Naver Launches ‘Domestic Travel Course Recommendation’ Service

Naver has introduced a new service aimed at simplifying the process of planning domestic trips in South Korea.

The ‘Domestic Travel Course Recommendation’ service leverages Naver’s extensive location data and AI technology to offer personalized travel itineraries, making it easier for users to plan trips without the usual hassle of organizing every detail themselves.

Tailored Travel Courses for 270 Regions

The service analyzes Naver’s vast database of location-related information to recommend travel courses across approximately 270 regions in Korea.

Whether you’re planning a day trip, a weekend getaway, or a longer vacation, the platform provides customized courses for different durations, including options like day trips, 1-night-2-day stays, or extended trips of 3 nights or more.

Users can easily explore a variety of themed courses based on the type of experience they seek. Themes such as “healing trips with nature” or “life shot spot tours” are just some of the offerings. You can also check out the total travel distance, time, and specific travel sections to optimize your journey.

Easy Sharing and Map-Based Planning

To make trip planning even more convenient, users can view their entire daily travel course at a glance on a map. The map provides detailed information on the locations and routes of attractions, restaurants, and other points of interest included in the course. Once a course is selected, you can easily share it with your travel companions using the “Share” button.

AI-Powered Recommendations with AirSPACE

Naver’s AI-powered place recommendation system, AirSPACE, is at the heart of the new service. This advanced technology analyzes search behavior, reservation data, and movement patterns to recommend the optimal travel course.

AirSPACE takes into account transit points, total distance, and travel time to provide users with well-rounded itineraries that cater to their preferences.

The system also uses AI to summarize key information about each location and visitor reviews, giving users a quick overview of what to expect at each destination.

Seamless Integration with Naver Travel

The ‘Domestic Travel Course Recommendation’ service can be accessed by visiting the Naver Travel > Domestic Travel Information page or by simply searching for travel-related keywords like “Jeju Island Travel” or “Gangwon-do Travel”. From there, users can select the specific region they plan to visit and browse various recommended courses.

The AI-driven service also updates automatically based on user interest in particular locations, ensuring the recommendations remain fresh and relevant.

A Continuously Advancing Travel Service

Naver’s commitment to enhancing the travel experience doesn’t stop here. Since 2017, Naver has been developing AI-based travel services, such as ConA (Context recognition AI), to offer users more relevant and insightful travel guides. This latest upgrade to the Domestic Travel Course Recommendation service represents a fusion of Naver’s local data expertise and AI technology, ensuring that users can explore Korea’s rapidly evolving travel trends.

With these advancements, Naver aims to help users plan their trips more efficiently, discover hidden gems, and enjoy memorable travel experiences throughout South Korea.

Whether you’re exploring for a day or embarking on a longer journey, Naver’s Domestic Travel Course Recommendation service is your go-to tool for stress-free, personalized travel planning.

Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.