CONTENT STRATEGY · SEO GLOSSARY
Freshness Score
An estimate of how recently and how significantly a piece of content has been updated — used by Google\'s freshness algorithm to determine whether a page should receive a freshness boost for queries where users expect current information.
Definition
Freshness score is not an officially named Google metric but describes the signals Google uses to evaluate a page\'s recency for queries where freshness affects relevance. Google\'s freshness system (related to the QDF — Query Deserves Freshness — concept) considers: (1) `datePublished` in structured data — the explicit declaration of when content was first published; (2) `dateModified` in structured data — the last time content was meaningfully updated; (3) the lastmod attribute in sitemaps — when the URL was last modified according to the sitemap; (4) first-crawl date — when Googlebot first discovered and indexed the page; (5) content change significance — Google can detect whether changes to a page are substantive (major content updates) or trivial (changing a date without changing content); (6) update frequency — pages that are regularly updated receive a higher implicit freshness expectation than static pages. Freshness matters most for QDF queries: breaking news, product comparisons (prices and models change), regulatory or compliance topics (rules change), software documentation (versions change), travel and event information (schedules change), and opinion/commentary on current events. Freshness matters less for evergreen queries: historical facts, foundational concepts, how-to guides for stable processes.
Why it matters for SEO
Freshness score determines whether you can maintain rankings for time-sensitive queries as competitors publish newer content. For a "best laptops" buyer\'s guide, the model lineup from 2022 is stale — Google\'s freshness system will prefer guides that reflect current models. Systematically updating time-sensitive content (refreshing product mentions, updating statistics, revising guidance for current conditions) and updating `dateModified` in structured data to reflect those changes is how publishers maintain freshness scores on content that needs to compete on recency.
How DeepSEOAnalysis checks this
DeepSEOAnalysis checks freshness-related structured data: `datePublished` and `dateModified` properties in Article and NewsArticle schema. A page with a `datePublished` from years ago and no `dateModified` update is flagged as a freshness risk for queries where recency matters. The audit also checks the sitemap\'s `lastmod` date for the audited URL (where accessible) and whether it aligns with the structured data modification date. Discrepancies between the sitemap lastmod, the structured data dateModified, and visible "Last updated" text in the page content are flagged as freshness signal inconsistencies.
GLOSSARY
Related terms
content strategy
Content Freshness Decay
The gradual loss of ranking positions that time-sensitive content experiences as it ages and fresher competing content is published — most pronounced for queries where users expect recent information (news, product reviews, how-to guides with version-specific instructions).
Read definition →algorithm updates
Freshness Algorithm (QDF)
Google\'s Query Deserves Freshness (QDF) signal that boosts recently published or updated content for queries where recency is relevant — breaking news, trending topics, recently changed information, and event-based searches.
Read definition →structured data
Structured Data
Machine-readable annotations added to HTML — usually JSON-LD — that explicitly describe what a page is about to search engines and AI systems.
Read definition →See how your site scores on Freshness Score.
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