Contextual Structure (BLUF per H2)

Contextual Vector
Contextual Structure
Contextual Structure (BLUF per H2) is a principle where each H2 section starts with the key thesis in the first sentence: ready chunk for AI citation.

Contextual Structure is an article micro-structure where each H2 section starts with BLUF: the key answer in the first sentence (max 25 words). RAG doesn't read entire articles; it extracts chunks (fragments under H2), evaluates them separately, and cites or discards them, so every fragment must be self-sufficient. A chunk with the answer at the beginning scores higher than a chunk with the answer in the third paragraph — this directly follows from the 50-word rule (62% chance of citation). Chunk audit checklist includes five questions: (1) Is there BLUF at the beginning? (2) Is the chunk autonomous (understandable without the rest of the article)? (3) Is the Central Entity repeated min 2x (not pronoun)? (4) Are key terms present? (5) Is length appropriate (200-500 words) with no back-references ('as above', 'as mentioned')?

In practice, after writing an article, randomly cut out 2-3 H2 sections and read them in isolation. If you don't understand what they're about without the rest of the article, the chunk needs fixing. Contextual Structure implements the BLUF principle at the level of each section, not just at the article level.

Source: AI Semantic SEO Expert, Robert Niechciał (sensai.io)