Chunkability refers to how easily a piece of content can be broken down into smaller, coherent, and self-contained blocks of information, or 'chunks'. AI models, particularly those using Retrieval-Augmented Generation (RAG), process information in these chunks. Content that is well-structured with clear headings, subheadings, and logical paragraphs is considered to have high chunkability. This makes it easier for AI systems to retrieve and synthesize specific pieces of information to answer user queries, increasing the likelihood of the content being used in AI-generated responses.