seo-freshness (M13)

SkillSearch

Audit and repair freshness & temporal signals on a page — reconcile visible publish/update dates with schema datePublished/dateModified, flag staleness against topic volatility, and inject honest dateModified. Module M13. Feeds both the Search SEO and AI Visibility scores.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the seo-freshness (M13) skill

What this skill tells your AI

The instructions your AI receives, as published by hainrixz/claude-seo-ai in skills/seo-freshness/SKILL.md and read by ahel’s review.

Freshness is a recency signal both classic ranking systems (Query Deserves Freshness) and AI answer engines weigh — Perplexity in particular favours recently-updated sources when citing. Date fields tie directly to Article schema (cross-check M5); see references/schema-tier1.md for the date rules.

Inputs

Work from the PageSnapshot named in your dispatch envelope: read parsed from <run_dir>/pages/<slug>.json (jsonld[], metas[] for article:published_time/modified_time) plus headers.last-modified; Grep pages/<slug>.html for verbatim evidence; site artifacts live in <run_dir>/site/{robots.json,sitemaps.json,discovery.json}. Deterministic findings already emitted by audit.mjs are listed in <run_dir>/findings.deterministic.json — do not re-emit those ids; add model-judged findings only. If invoked directly with a URL/path and no snapshot exists, first run node "${CLAUDE_PLUGIN_ROOT}/scripts/snapshot.mjs" <target> --out "${CLAUDE_PLUGIN_DATA}/runs" and use the printed snapshot path.

Audits

Working from the PageSnapshot (parsed_rendered when render.used is not none, else parsed):

  1. Visible dates: detect on-page "Published" / "Updated on" / "Last reviewed" patterns and their values (ISO or human-readable).
  2. Schema dates: parse datePublished/dateModified from JSON-LD Article/BlogPosting/NewsArticle.
  3. Agreement: visible date and schema date must match; flag mismatches and schema dates with no visible counterpart (AI engines distrust hidden-only dates).
  4. Staleness: estimate content age (most recent reliable date) vs topic volatility — fast-moving topics (prices, tooling, "best X 2026", regulations) decay faster than evergreen reference content. Report stale, not just old.
  5. Pattern hygiene: "updated on" with no substantive content change is a freshness anti-pattern — note it, never recommend it.

Fixes

  • AUTO (fixable: auto): inject a missing dateModified into existing Article schema as an additive diff for fix. Never backdate to a false date — use the verifiable last-change date (e.g. Last-Modified header / repo mtime / today) or leave a clearly-marked TODO placeholder the user confirms.
  • PROPOSED (fixable: proposed): surface visible-vs-schema date mismatches with the corrected value as a draft requiring per-item accept; never auto-rewrite a date the user must verify.
  • ADVISORY (fixable: advisory): recommend a genuine content refresh for stale-on-volatile pages — the tool never writes editorial content. Never fabricate dates or invent an update that did not happen.

Verification

  • dom_assert: visible date string present and parses; matches schema value.
  • schema_validator: datePublished/dateModified present, valid ISO 8601, dateModified >= datePublished.
  • header_check: HTTP Last-Modified header corroborates the claimed modification date.
  • When the live tier (header fetch / validator) is unavailable, status is needs_api, never a false pass.

Findings

Findings conform to schema/finding.schema.json; axis both; confidence directional throughout. Severity policy: 5 is reserved for catastrophic, eligibility-killing facts at site/template scope; 4 major · 3 moderate · 2 minor · 1 cosmetic · 0 informational — and only an established severity-5 fail in an active category can cap a score (references/scoring-model.md). Freshness never caps.

  • M13.datemodified.missing — Article schema with datePublished but no dateModified (fail, severity 3, fixable: auto).
  • M13.dates.visible_schema_mismatch — visible "Updated May 2025" against schema dateModified: 2023-01-10 (warn, severity 3, fixable: proposed).
  • M13.content.stale_volatile — a "best X 2024" page unchanged for two years on a fast-moving topic (warn, severity 2, fixable: advisory).
  • M13.schema.date_unparseable — a date field that exists but does not parse as ISO 8601, or a page with several dateModified values (the latest wins, and the conflict is reported) (warn, severity 2, fixable: proposed). Emit this instead of a mismatch: an unreadable date is a parsing gap, not proof the dates disagree. Each finding: evidence.observed quotes the page (date string + selector); verification.reproduce is a runnable assertion (e.g. node "${CLAUDE_PLUGIN_ROOT}/scripts/check-freshness.mjs" --snapshot <pages/<slug>.json> [--lang en|es|auto] (or --url <u>)); expected_impact is banded + confidence-tagged, with any published number confined to rationale with a citation.

Honesty

  • Freshness is a contextual signal, not a universal ranking boost — refreshing evergreen content rarely moves rankings, and a dateModified bump without a real content change is detectable and adds no durable value. Confidence here is directional, never established; never present a date edit as a guaranteed ranking gain or backdate to fake recency.
  • Date parsing is language-bound: Spanish month names and article:published_time/article:modified_time are read, but an unrecognized format produces M13.schema.date_unparseable, never a fabricated mismatch.

Signals

GitHub stars
59
Forks
5
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
seo-freshness
Source
github.com/hainrixz/claude-seo-ai