story that we will be writing about next time.

Borodinets
Anastasia Borodinets
Travel Technology Expert at GP Solutions
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