Baidu Embraces AI to Sustain Search Engine Leadership Amid Rising Competition

Baidu is intensifying its efforts to preserve its market dominance as new competitors emerge, leveraging artificial intelligence (AI) to enhance their search functionalities. In response to this evolving landscape, Baidu is strategically pivoting towards AI-driven solutions to maintain its leading position in the search market.

Heightened Competition in the Search Arena

The search engine sector has increasingly become a battleground for major internet companies seeking to capture user attention and traffic. Recent developments underscore this trend:

  • July 10: Alibaba-affiliated search engine Quark launched its “Super Search Box,” emphasizing AI-powered search services.
  • July 1: Tencent introduced its deep search function, Yuanbao.
  • June 26: DingTalk AI search began its invitation-only testing phase.

Internet firms have long coveted search engines due to their critical role as gateways for traffic, information dissemination, and service distribution.

Additionally, content platforms like Xiaohongshu, Douyin, Kuaishou, Bilibili, and Zhihu have been enhancing their offerings, providing users with more diverse options and intensifying competition beyond traditional search engines like Baidu.

Baidu’s Declining Market Share Signals Competitive Pressures

Despite retaining its position as the leading search engine in China, Baidu has experienced a notable decline in market share. According to Statista, Baidu’s market share decreased to 55.85% as of May 2024, down from 86.82% in November 2021. This drop highlights the growing competitive pressures as other platforms develop and refine their own search capabilities, gradually eroding Baidu’s once-dominant position.

AI: The Cornerstone of Baidu’s Strategy to Revitalize Search

In the face of mounting competition, Baidu is heavily investing in AI to rejuvenate its search offerings. The company is transitioning from traditional search methodologies to generative search, aiming to leverage AI to enhance efficiency and user experience. However, integrating AI into its commercial model presents challenges, particularly in balancing innovation with revenue generation.

In May, Baidu’s management revealed that approximately 11% of its search results are now generated using AI technology. CEO Robin Li expressed optimism about AI’s potential, suggesting that AI could transform search services into the “killer app” of the AI era. This strategic shift aligns with the 2024 objectives set by Baidu’s Senior Vice President, He Junjie, who leads the Mobile Ecosystem Group.

While AI-driven search can provide more direct answers and streamline the search process, it disrupts traditional revenue models that rely on advertising within search results. Baidu faces the challenge of sustaining revenue growth while transitioning to AI-powered search— a dilemma also faced by global search giants like Google and Bing, which are striving to balance AI integration with advertising revenues.

To address declining advertising revenues, exacerbated by the rise of short video and e-commerce ads favored by advertisers, Baidu is revising its agency policies and introducing new agents to foster competition and innovation among its partners.

AI-Driven Transformation Enhances Baidu’s Content Ecosystem

Beyond search, Baidu is leveraging AI to transform its broader content ecosystem. Products such as Baidu App, Baidu Content Ecosystem, Baidu Tieba, Wenxin Yiyan App, and Baidu Marketing are undergoing AI-driven restructuring.

For example, Baidu Wenku is being revamped into an intelligent document creation platform akin to Microsoft’s Office Copilot. This AI integration has spurred user growth across Baidu’s platforms:

  • Wenxin Yiyan (ERNIE Bot): Reached 300 million users with 500 million daily calls.
  • Baidu App: Achieved 676 million monthly active users in Q1 2024.

Despite this growth, the impact of AI on business conversion rates and advertising revenue remains limited.

Navigating the Future Amidst Technological Advancements

While Baidu remains the leader in China’s search market, it faces significant pressure to adapt and innovate in the AI era. The company’s ability to effectively integrate AI into its search and content services will be crucial in maintaining its market position amidst evolving consumer preferences and technological advancements.

As Baidu continues to invest in AI to enhance its offerings, the coming years will be pivotal in determining whether the company can sustain its dominance and thrive in an increasingly competitive and AI-driven digital landscape.

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.