How AI Evaluates Content Freshness and Recency

Large language models evaluate content freshness by processing probabilistic temporal signals, including publication dates, update markers, internal temporal references and publishing consistency across an organisation's domain. For most B2B topics, content published 12 to 24 months ago sits in the optimal recency window. Clear update markers signal active maintenance, while consistent publishing cadences reinforce output accuracy.