AI Search
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The End of Search? Not for Google’s Ad Revenue
AI search adoption is surging, with Google integrating AI Overviews, yet Google’s ad revenue surprisingly increased by 14%. This is because Google embeds ads within AI responses, potentially undermining the purpose of AI search – avoiding ads. While websites in AI results gain traffic, overall click-through rates to content websites decrease. Google defends against claims of declining traffic. The long-term impact includes a potential decline in high-quality content and increasing margin of error as AI uses AI-generated content for learning, and possible antitrust conflicts.
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A New Search Leader? Alibaba’s Quark Overtakes Baidu in Performance
IDC’s “AI Search Product Assessment, 2025” evaluates general-purpose search products based on user data, product performance, and technological capabilities. Alibaba’s Quark application excelled in product performance, achieving a score of 4.8 out of 5. This performance surpassed Baidu, positioning Quark as a leader in this key dimension according to the IDC report. The assessment underscores Quark’s strong capabilities.
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Coveo AI to Enhance DocuSign Customer Support
Coveo, an AI-Relevance leader, announced Docusign selected its AI-Search and Relevance Generative Answering to enhance customer support. Docusign aims to improve self-service, optimize agent workflows, and ensure consistent responses, reducing time spent finding information. Coveo’s platform offers scalability, security, and actionable intelligence, promising increased efficiency and improved experiences. Coveo’s AI aggregates content, amplifies case deflection, and cuts down answer-seeking time, driving operational efficiency and personalized support.
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Liang Zhihui, VP of 360 Group: Empowering Everyday Users with an “AI Expert Team” Through Super Search Intelligent Agents
At the AGI Playground, Liang Zhihui of 360 Group introduced “Super Search,” an AI-driven search engine. Moving beyond traditional keyword-based methods, Super Search uses a task engine with autonomous planning to address complex queries. It leverages LLMs, along with specialized tools and models, including domestic ones, to break down and execute intricate tasks, as for planning a rock-climbing trip. Features include intelligent agent creation and integration of high-quality models.