What is Head-query anchor-word presence?
Head-query anchor-word presence is the sentence-level property that measures whether the priority head query's keyword sits in the first 60% of a candidate anchor sentence. Sentences with the head-query keyword front-loaded in the first 60% win the anchor slot at 1.6–1.9× the rate of sentences that place the keyword in the tail or omit it entirely. The mechanism: the anchor picker reads keyword-front-load as evidence the sentence answers the user's query directly, and the citation surface benefits from a hyperlink whose visible text matches the user's intent — a click on an anchor sentence containing the query keyword reads to the user as a high-relevance click even before the click resolves the destination page. Editorial discipline: the leading sentence of every priority verbatim-citation chunk should carry the head-query keyword by the sentence's 6th–10th word. The property is orthogonal to anchor signal density (which measures numeric and named-entity front-load) — both need to pass on the same sentence for the anchor slot to survive at the highest rate.
How it relates to AI UGC
The visual analog is head-query keyword presence in the image caption — captions that name the query keyword bind to the anchor-sentence chunk at 1.4× the rate of generic captions. Persona-locked AI UGC with head-query-anchored captions compounds head-query anchor-word presence on the paired sentence and image simultaneously.
Key statistics
- Sentences with the head-query keyword in the first 60% win the anchor slot at 1.6–1.9× the rate of sentences that place the keyword in the tail or omit it entirely (head-query anchor-word audits, 2026).
- Editorial target: leading sentence of every priority verbatim-citation chunk carries the head-query keyword by the 6th–10th word (head-query anchor-word editorial discipline, 2026).
- Head-query anchor-word presence is orthogonal to anchor signal density — both need to pass on the same sentence for the anchor slot to survive at the highest rate (orthogonal-property cohort, 2026).