Naver's decision to discontinue its FAQ (Frequently Asked Questions) service is the clearest sign yet that South Korea's largest internet portal is overhauling its search ecosystem. As the company aggressively scales back conventional, list-based search features in favour of AI-driven conversational search, the move illustrates just how quickly that transformation is accelerating.
The FAQ service had allowed users to view key questions and answers on specific topics in a structured format, displayed prominently at the top of search results. It was widely used across categories including shopping, healthcare, and legal information. Yet as generative AI became capable of delivering precise, contextually nuanced answers in real time, the fixed-format FAQ lost its practical purpose — a view now broadly shared across the industry.
Since 2023, Naver has been developing CUE:, an AI-powered search service built on HyperCLOVA X, the company's own large language model. When a user poses a question in natural language, CUE: synthesises information from multiple sources — web pages, blogs, community forums, and specialist databases — to generate a context-rich response. Usage of the AI search service has risen steadily since its refinement, and the preference for AI search over traditional search is growing particularly rapidly among users in their twenties and thirties.
The same trend is playing out globally. In 2024, Google introduced AI Overviews across its search results pages, pivoting from lists of links to AI-generated summaries. Microsoft has been driving a similar shift through Copilot, which integrates ChatGPT technology into its Bing search engine. OpenAI's launch of its own standalone search engine, SearchGPT, reflects the same logic. The competitive axis in search is shifting decisively: what matters is no longer how many sources a search engine can surface, but how accurately and instantly it can generate the right answer.
The implications for South Korea's search advertising market are equally significant. Traditional search advertising depends on users entering a keyword, landing on a results page, and clicking on an advertisement. But as AI search increasingly keeps users engaged within a single screen — rendering a separate results page redundant — the effectiveness of the existing click-based advertising model will inevitably erode. Since Google introduced AI Overviews, a growing number of marketers have reported real-world declines in organic traffic. Naver faces the same challenge: even as it pushes forward with AI search, it must simultaneously redesign the architecture of its advertising revenues.
Content creators and independent publishers are also voicing concern. Blogs, community forums, and other content on Naver's platform rely heavily on search-driven traffic. If AI search resolves users' queries through a summarised answer without directing them to the original source, individual creators will see fewer visitors and lower earnings. Industry bodies, including the Korea Internet Journalists Association, have called for public debate on copyright protection and the equitable distribution of traffic in an AI search environment.
Supporters of the transition, however, frame it as a qualitative leap in user experience. A researcher at Korea University's Graduate School of Information Security argued that "by dramatically reducing the time users spend on repetitive, simple information retrieval, AI frees them to focus on deeper and more creative information activities." Some observers also contend that wider adoption of AI search could, in the long run, democratise access to information.
The central challenge going forward is controlling AI's tendency to hallucinate — producing plausible-sounding but factually incorrect responses. This remains an unsolved technical limitation. In sensitive fields such as medicine, law, and finance, erroneous answers can cause tangible harm to users. The extent to which Naver invests in information verification systems and source transparency, alongside its AI search upgrades, will be the key variable in sustaining user trust.
Naver's retirement of its FAQ service is more than the removal of a single feature. It is the opening shot in a fundamental transformation of how portal search — which has dominated South Korea's internet landscape for over two decades — actually works. How the shift to AI-centred search reshapes the balance of interests among users, advertisers, content creators, and the platform itself remains the defining question of this new era.