Retrieval readiness is the degree to which a piece of content is structured to retrieve well at the passage level: answer-first structure, one semantic center per section, self-contained passages that make sense without surrounding context, and sufficient depth to score well in reranking.
Retrieval readiness is the practical audit criterion for AI citation optimization. It translates the abstract mechanics of embedding geometry and reranking into a set of structural checks: does this passage answer one question? Does it open with the answer? Is it self-contained? Is it deep enough for the reranker to score it above competing content? Content that passes these checks will retrieve more consistently than content that does not, across platforms and query types.