AI search and RAG technologies are transforming SEO landscapes

The landscape of search engine optimization is shifting due to the rise of AI-driven search and Retrieval-Augmented Generation (RAG). Unlike traditional SEO, which focuses on ranking URLs for specific keywords, AI search models like ChatGPT, Perplexity, and Google AI Overviews utilize a multi-step process involving query understanding, retrieval, reranking, and generation.

This technical shift means content can fail to appear in AI answers even if it ranks highly in traditional search. Visibility depends on whether a content fragment is selected during the retrieval and reranking stages and subsequently cited during the generation phase.

Additionally, brands face new risks regarding how Large Language Models (LLMs) perceive them. Because LLMs are probabilistic, they may adopt narratives based on recurring information found on third-party platforms like Reddit. If negative sentiment dominates these external discussions, it can shape the AI-generated messaging regarding a brand, regardless of the brand's own official content.