Core Viewpoint - The article emphasizes that in the AI era, maintaining a stable ranking in AI-generated answers requires continuous dynamic optimization rather than a one-time effort. Brands that can consistently appear on the AI first screen have mastered the concept of "dynamic optimization" [1][3][38]. Group 1: Understanding GEO Ranking Dynamics - Many companies have a critical misunderstanding of GEO ranking, believing that spending money on optimization will yield permanent results. In reality, rankings can fluctuate dramatically due to competitors' actions and algorithm updates [3][4]. - The core reasons for ranking drops include competitors feeding AI with superior content, rapid algorithm changes, and evolving user query semantics [4][7][11]. Group 2: Consequences of Ranking Drops - A significant portion of potential customers (30%) only looks at the first screen of AI-generated answers, meaning that falling out of the top three can lead to substantial loss of leads [13][15]. - Brands that frequently disappear from AI rankings suffer irreversible damage to their trust ratings, making future optimization efforts significantly more costly [16][18]. - Missing the current "AI cognitive positioning period" can result in long-term disadvantages, as early adopters of dynamic optimization are establishing cognitive barriers in AI [20][23]. Group 3: Strategies for Dynamic Optimization - The article outlines a closed-loop system for dynamic optimization consisting of monitoring, optimizing, and iterating, which can enhance ranking stability by 40% compared to industry averages [25][36]. - A 24/7 AI radar monitoring system can predict algorithm changes and competitor dynamics, allowing brands to adapt proactively [26][28]. - Implementing a three-dimensional content iteration mechanism ensures that AI continuously recognizes and trusts the brand's information [29][31]. - Building an industry knowledge graph allows brands to become default references in AI responses, significantly improving visibility and ranking stability [32][34]. Group 4: Urgency for Action - The article stresses that companies still relying on one-time optimization are at risk of falling behind, as 63% of medium to large enterprises are already initiating GEO services with a focus on continuous optimization [36][38].