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This study aims to propose a practical diagnostic framework that enables companies to comprehensively assess their brand strategy readiness in the generative AI environment. Existing brand equity models, designed primarily for offline and early digital contexts, have structural limitations in addressing brand visibility within AI ecosystems, algorithmic responsiveness, and ethical governance. Adopting a conceptual framework development approach based on literature review, this study systematically analyzed prior research across brand strategy, digital marketing, AI marketing, and governance. As a result, the 'B-D-A-G Framework' was developed, comprising four dimensions: Brand(brand essence), Digital(digital touchpoints), AI (artificial intelligence responsiveness), and Governance(ethical control). Each dimension is structured around a core diagnostic question with detailed assessment items, enabling practitioners to intuitively evaluate their brand's current status. This study contributes academically by incorporating AI algorithm responsiveness and governance—previously overlooked by existing models—as core pillars of brand strategy. Future research should focus on empirical validation through case applications and the development of quantitative evaluation metrics.