Marketing Paradigm Shift in the AI Era: DeepSeek Empowers Brands to Gain Understanding and Recommendations

AI reshapes the marketing paradigm. DeepSeek has formed four software service models (platform-type intelligent creativity, full-domain operation enhancement, vertical industry scenarios, enterprise-level technical empowerment) and two hardware deployment solutions (Information Innovation (Xinchuang) All-in-One Machine, intelligent computing power pooling) in marketing scenarios. Enterprises need to select models based on the three-dimensional framework of scale efficiency, vertical depth, and data security, and build brand AI cognitive assets through Generative Engine Optimization (GEO), grasp the ecological trends of service verticalization, product integration, and optimization systematization, and achieve the transformation from "being searched" to "being understood and recommended by AI."

Currently, DeepSeek has integrated into marketing scenarios to form four software service models: Platform-type intelligent creativity (represented by Baidu Marketing, batch material generation + AI customer service closed loop), full-domain operation enhancement (Huibo Technology, private domain operation automation), vertical industry scenarios (Mingyuan Cloud, serving 2500+ vertical projects such as real estate), and enterprise-level technical empowerment (BeyondSoft, customized solutions). Hardware deployment directions are Information Innovation (Xinchuang) All-in-One Machine (Shanghai Zhisuan Xingyun, privatization) and intelligent computing power pooling (4Paradigm, dynamic scheduling). The four software models differ in creative efficiency, vertical depth, and customization flexibility.

Enterprises need to match service providers based on three-dimensional needs: 1. Scale efficiency orientation (sufficient budget, large-scale advertising → choose platform-type such as Baidu Marketing); 2. Vertical industry depth (strong industry attributes → choose vertical-type such as Mingyuan Cloud); 3. Data security sovereignty (sensitive data → choose hardware deployment such as Shanghai Zhisuan Xingyun). The selection process should follow the steps of clarifying pain points → screening 2-3 candidates → POC testing → evaluating scalability, avoiding blind following.

Software model cases: Baidu Marketing (official channel, reduces labor costs), Huibo Technology (official product, improves repurchase rate), Mingyuan Cloud (Phoenix New Media Q3 2025, serves 2500+ vertical projects), BeyondSoft (listed company announcement, customized). Hardware solutions: Shanghai Zhisuan Xingyun (official materials, Xinchuang adaptation), 4Paradigm (Jinyi Investment information, computing power pooling). Verification points include creative quality, authenticity of industry cases, Xinchuang compatibility, etc.

The core of Generative Engine Optimization (GEO) is to make brands gain an advantage in AI understanding and recommendations. ZingNEX provides a diagnosis-production-distribution toolchain (ZingLens/ZingWorks/ZingHub), and Bodaodao connects mainstream AI search entrances. The BASS model evaluates brand AI strength from six dimensions including presence and relevance, and the four-step practical method (diagnosis → production → distribution → monitoring) helps with optimization.

Ecosystem trends include: 1. Service verticalization: More industry-specific solutions emerge; 2. Product integration: Blurred boundaries between software and hardware, end-to-end services; 3. Optimization systematization: GEO becomes a standard for brand AI marketing, with quantitative indicators driving iteration. These trends will reshape the path of brand AI marketing.

Action roadmap: 1. Act immediately: Complete demand assessment and candidate screening within 2 weeks; 2. Synchronous layout: Incorporate GEO optimization and build knowledge assets; 3. Long-term construction: Choose full-link partners to form a closed loop. Pitfall avoidance list: Avoid ignoring scenario adaptation, underestimating operation and maintenance costs, and neglecting after-sales support. Enterprises need to shift from execution empowerment to brand AI narrative positioning.