Does content freshness affect AI recommendations?

Content freshness is a real AI-visibility factor, most sharply for the live-retrieval assistants — Perplexity, ChatGPT Search, Gemini with AI Overviews, Copilot — which lean on current web results and visibly prefer pages that are recent, dated and clearly maintained. When two pages answer a buyer's question equally well, a model retrieving live sources will usually favor the one that signals it is up to date: a visible publish or updated date, current facts, recent reviews, and no stale or contradicted claims. Freshness also matters for trust — outdated hours, prices, or service details that contradict your other listings can make a model describe you wrong or hesitate to name you at all. The nuance is that freshness is a tiebreaker layered on top of authority and relevance, not a substitute for them, and freshness theater (changing a date without changing the content) fools nobody. The move that works is genuinely maintaining your key pages: update facts as they change, refresh cornerstone content on a real cadence, keep reviews and listings current, and show honest dates so retrieval-based assistants can see you are alive and accurate.

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