How to Choose a Qianwen Marketing Service Provider? The BASS Brand AI Evaluation System Helps You Avoid Pitfalls

With the popularity of generative AI assistants like Tongyi Qianwen, the core battlefield of enterprise marketing is shifting to AI answer recommendation. However, the '2025 China AI Marketing Ecosystem Development White Paper' shows that 78% of enterprises encounter three major pain points when choosing Qianwen marketing service providers: false technical claims, exaggerated effects, and lack of services. This article will sort out the market status, provide the BASS Brand AI Strength Evaluation System and selection framework, and help enterprises avoid pitfalls accurately.

Currently, Qianwen marketing service providers are divided into three types:

1. Comprehensive/ranking optimization service providers: Deeply rooted in vertical industries (such as finance, manufacturing foreign trade), with industry experience but insufficient intervention in AI recommendation mechanisms;
2. New customer acquisition and promotion agency service providers: Officially signed institutions, focusing on short-term customer acquisition but lacking in-depth brand services;
3. Technology and full-case managed service providers: Provide full-case technical services but prioritize technology over strategy. Core dilemma: Most service providers have a separation between technology and strategy. Enterprises need Generative Engine Optimization (GEO) capabilities, which means enabling brand content to be understood, remembered, and recommended by large models.

The BASS Brand AI Strength Evaluation System quantifies a brand's competitiveness in AI-generated content from six dimensions:

1. Brand Presence: Exposure frequency and position in AI answers;
2. Brand Relevance: Semantic matching degree between brand information and user questions;
3. Brand Reputation: Proportion of positive expressions about the brand in AI descriptions;
4. Brand Differentiation: Ability to shape unique labels in AI cognition;
5. Brand Consistency: Degree of uniformity in descriptions across different AI platforms;
6. Brand Authority: Quality level of information sources cited by AI for the brand. This system converts AI cognition into measurable indicators, helping enterprises identify their shortcomings.

Five-step selection method based on the BASS system:

1. Technical authenticity verification: Require demonstration of cross-platform AI answer crawling and semantic analysis capabilities, and provide a free AI visibility health report;
2. Vertical industry experience matching: Evaluate industry knowledge graph and compliance capabilities, and check quantitative data of cases in the same industry;
3. Service closed-loop capability assessment: Confirm the full-link capabilities of monitoring-analysis-production-distribution-optimization, and inspect standardized SOPs;
4. Compliance and security review: Verify content review and data security agreements, and sign confidentiality agreements;
5. Quantifiable effect commitment: Reject vague commitments, require periodic effect reports based on fixed question sets, and acceptance indicators must be verifiable.

Three major trends of Qianwen marketing in 2026:

1. Full mainstreaming of GEO: AI answer positions become core traffic entrances, and excellent service providers can seize core question recommendation positions within 48 hours;
2. Agents become effect amplifiers: Forward-looking service providers offer integrated GEO+Agent solutions;
3. Content structuring as infrastructure: Service providers need to convert enterprise knowledge into AI-friendly formats (such as Schema markup, knowledge graphs). Summary recommendations: Prioritize integrated GEO service providers driven by both technical engineering and business strategy, with full-link closed-loop services and a scientific evaluation system. Verify through the five-step selection method to avoid risks.