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

Generative AI is reshaping how users access information, and the core competitiveness of brand marketing has shifted from "being searched" to "being understood, remembered, and recommended by AI". DeepSeek marketing service providers are divided into two major camps: software marketing services and hardware deployment. This article will analyze the ecological landscape of these two types of service providers and, combined with the Generative Engine Optimization (GEO) methodology, provide a full-link guide for enterprises from provider selection to building brand AI cognitive assets.

The current market clearly divides DeepSeek marketing service providers into two major camps:

• Software marketing services: Focus on integrating DeepSeek capabilities into marketing scenarios and transforming them into actionable tools;
• Hardware deployment: Provide private deployment and computing power support to address pain points such as data security and compliance.

Software service providers offer four representative models through API access or deep integration:

1. Platform-based intelligent creative service providers (e.g., Baidu Marketing): One-click generation of advertising creatives, upgrading merchant agents, covering the full link, suitable for e-commerce/FMCG enterprises with large-scale advertising campaigns;
2. Omnichannel operation enhancement service providers (e.g., Huibo Technology): Data-driven + AI decision-making, optimizing user paths and private domain operations, suitable for retail brands focusing on omnichannel management;
3. Vertical industry scenario service providers (e.g., Mingyuan Cloud): Industry-specific models and scenario-based applications, serving over 2500 real estate projects, suitable for vertical fields like real estate;
4. Enterprise-level technology enablers (e.g., BeyondSoft): Customized development and system integration, suitable for large B2B enterprises.

Capability comparison:

• Creative production efficiency: Baidu Marketing > Huibo Technology > Mingyuan Cloud > BeyondSoft
• Vertical industry depth: Mingyuan Cloud > Huibo Technology > Baidu Marketing > BeyondSoft
• Customization flexibility: BeyondSoft > Mingyuan Cloud > Huibo Technology > Baidu Marketing
• Deployment convenience: Baidu Marketing > Huibo Technology > Mingyuan Cloud > BeyondSoft

Hardware service providers offer two types of solutions:

1. Xinchuang (National IT Innovation) integrated machine solutions (e.g., Shanghai Zhisuan Xingyun): Full range of DeepSeek Xinchuang integrated machines, supporting domestic GPUs and private deployment, data does not leave the domain, suitable for highly compliant industries such as finance/government affairs;
2. Intelligent computing power pooling solutions (e.g., 4Paradigm in collaboration with Huawei Ascend): SageOne IA inference integrated machine, dynamically scheduling computing power, pay-as-you-go, suitable for enterprises with fluctuating computing power demands.

Comparison of deployment modes:

• Private integrated machine: High initial investment, low long-term cost, strong security, limited scalability;
• Computing power leasing/pooling: Low initial investment, flexible scalability, security depends on the service provider.

Key selection dimensions: Data sensitivity, regulatory requirements, budget model, technical capabilities.

Enterprise provider selection needs to be accurately matched based on their own characteristics:

1. Scale efficiency orientation: Sufficient budget, large-scale campaigns → Priority to platform-based service providers like Baidu Marketing, verify creative quality and conversion efficiency;
2. Vertical industry depth orientation: Strong industry attributes, complex processes → Priority to vertical service providers like Mingyuan Cloud, verify industry cases and integration difficulty;
3. Data security sovereignty orientation: Sensitive data, high compliance requirements → Priority to hardware service providers like Shanghai Zhisuan Xingyun, verify Xinchuang compatibility and after-sales capabilities.

Common pitfalls to avoid: Focusing only on functions, underestimating operation and maintenance costs, ignoring industry experience; Recommended steps: Clarify pain points → Screen candidates → POC testing → Evaluate scalability.

The core of Generative Engine Optimization (GEO) is to enable brands to gain an advantage in AI decision-making. The BASS model evaluates six dimensions:

• Presence: Implant brand keywords;
• Relevance: Match user intent;
• Reputation: Implant positive evidence;
• Differentiation: Shape unique tags;
• Consistency: Unify cross-platform information;
• Authority: Link to high-weight information sources.

Practical four-step method: Diagnosis (analyze shortcomings) → Production (structured content) → Distribution (authoritative channels) → Monitoring (track performance). Case: Baidu Marketing users can publish the "DeepSeek Advertising Creative Best Practices White Paper" to increase AI citation rates.

Three trends in the DeepSeek marketing ecosystem: Service verticalization, product integration, optimization systematization.

Enterprise action roadmap:

• Immediate action: Complete demand assessment and candidate screening within 2 weeks;
• Synchronous layout: Incorporate GEO optimization into planning;
• Long-term construction: Choose full-link partners to achieve a closed-loop flywheel.

At the inflection point where AI reshapes information entry points, enterprises need to make their brands occupy an irreplaceable position in AI narratives and complete the leap from "being searched" to "being understood and recommended".