AI cites the deep pages but sends humans to the homepage — most sites are built backward

Research has indicated that AI summaries on Google search results are leading to significantly lower click-through rates for relevant links, which can have a negative impact on publishers. This is because when users are presented with AI-generated summaries, they are less likely to click on the actual link, instead relying on the summary for information. While this may not directly affect the IT stack, it could signal changes to Google's search algorithm that may influence user behavior. As a result, enterprise IT teams may need to monitor user feedback and adjust their Google Workspace configurations accordingly. The changing nature of web navigation and the importance of clear, concise content in knowledge bases are also highlighted by this research. Google is the primary vendor involved in this scenario, and the broader industry implications include the potential for increased user fatigue related to AI-driven interface changes. This could lead to a shift in how users interact with Google Workspace and other knowledge bases, with a greater emphasis on easy-to-digest information. Enterprise IT teams should be aware of these potential changes and be prepared to adapt their strategies to meet the evolving needs of their users. The research also underscores the importance of optimizing content for search engines and ensuring that it is easily accessible and navigable. This may involve reevaluating the structure and design of knowledge bases and other online resources to ensure they are user-friendly and provide relevant information.