The conventional understanding of search is changing as more users opt for AI-generated responses over traditional search engine clicks. A survey in Japan revealed that 28.7% of respondents had used generative AI for everyday inquiries. Companies must adapt to this shift, as tools like Google’s AI Overviews have led to a notably reduced click-through rate of 34.5% for top search results. This shift from SEO to AEO (Answer Engine Optimization) signifies a need for businesses to optimize their data for AI systems, focusing on becoming reliable sources for AI outputs.
The main focus has shifted from page-based optimization to entity-based evaluations, where AI analyzes information connections. This transition implies that maintaining consistent information about a company or product enhances the likelihood of being referenced by AI. Accurate structuring of content is essential for AI extraction and summarization. Organizations need to collaborate across marketing, public relations, and support departments to refine their information design for AI selection, ensuring they remain relevant in an era dominated by AI-driven responses. Overall, these adaptations are crucial for companies to navigate changes in search economics and maintain their visibility in a rapidly evolving digital landscape.
👉 Pročitaj original: CIO Magazine
