Core Insights - The rise of generative AI search is significantly impacting business decision-making, leading to a shift in how customers evaluate companies based on AI-generated responses [1] - Many businesses are experiencing a decline in visibility and customer traffic due to the reliance on AI for information, which diminishes the effectiveness of traditional marketing strategies [3] Group 1: Current Challenges - Companies are facing reduced exposure as customers increasingly depend on AI-generated answers rather than conducting broad searches [3] - A specific case shows that a company's previously stable customer flow has noticeably decreased since the popularity of generative AI, as potential customers are drawn to brands recommended by AI [3] Group 2: Understanding AI Mechanisms - To address the perception that "AI says this company is more reliable," it is essential to understand the AI generation mechanism, which includes intent recognition and E-E-A-T evaluation (Expertise, Authoritativeness, Trustworthiness, Timeliness) [4] - Content must meet certain standards in these dimensions to be referenced by AI, and tools like Yinzhilang GEO are being developed to help businesses optimize their content for better AI citation probability [4] Group 3: Strategic Shift in Marketing - The traditional marketing focus on "clicks" needs to evolve to emphasize "citations," where businesses should enhance the citation potential of their content to become valuable resources for AI-generated responses [9] - By optimizing content to improve professional information and authoritative statements, companies can increase their chances of being cited by AI, thereby enhancing visibility and credibility [9] - The transition from "clicks" to "citations" signifies a need for businesses to prioritize content quality and structure, leveraging GEO to improve their presence in AI-generated answers [9]