Search AI Products and News

Gain insight into how this revolutionary tool, LLM SEO Monitor, helps brands monitor their performance in AI assistant search results like ChatGPT and Google Gemini. Analyze core functionalities, compare pricing pros and cons, and learn how to use it to bring new competitive advantages to brands in the AI search era.

Global renowned open-source AI platform Hugging Face recently released the open-weight model contributor ranking. Chinese teams Qwen and DeepSeek successfully ranked in the top 15, showcasing China's technical strength and influence in the global open-source AI field. This ranking honors the teams that provide high-quality model weights to the open-source community, with their models widely applied in academic and industrial innovation. The Qwen team supported by Alibaba Cloud Intelligence Group has gained favor from the community due to the excellent performance of its Qwen3 series models in tasks such as instruction following and code generation.

According to the latest data from Similarweb, ChatGPT reached a record 390.5 million visits in February 2025, a slight 1.44% increase from January. While month-over-month growth has slowed, year-over-year growth compared to February 2024 remains strong at 137%. This continued growth has propelled ChatGPT further up the global website rankings; it currently ranks fifth among global desktop websites and seventh when combining desktop and mobile traffic. Data shows ChatGPT's significant hold on global internet traffic.

Recently, Vectara released a report titled 'Hallucination Ranking', comparing the performance of different large language models (LLMs) in generating hallucinations while summarizing short documents. This ranking utilized Vectara's Hughes Hallucination Evaluation Model (HHEM-2.1), which is regularly updated to assess the frequency of false information introduced by these models in summaries. According to the latest data, the report highlighted key metrics such as hallucination rates, factual consistency rates, response rates, and average summary lengths of several popular models.

According to Sina Technology, Baidu Wenku's AI functionality has achieved remarkable results worldwide. As of the end of December, the monthly active users (MAU) of Baidu Wenku's AI function have surpassed 90 million, second only to ChatGPT's 310 million, ranking second globally. Since the comprehensive restructuring of Baidu Wenku, over 100 new features have been launched, including Smart PPT, Smart Documents, Research Reports, and AI Universal Search. The introduction of these features has greatly enhanced user experience and work efficiency, attracting a large number of users.

In 2023, the scale of China's artificial intelligence software market reached 37.74 billion yuan, a year-on-year increase of 26.2%. The computer vision market reached 10.11 billion yuan, led by SenseTime. In the AI voice and semantic market, Baidu Smart Cloud ranked first for the first time, followed closely by iFlytek and Alibaba Cloud. The market size of machine learning development platforms was 3.51 billion yuan, with Fourth Paradigm and Huawei Cloud tied for first place, focusing on large model technology to support the development of generative AI applications.

In the global race for generative AI (AI) applications, China is leading the pack with a significant advantage. According to a deep application survey report released by the U.S. big data analysis platform SAS, China boasts an impressive application rate of 83%, topping the list, followed by the UK at 70% and the U.S. at 65%.In terms of comprehensive implementation by enterprises, integrating generative AI with existing business processes, the U.S. leads with 24%, followed by China at 19%. Moreo

China's technology giant Alibaba's latest open-sourced Qwen-2-72B fine-tuned version has topped the global open source large model ranking.

Recently, the AI research organization Artificial Analysis launched an initiative called 'Artificial Analysis Text to Image Leaderboard & Arena' to comprehensively evaluate the performance of these models.

Recently, the HELM MMLU released its latest results from Stanford University's large model evaluation leaderboard. Percy Liang, director of the Stanford Center for Research on Foundation Models, stated that Alibaba's Tongyi Qianwen Qwen2-72B model has surpassed Llama3-70B in ranking, becoming the best-performing open-source large model.

The latest data from the LMSYS chatbot arena ranking shows that Gemini-1.5-Pro ranks first in Japanese, Chinese, and French, demonstrating strong multilingual capabilities. Meanwhile, GPT-4o performs excellently in English, German, and Spanish, maintaining its top position. Additionally, Claude-3Opus excels in the Russian domain, attracting widespread attention.

The popularity of ChatGPT has led to explosive growth of domestic large models. With rapid advancements in AI technology, AI products are being widely applied across multiple domains, from text generation to AI chatbots. Qimai Data has released the AI Application Ranking, indicating that AI products account for 26% of the market, with comprehensive AI products and audio generation AI products making up a significant portion. Major manufacturers are launching AI products with various functions, and AI is being utilized in numerous fields. Since 2023, new products have been continuously launched, and the AI product market is gradually taking shape, with significant room for growth.

In January 2024, Leonardo.ai surpassed Midjourney to become the number one AI image generation product. In February, Midjourney experienced a decline in traffic. Leonardo.ai demonstrated stronger performance, while Midjourney faced pressure in maintaining traffic. Midjourney has issues with its image generation model and user retention, and its usage costs are relatively high. Leonardo.ai excels in user engagement and session duration, with a steady increase in unique visitors.

Google is enhancing its ranking system to eliminate AI-generated spam content. This initiative aims to reduce the impact of websites created for search engines rather than for people, expecting to decrease 40% of low-quality search results that lack original content. Google's goal is to direct traffic to high-quality, helpful websites.