Naver Expands AI Powered Search With Image And Multi Source Features

Naver is upgrading its search service with new artificial intelligence features, as online search continues to shift toward AI-generated summaries and conversational interfaces.

The South Korean tech company has added new formats to its AI Briefing service, strengthening its position in the evolving AI-powered search market.

New Multi-Source Instant Answers

According to the information technology industry, Naver recently introduced a “multi-source instant answer” format to AI Briefing.

Launched in March last year, AI Briefing uses generative AI to analyze user search intent and provide summarized answers with source citations. The feature currently applies to about 20% of total search results.

The new multi-source instant answer format identifies key facts shared across several documents and presents them as one clear answer at the top of the page.

This allows users to quickly access essential information without comparing multiple links.

For example, when users search for “task manager shortcut,” the top result displays “Ctrl+Shift+Esc.” A search for “freelancer year-end tax filing period” shows “May 1 to May 31” at the top.

Detailed explanations and cited sources are listed below the brief answer.

Image Type AI Briefing

Naver has also introduced an image-type AI Briefing format.

This version places the most relevant image at the top of search results, along with an AI-generated summary based on the image and multiple document sources.

The feature is designed to help users better understand topics that are difficult to explain with text alone.

Searches such as “internal structure of an egg” or “definition of hypotenuse” display related images from blog and café posts, followed by AI summaries and references.

Changes In User Behavior

Naver says the introduction of AI Briefing has already led to noticeable shifts in user behavior.

During an earnings call on May 6, CEO Choi Soo-yeon said long-tail queries of 15 characters or more have more than doubled since the feature’s launch.

She added that users are spending steady amounts of time in the top section where AI-generated summaries appear.

After applying personalization technology, follow-up question click rates increased by more than 20%, according to Choi. She said this suggests users find AI-generated information useful.

Expansion And Monetization Plans

Naver plans to expand AI Briefing coverage to around 40% of search results by the end of the year.

The company is also preparing to launch new services in the first half of the year, including a shopping agent and a dedicated AI tab.

These efforts aim to integrate generative AI more deeply into Naver’s core services such as search and commerce, while opening new revenue opportunities.

As competition intensifies in AI-powered search, Naver is moving to strengthen its platform with faster answers, richer visuals, and more personalized experiences.

Sources: Seoul Economic Daily, Naver earnings call statements.

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.