Vietnam’s Coc Coc Launches AI Chat And Search Products

Coc Coc, a prominent browser and search engine provider in Vietnam, has entered the AI race with two new offerings: Coc Coc AI Chat and Coc Coc AI Search. Both products are free to use and represent the foundation of Coc Coc AI Lab, the company’s new AI ecosystem.

Coc Coc AI Chat is a chatbot developed using the GPT-3.5 model and customized with data from Coc Coc Search. It emphasizes Vietnamese language support, even providing responses in Vietnamese for English-language queries. The company highlights the chatbot’s ability to interpret Vietnamese cultural nuances and linguistic subtleties, distinguishing it from competitors.

Coc Coc AI Search aims to streamline information gathering. It delivers summarized results directly within the search interface, reducing the need for users to visit multiple websites. Responses are generated in approximately two seconds, offering a faster and more secure search experience.

The company is actively seeking user feedback during the testing phase to refine these new tools.

Founded in 2013, Coc Coc claims a user base of over 29 million and processes more than 600 million monthly queries. Despite facing stiff competition from Google, Coc Coc has remained a notable player in Vietnam’s digital landscape.

While its market share is reported to be around 5% for browsers and 3% for search engines, CEO Nguyen Vu Anh argues that these figures underestimate the company’s influence and reach within Vietnam.

Coc Coc’s latest AI advancements could signal a strategic move to bolster its market presence and challenge industry giants.

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.