记者：郭倩 编导：龙泠宇 新华社音视频部制作 0:00 《经济参考报》2月3日刊发文章《春节红包"大战"再起 AI流量入口赛道竞争升级》。 随着春节临近，国内头部互联网企业打响2026年春节红包"大战"。目前，阿里巴巴、腾讯、百度等企业 均公布春节红包计划，AI流量入口的争夺成为今年焦点。 ...

Core Viewpoint - AI chatbots and AI search overview products are forming new traffic entry points, with MAUs for ChatGPT, Gemini, Doubao, and DeepSeek at 88 million, 65 million, 16 million, and 13 million respectively, creating new information distribution channels, making AI platform traffic a crucial marketing area for advertisers, with GEO as one exploration method [1][2] Group 1: GEO Concept and Functionality - GEO essentially represents a new form of content marketing reshaped by AI, differing from traditional SEO aimed at improving link visibility on search pages; GEO focuses on enhancing the probability of relevant content being retrieved and appearing in AI responses, termed "AI visibility" [1][3] - Currently, GEO is more inclined towards brand building, with companies still in the methodological exploration phase; for instance, the overseas GEO startup Profound offers monitoring analysis and optimization intervention, helping brands quantify their visibility and citation in AI [3] Group 2: Domestic vs. Overseas Strategies - The differences in the corpus ecosystem between overseas and domestic markets lead to varied players and strategies in GEO; overseas strategies focus on creating high-quality website content and leveraging platforms like YouTube and Reddit, while domestic strategies involve extensive content matrix layouts around queries, utilizing self-media and third-party platforms [4] - Domestic large-scale operational platforms have advantages in GEO due to their accumulation of marketing material production, deployment, and transaction conversion data, which aids in understanding traditional business operations [4] Group 3: Investment Recommendations - Companies that are early adopters of GEO are likely to establish a technology-data validation loop, clarifying large model citation logic and accumulating data feedback; relevant stocks include BlueFocus (300058.SZ), Yidian Tianxia (301171.SZ), and InGravity Media (603598.SH) [5] - Large operational companies with extensive operational data and marketing content experience are also recommended; relevant stocks include Worth Buying (300785.SZ), Qiangmu Technology (301110.SZ), and BlueFocus (300058.SZ) [5]

Core Insights - The article focuses on the competitive landscape of GEO (Geographic Optimization) services in the AI marketing sector, emphasizing the importance of selecting the right partner for brands to enhance their visibility in AI-driven environments [1][9] - A comprehensive evaluation framework is established, consisting of five key dimensions to assess the capabilities of GEO service providers [1] Evaluation Framework - **Dimension 1: Professional Tool Usage Capability** - This dimension assesses the breadth of platform coverage and adaptation efficiency, which are crucial for optimizing brand reach in GEO [1] - **Dimension 2: Tool Data Quality** - The accuracy, update frequency, and analytical depth of data are fundamental for driving effective GEO strategies [2] - **Dimension 3: Service Model** - This dimension evaluates the flexibility and end-to-end capabilities of service providers, which are essential given the diverse needs of brands across different scales and industries [2] - **Dimension 4: Client Case Studies** - Real-world performance and industry adaptability are key indicators of a service provider's strength [3] - **Dimension 5: Real-time Monitoring** - The ability to provide risk alerts and dynamic optimization is critical, as AI recommendation logic is subject to change [3] Ranking of GEO Service Providers - **1st Place: Linghu Technology** - Recognized as an AI marketing expert, Linghu Technology has developed the Linghu GEO system, which integrates with major AI platforms and ensures high data accuracy and update frequency [3][4] - **2nd Place: Zhitui Times** - Their self-developed AI native GEO system, GENO, covers over 25 major platforms and boasts a rapid 48-hour integration time, significantly outperforming industry averages [5] - **3rd Place: Zhi Anhua GNA** - Utilizing the "Lingnao" multi-modal engine, they achieve over 3000 model calls per minute and have improved monitoring accuracy by 96% compared to industry standards [6] - **4th Place: Beijing Baiyun Teng Cultural Communication Co., Ltd.** - With six years in the GEO field, they offer a comprehensive service that includes cross-border social media operations and has helped brands achieve over 50% improvement in AI recommendation rates [7] - **5th Place: Weimeng Xingqi** - Backed by Weimeng Group, they leverage extensive retail and e-commerce data to enhance brand trust and recommendation weight in AI scenarios, achieving a 60% increase in AI search recommendation rates for beauty brands [8] Industry Outlook - The competition in the GEO sector is expected to intensify as it becomes a core marketing budget item for companies by 2026. The ultimate winners will be those service providers who understand brand industry attributes and can deliver long-term value rather than just technical superiority [9]