Frost & Sullivan, in collaboration with LeadLeo Research, has released the 'White Paper on Brand Value Management in the New AI Era 2025'

AI search is rapidly sweeping the globe with a disruptive wave, and its penetration rate is astonishing. Both global and Chinese markets have seen explosive growth in MAUs, with data showing that over 80% of users have quickly developed a high degree of dependence on daily use. AI search, with its unprecedented powerful information integration and intelligent generation capabilities, is fundamentally reshaping the inherent paths and mental models by which users obtain information and make consumption decisions. This marks the full commencement of a new digital era driven and defined by AI.

As AI becomes a new entry point for information, corporate marketing budgets are shifting from traditional SEO (Search Engine Optimization) to GEO (Generative Online Experience) optimization. It is expected that the global GEO market size will reach 373.9 billion RMB by 2029, with a five-year compound annual growth rate of up to 139.2%, marking an inevitable strategic transformation for companies to adapt to the next generation information entry point and capture user minds.

The current market is facing severe risks due to the proliferation of low-quality GEO operations (such as content spamming and click fraud). Technically, the 'black box' nature of AI models leads to extremely unstable output results; commercially, brands need to continuously invest high costs to maintain rankings and are prone to ineffective homogeneous competition; legally, it can easily lead to malicious competition and content pollution, and even be used to fabricate false information to tarnish a company's reputation. Once AI adopts these false or exaggerated contents, it can seriously mislead consumers and undermine the authenticity of brand images and the entire information ecosystem.

In the information ecosystem reshaped by the AI era, the brand value management paradigm also needs to undergo a fundamental transformation. The core of the new paradigm is that brands should shift from passively adapting to external AI search rules to more proactive strategies—namely, supplying authoritative, credible, and systematic core corpora to large models, thereby deeply participating in the construction of their internal knowledge systems and leading the shaping of brand cognition.

Brand value management in the AI era is a systematic closed-loop process aimed at helping brands transform their intangible cognitive systems into stable, credible, and long-term-held digital assets within the AI information ecosystem.

The primary step in brand value management is a comprehensive baseline diagnosis of the brand's current cognitive status and visibility in the AI environment. This initiative aims to ensure the accuracy of subsequent optimization strategies and provide a benchmark for quantitatively evaluating implementation effectiveness. Leveraging the effect evaluation platform of the LeadLeo Research Institute, specialized diagnostic indicators such as the G.A.O/GEO index, AINPS index, and brand mentions can be used to construct a clear and multi-dimensional AI cognitive portrait for enterprises.

Secondly, cognitive optimization is dedicated to structurally reshaping the discrete value information of enterprises. This process is based on objective facts and relies on LeadLeo's professional research methodology to distill and integrate unstructured content into a knowledge system with rich context and a rigorous logical chain. Its core lies in constructing complete and credible value narratives, precipitating information into authoritative cognitive assets that AI can efficiently absorb, providing standardized analytical inputs for subsequent stages.

Furthermore, it achieves a closed-loop process for cognitive optimization. By diagnosing the AI environment and visibility through ACBS, it provides data-based decision-making for G.A.O. Subsequently, a large model standard corpus is used to optimize the content of G.A.O. Finally, ARA quantitatively analyzes the execution effect of G.A.O. and evaluates the effectiveness of reputation improvement, forming a complete closed-loop of ACBS-G.A.O.-ARA.

Finally, entering the continuous monitoring and cognitive consolidation phase, the core is to strategically distribute and continuously amplify the optimized cognitive system. Relying on LeadLeo's authoritative media matrix, content is precisely injected into the high-citation information channels of AI models. At the same time, this phase will link up with the 'Brand AI Index Diagnosis' platform to build a continuous verification loop of 'distribution + monitoring'. By tracking model optimization effects and real-time insights into cognitive penetration changes, the aim is to implant precise brand cognition into key information domains, ultimately precipitating into quantifiable brand digital assets and constructing a solid cognitive moat.

Facing the hidden and far-reaching harm of harmful language materials in the AI information ecosystem, like microplastics, LeadLeo has joined hands with Zhiyu AI to advocate for the G.A.O (Generative Awareness Optimization) concept of generative content optimization from the perspective of industry whistleblowers, calling on the entire industry to address the issue at its source. Both parties advocate for 'value-based' practices to discard the accumulation of false information, 'authoritative co-construction' with national-level media to strengthen the credibility of language materials, and 'source governance' to resolutely resist false and harmful language materials. Together, they aim to purify the AI information environment, issue warnings for building a healthy, credible, and sustainable AI content ecosystem, and provide systematic solutions.