What is Offer freshness?
Offer freshness is the recency signal an AI shopping assistant surface reads on a product feed to decide how much weight to give a candidate SKU. It is carried on the feed as an offer_freshness_timestamp on every SKU, refreshed on every feed run — even when nothing has actually changed. AI shopping surfaces treat offers whose freshness timestamp exceeds ~48 hours as stale and downweight them in ranking, because stale prices and stale availability produce bad shopper experiences when the model surfaces the wrong offer. The practical implementation: run a scheduled daily refresh that stamps every SKU with the current timestamp, and let real changes (price, availability, shipping, return policy) flow through when they exist. Offer freshness is the single most under-invested feed field in mid-2026 — most brands stamp it once at initial feed setup and never refresh it, then wonder why their SKUs disappear from the AI shopping surface after a week.
Key statistics
- AI shopping surfaces downweight offers whose freshness timestamp exceeds ~48 hours; assets exceeding a week typically drop out of the visible answer surface entirely.
- Daily-refresh feeds (freshness stamped on every SKU on every run) outperform weekly-refresh feeds on surface share by a large margin in mid-2026 benchmarks.
- The timestamp itself is the maintenance signal — feeds do not need to actually change their content to benefit from the freshness stamp.