Introduction

when companies find that their brands can be recommended in bean bags but cannot be found in DeepSeek, the root of the problem is often not the quality of the content, but the failure to understand the differences in source preferences of different AI platforms. GEO optimization is not a fresh standardized operation, but requires a differentiated strategy for the algorithmic logic of different platforms. This paper consists of deep plowing AI marketing. Suzhou Cattle Orange Network the team writes to provide enterprises with in-depth analysis and differentiated customer acquisition strategies for the four major AI search platforms.

Positioning and User Differences of the Four AI Search Platforms in 1.

China's AI search market has formed a pattern of four strong parallel: bean bag (byte beat), DeepSeek (depth search), ingot (Tencent), tongyi qianwen (Ali). Each platform has its own unique user profile and content preferences.

1.1 Bean Bag: Life-oriented Expression and Intensive User Feedback

bean bags are positioned as AI life assistants, and the user groups are mainly ordinary consumers and young professionals. The bean bag presents obvious life characteristics in the content reference:

• preference content type: Life services, consumer decision-making, practical strategy content.
• source weight logic: pay more attention to user evaluation, real feedback, social word of mouth
• typical Reference Scenario: Which restaurant is delicious, which brand is worth recommending, how to choose and other consumer decisions

1.2 DeepSeek: Structured Professional and Technical Depth

the DeepSeek is positioned as a AI technical assistant, and the user group is mainly technical practitioners, researchers and professionals. DeepSeek presents a clear technical orientation in content references:

• preference content type: technical documentation, product specifications, industry reports, academic literature
• source weight logic: pay more attention to the degree of content structure, technical accuracy, professional authority
• typical Reference Scenario: Comparison of technical solutions, interpretation of product parameters, industry analysis methods and other professional issues.

1.3 Yuanbao: Localization and Tencent Ecotype

yuanbao is positioned as a AI life and work assistant. Relying on Tencent Ecology, Yuanbao has unique advantages in local life and enterprise service scenarios:

• preference content type: local life service, enterprise business service, public number content
• source weight logic: pay more attention to Tencent's ecological content such as public number and WeChat Channels, as well as localized information.
• Typical Reference Scenario: Localization issues such as what is nearby, recommended by local service providers, and which enterprise service is better

1.4 Tongyi Thousand Questions: Enterprise Service and Comprehensive Analysis

tongyi Qianwen is positioned as a AI work assistant and has outstanding performance in enterprise service scenarios and comprehensive analysis:

• preference content type enterprise Services, Solutions, Industry Analytics, Business Reports
• source weight logic more attention to the official website content, media reports, case analysis and other comprehensive information
• typical Reference Scenario: Enterprise service solutions, industry solutions, company comparative analysis and other enterprise-level issues.

Depth Comparison of Source Preference of Four 2. Platform

dimension	bean bag	DeepSeek	yuanbao	tongyi Thousand Questions
core positioning	AI Life Assistant	AI technical assistant	AI Life Work Assistant	AI work assistant
primary User	ordinary consumers, young workers	technologists, researchers, professionals	local users, business people	enterprise users, management
preferred source	user evaluation, social word of mouth, life strategy	technical documents, industry reports, academic literature	public number, Tencent ecology, local information	official website, media reports, case analysis
suitable for industry	local life, retail consumption, cultural travel	technology, Manufacturing, Professional Services	local Services, Corporate Business, Life	enterprise Services, Consulting, Industry Solutions

multi-platform GEO Differentiation Strategy for 3. Enterprises

principles of Platform Adaptation for 3.1 Content Matrix

when optimizing GEO, enterprises should not pursue a set of content to dominate the world, but should adjust the expression according to the content preferences of different platforms:

content Strategy for Bean Bags

• increase real user evaluation and experience sharing content
• adopt an easy-to-understand language style and avoid overly specialized expressions
• add practical oriented contents such as how to do, how to choose, whether it is good or not, etc.
• Layout word-of-mouth content on third-party platforms (public comments, Little Red Riding Book, etc.)

deepSeek-oriented content strategy

• enhanced structured presentation of technical documentation and product specifications
• increase data support and professional analysis content
• adopt a rigorous and professional language style
• publish industry white papers and technical blogs

4. enterprise GEO multi-platform operation suggestion

for most enterprises, Suzhou Niucheng Network recommends a 2+2 multi-platform strategy:

• main platform (invest 60% of resources): Select the two platforms that best match the target customers to focus on operations.
• Coverage platform (invest 40% of resources): Maintain base exposure and content updates for other platforms

for example, for the local life service for C- end consumers, it is suggested that the main operation bean bag + silver ingot; For professional services for B- end enterprises, it is suggested that the main operation DeepSeek + Tongyi Qian Quan.

Conclusion

in the era of AI search, the key to brand acquisition is no longer whether it can be seen by AI, but how to be seen in the right way on the right AI platform. Understanding the differentiation characteristics of the four AI search platforms and formulating targeted content strategies are the key to the success of enterprise GEO.

Suzhou Niu Orange Network focuses on enterprise AI marketing services and has helped hundreds of enterprises to complete multi-platform GEO optimization and achieve accurate customer acquisition through AI channels. If you want to know how your company should develop a multi-platform GEO strategy, you can contact the official phone number. 18721502446 get a free diagnostic plan.

Learn more about AI marketing combat methods, can visit Suzhou cattle orange network official website www.zctgeo.com.

Reference Source: this article is a comprehensive compilation of the relevant contents of the "Search Fruit AI Search Monitoring and Dismantling 30 Scene Words Report" to explore the brand differences in the AI answer list.