聊天機器人是品牌必須爭取的新影響者

• Large language models (LLMs) powering chatbots like ChatGPT and Gemini are trained on data from social media platforms, with social networks contributing to 3 of the top 10 most commonly cited domains in ChatGPT responses[2] • ChatGPT holds over 80% market share in AI chatbots as of early 2026[4] • AI chatbots shift consumer preferences more effectively than traditional advertisements, with single interactions capable of moving decisions by several points[1] • Brands must ensure product pages, availability, reviews, and pricing are visible to LLMs to minimize friction between intent and conversion[4] • Ahrefs research indicates a brand's visibility in generative engines is directly correlated with mentions on YouTube, making video a must-have marketing asset[4] • Instacart has integrated shopping capabilities directly into ChatGPT through the agentic commerce protocol, enabling checkout within the chatbot interface[4]

The rise of AI chatbots as brand intermediaries fundamentally restructures marketing workflows. Rather than targeting end consumers directly, brands must now optimize for algorithmic visibility across multiple platforms simultaneously. This creates new competitive advantages for companies with strong digital PR, creator partnerships, and content production capabilities. The shift also increases dependency on third-party platforms (Reddit, YouTube, social networks) for brand visibility, potentially concentrating marketing power among platforms that feed LLM training data. Long-term, this may accelerate the decline of traditional search and direct advertising, requiring marketers to develop new KPIs and measurement frameworks focused on algorithmic recommendation rather than direct engagement metrics.