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 Cannibalization Audit 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.
Paste a target query and domain. The audit runs a search and identifies when multiple URLs from the same domain are competing for a single query, the classic SEO self-competition pattern. Recommends consolidation, canonicalization, or intent-splitting fixes.
What it actually checks
Extract of the audit's real findings — the same strings the tool prints when a check trips. Use this as a sanity check before you run the audit live:
Warnings (fix these same-month):
- Your site not in top 30 for this query
Info-only (context for the fix plan — not a failure):
- No own-site results returned by site: query
Pass signals (keep doing these):
- One URL from your site ranks for this query
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.
- 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.
- Mega Analyzer — surfaces content-quality issues alongside every other dimension.
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.
