Content Freshness Signals
TL;DR
Google uses freshness signals — publish dates, update frequency, schema dates — to determine if content is still relevant. Stale content slowly loses rankings.
Explain Simply
Content freshness is like the expiration date on food. Google checks if your content is 'fresh' or 'stale'. A page about '2024 SEO tips' that hasn't been updated in 2 years looks expired.
Content freshness refers to how recently content was published or meaningfully updated. Google's Query Deserves Freshness (QDF) algorithm boosts recently updated content for queries where timeliness matters — news, trends, annual events, and rapidly evolving topics.
Freshness signals include: datePublished and dateModified in structured data, visible publish/update dates on the page, HTTP Last-Modified headers, frequency of meaningful content changes (not just changing a date), and the proportion of new vs. unchanged content.
Not all queries need fresh content — 'how to boil water' doesn't change, but 'best smartphones 2026' does. Google evaluates freshness requirements per query. Artificially updating dates without changing content (date spoofing) can result in manual actions.
⚡Why It Matters
For time-sensitive queries, recently updated content ranks significantly higher. Google found that 35% of searches benefit from fresh results. Pages with accurate dateModified schema that reflect real updates see 15-25% more crawling activity.
🔍How AiSEO Checks
AiSEO checks for datePublished and dateModified schema, visible dates on the page, compares schema dates with actual content changes, and flags potentially stale content in competitive niches.
AiSEO Score Impact
Up to 2 points in the Content category (15% of total score)
Fix Difficulty
Editor: Easy | Developer: Easy | AI Agent: Easy