Content freshness checker
AI engines strongly prefer fresh content, and they read dates by machine. No machine-readable date means no chance in recency-weighted retrieval.
Why it matters for AI search
About half of AI-cited content is under 13 weeks old. Pages under 30 days old earn around 3.2x more citations. Perplexity picks current-year pages at 1.69x the rate of last year’s. A current year in your title correlates with about 30% more citations on time-sensitive topics.
GetSlurp checks that datePublished and dateModified exist in your markup, that the page was updated recently enough to compete, and that nothing contradicts the story. A 2023 copyright line in the footer undercuts a fresh dateModified in the schema.
What GetSlurp checks
This list comes straight from the audit engine, so it always matches what the extension and MCP server actually run.
fresh.machine-datesGradedAbout half of AI-cited content is under 13 weeks old; undated pages cannot compete in recency-weighted retrieval at all.
Fix: Add datePublished and dateModified to the page schema and show a matching visible date.
fresh.recencyGradedContent under 30 days old earns ~3.2x more AI citations; Perplexity retrieves current-year pages at 1.69x the prior year.
Fix: Update the page substantively and bump dateModified; stale pages lose recency-weighted retrieval.
fresh.visible-yearGradedA current-year signal in the title correlates with ~+30% citation rate on time-sensitive topics.
Fix: Where the topic is time-sensitive, include the current year in the title or top heading and keep it accurate.
fresh.stale-signalsGradedVisible staleness (an old copyright year, "updated 2023") contradicts freshness signals and undermines both.
Fix: Update the footer copyright year and remove stale "updated" strings.
Try GetSlurp free
Audit any page with 60+ checks across 12 categories. No sign-up, runs on your machine.