Google has warned content creators and publishers that producing "bite-sized" content—short, fragmented pieces designed specifically to be easily consumed by large language models (LLMs)—is not a reliable way to maintain or improve search rankings. The company emphasized that the most effective strategy for long-term visibility in search is to create high-quality, original content that serves real human users, not algorithms. In a recent statement, Google reiterated its core principle: prioritize people over machines. The search giant explained that while LLMs can pull information from web content, they do not replace the need for comprehensive, well-researched, and valuable content. Content that is overly simplified, repetitive, or structured solely to be parsed by AI models may not perform well in search over time. Google noted that its algorithms are designed to reward content that provides depth, context, and genuine value. This includes detailed answers, original insights, and content that addresses user intent in a meaningful way. In contrast, content that is merely optimized for AI consumption—such as lists of bullet points, stripped-down summaries, or content with minimal context—can be seen as low-quality or even manipulative, potentially leading to lower rankings. The company also highlighted that its search results are not just about serving LLMs. They are about helping people find the information they need, whether that’s a step-by-step guide, a thorough analysis, or a nuanced explanation. When content is created with the user in mind, it naturally aligns with Google’s goals and is more likely to rank well. Google’s message is clear: while LLMs are increasingly using web content, they are not the end goal. The best way to succeed in search is to focus on creating content that people find useful, informative, and trustworthy. This human-first approach remains the most sustainable path to long-term success in the evolving digital landscape.