Freshness Algorithm (QDF)

Definition

The Freshness Algorithm refers to Google\'s system for rewarding recently published or recently updated content for queries where the time of publication is a relevant quality signal. The underlying concept — "Query Deserves Freshness" (QDF) — was publicly described by Google engineer Amit Singhal in 2011. Not all queries benefit from fresh content: a search for "how photosynthesis works" doesn\'t require a recently published article. But a search for "Apple event 2026" or "US election results" or "best smartphones 2026" strongly favors recently published pages. Google classifies queries into freshness needs: **Breaking news and events**: highest freshness weight — real-time or same-day publication. **Ongoing trends**: questions about evolving topics (AI tools, software versions, prices) where recent information is more accurate. **Recurring events**: annual or periodic events (Super Bowl, US elections, annual reports) where the most recent occurrence is most relevant. **Evergreen queries**: little to no freshness weight — historical facts, educational explanations, technical how-tos. Content freshness signals: datePublished in Article schema, `<meta http-equiv="last-modified">`, HTTP Last-Modified header, Googlebot\'s observed change frequency on each URL, and the presence of current dates/years in the content.

Why it matters for SEO

For time-sensitive topics, fresh content can outrank older, more authoritative pages. A freshly published article on a breaking news event from a mid-authority site can appear above an older evergreen guide from a high-authority domain if the query is classified as needing fresh content. Understanding QDF helps in deciding when to update existing content (for recurring queries like "best X in 2026"), when to publish promptly (for breaking news), and when freshness is irrelevant (for stable educational queries where comprehensive, well-linked content outranks freshly published thin content).

How DeepSEOAnalysis checks this

DeepSEOAnalysis checks freshness signals in structured data: whether Article JSON-LD on blog and news posts includes datePublished in ISO 8601 format, whether dateModified is set and recent (when content has been materially updated), and whether the datePublished matches the visible publication date on the page (date displayed on page vs date in schema should be consistent — discrepancies are a signal manipulation flag). The audit does not classify which queries deserve freshness — that is query-level analysis requiring SERP data.