Chunk-Level Annotation

The process by which search engine bots analyze discrete sections of a web page (chunks) to identify and label entities, topics, and attributes, assigning a confidence score.

This is the process where search engine bots analyze discrete sections of a webpage (chunks) to identify and label entities, topics, and attributes, assigning a confidence score to each. These annotations determine what is extracted to the Knowledge Graph and whether the chunk contributes to featured snippets or AI summaries.

We ensure that each chunk focuses on a single topic, mentions entities consistently, is surrounded by reinforcing signals like headings and schema, and fits within the page's broader semantic architecture.

This is the first and most granular level of machine understanding. If your content isn't well-structured at the chunk level, your entities may not be extracted, your facts won't be trusted, and your brand won't show up in rich results or AI outputs. It is the foundation of visibility in the modern SERP.