TL;DR. Google's HCU + March 2024 core updates penalized "written-for-SEO" content. Recovery takes 6–12 months of removal + rewrite. Content that reads helpful to humans reads helpful to AI retrieval too.
The GitHub Authority is the audit you reach for when you already suspect a problem in this dimension and need a fast, copy-paste-able fix list. It reuses the same chrome as every other jwatte.com tool — deep-links from the mega analyzers, AI-prompt export, CSV/PDF/HTML download — but the checks it runs are narrow and specific to the dimension described above.
Score any GitHub profile, organization, or repository for topical authority signals AI models look at: README depth, topic tags, release cadence, stars, contributors, and schema-ready Organization/Person links.
Why this dimension matters
Google's Helpful Content Update (HCU) and the March 2024 Core Update together penalized sites with high ratios of "written-for-SEO" or "written-for-AI" content. Recovery paths are slow (6–12 months) and require removing or rewriting the offending pages — not adding more. Content that reads helpful to a human also reads helpful to the retrieval step in AI search.
Common failure patterns
- Title vs content mismatch — a title that promises "2026 pricing" over content that references 2022 numbers. The audit flags when the title's key terms don't appear in the first 300 words of content.
- Keyword cannibalization — two pages ranking for the same query, each diluting the other. Consolidate with a 301 redirect from the weaker URL to the stronger; keep the unique value in the winning page.
- Content decay — pages that ranked position 3 two years ago and now rank position 12. The fix is usually a content refresh (new year in the title, new examples, updated screenshots) + a re-submission via IndexNow.
- Author bylines missing or generic — "Written by Staff" or "Admin" signals low E-E-A-T. Every post should carry a real author byline with a Person schema and a bio link.
How to fix it at the source
Build an editorial refresh cadence: every published piece gets a review at 6, 12, and 24 months. Add dateModified + a visible "Updated on" stamp. Wire real author schema via author.url → a bio page with Person schema + sameAs to LinkedIn / Wikidata / ORCID. For cannibalization, use the tool's consolidation plan; don't try to rank two pages for one query.
When to run the audit
- After a major site change — redesign, CMS migration, DNS change, hosting platform swap.
- Quarterly as part of routine technical hygiene; the checks are cheap to run repeatedly.
- Before an investor / client review, a PCI scan, a SOC 2 audit, or an accessibility-compliance review.
- When a downstream metric drops (rankings, conversion, AI citations) and you need to rule out this dimension as the cause.
Reading the output
Every finding is severity-classified. The playbook is the same across tools:
- Critical / red — same-week fixes. These block the primary signal and cascade into downstream dimensions.
- Warning / amber — same-month fixes. Drag the score, usually don't block.
- Info / blue — context only. Often what a PR reviewer would flag but that doesn't block merge.
- Pass / green — confirmation. Keep the control in place.
Every audit also emits an "AI fix prompt" — paste into ChatGPT / Claude / Gemini for exact copy-paste code patches tied to your specific stack.
Related tools in this family
- HCU Pattern Detector — flags the specific HCU patterns that caused Sept 2023 / March 2024 deranks.
- Cannibalization Audit — identifies pairs of pages competing for the same query + emits the consolidation plan.
- Content Decay Audit — tracks ranking decline over time per URL — 90+ day drift is the refresh trigger.
- E-E-A-T Audit — scores the four E-E-A-T pillars from Person + Org schema + sameAs depth.
- Author Authority per Article — per-article author-entity audit — catches missing bylines + weak Person schema.
Fact-check notes and sources
- Google: Creating helpful, reliable, people-first content
- Google: March 2024 Core Update release notes
- Google: E-E-A-T in Search Quality Rater Guidelines
- Google: Search Central - Author identity in structured data
This post is informational and not a substitute for professional consulting. Mentions of third-party platforms in the tool itself are nominative fair use. No affiliation is implied.
