Group 1 - The core viewpoint is that AI search is shifting from "list clicks" to "direct answers," leading to a decline in the marginal utility of traditional SEO in AI search scenarios. The concept of "GEO" is emerging as a new marketing technology paradigm focused on being "trusted by AI" [1] - GEO is fundamentally a "trust engineering" under the AI search/RAG architecture, with its core goal evolving from "increasing webpage click rates" to "enhancing brand trust and citation frequency in AI answers." The optimization logic now emphasizes "semantic relevance + structural readability + authoritative endorsement" [1] - The market potential is driven by both the replacement of existing SEO budgets and new budgets for AI search, with a forecast that the global market could exceed $100 billion by 2030 [1] Group 2 - The business model is transitioning from project-based to a hybrid model of "subscription-based SaaS + performance-based payment," with expectations of a significant increase in gross margin centrality [1] - The industry concentration ratio (CR3) is approximately 57.5%, aligning with the characteristics of the computer software industry, which is marked by "high technology + high concentration" [1] - Future traffic is expected to increasingly concentrate on AI tools, indicating a profound transformation in the marketing industry [1] Group 3 - The software ETF (515230) tracks the software index (H30202), which reflects the market performance of the software industry, covering various software development and service companies [1] - This index exhibits high growth potential and volatility, with industry allocation concentrated in the information technology sector, particularly in application software, system software, and internet services [1]