The claim
Answer-first content is more likely to be extracted and cited than answers buried mid-page.
What the evidence shows
Liu et al. found that large language models perform best when relevant information sits at the start or end of the context window, and noticeably worse when it is buried in the middle. This position bias means the placement of an answer within a passage materially affects whether a model uses it. Front-loading the direct answer improves the odds of extraction.