Dated Statistics Ratio

The Dated Statistics Ratio measures what share of a page's numeric claims sit next to a date. friendly4AI reads the body paragraphs, looks for numbers, checks whether each one has a time reference within 50 characters, and scores the percentage that do. Hit 80% or more dated claims and the page passes. Land between 40% and 79% and it scores partial. Fall below 40% and it fails. If a page has no numeric claims at all, it's skipped as not applicable.

What this parameter measures

friendly4AI walks the body paragraphs and pulls out numeric claims: percentages like 22%, currency amounts like $1.2M, multipliers like 3x, quantifier-prefixed counts like "over 5 million users", and bare year mentions. For each claim, it looks within 50 characters for a date. A date counts if it's a plausible year (1900-2100), a month name, a quarter (Q1-Q4), or a half (H1/H2). The score is simply the share of claims that are dated. Pages with no numeric claims are skipped as not applicable.

Why it matters for AI-readiness

When an AI engine decides what to cite, it leans hard on freshness and verifiability. Take an undated line like "engagement rose 30%". A model has no way to tell whether that figure is current or ten years stale, so it usually skips past it and reaches for a dated, attributable claim instead. Add the time period and the same number becomes citable: "engagement rose 30% in Q1 2025" tells the model both how recent the figure is and where it's anchored. Dated statistics are the kind of source AI systems quote, and they back up the entity consistency and structured data signals that frame the same facts.

How it's scored

The v4.5 methodology scores this Content Structure parameter as a gradient ratio. The processor counts every numeric claim, counts how many carry a date reference within 50 characters, and computes round(100 * datedClaims / totalClaims):

• Pass (100): 80% or more of numeric claims are dated.
• Partial (50): 40-79% of numeric claims are dated.
• Fail (0): fewer than 40% of numeric claims are dated.

A page with zero numeric claims is skipped (no_numeric_claims_detected) instead of scored, since there's nothing to date. One thing to watch: even though this parameter speaks to content quality, its published geoSubcategory is Content Structure, so it scores within that category.

How to fix a low score

• Append the year — and the month or quarter where you have them — to every percentage, dollar amount, and multiplier on the page.
• Rewrite "conversions doubled" as "conversions doubled in 2025" so the date lands in the same sentence as the number.
• Keep the date within roughly 50 characters of the figure. A date stranded in a separate paragraph earns no credit.
• For statistics you borrowed, cite the source period so AI engines can check the figure and trust it.
• Re-scan, then read the numericClaimsFound, datedClaimsCount, and undatedExamples evidence fields to see what's still missing.