Content Chunking
Writing web copy as short, self-contained paragraphs that AI systems can retrieve and cite as independent, complete passages.
Plain Language Definition
Content chunking for web pages means writing copy as short, standalone blocks that can be read and understood completely out of context. Each paragraph answers one question or makes one point and does not depend on the reader having read the previous paragraph. This structure mirrors how RAG systems actually retrieve your content — one passage at a time, not the full page.
Technical Definition
On-page content design pattern segmenting document text into 40–200 word self-contained semantic passages with explicit entity references and independent factual completeness — optimized for passage-level vector database storage and RAG retrieval accuracy.
Why This Matters for AI Search Visibility
When an AI system retrieves a passage from your page to answer a question, it gets that passage in isolation. If your passage only makes sense with context from surrounding paragraphs, the retrieved chunk will seem incomplete or confusing. Self-contained passages produce cleaner, more citeable content.