Run the full 80-item CORE-EEAT audit across 8 dimensions with content-type weighted scoring, veto checks, and prioritized fix plans. Use when the user asks to "audit content quality", "EEAT score", "CORE-EEAT audit", "content quality check", "how good is my content", "content improvement plan", "is my content AI-citation worthy", "GEO quality score". For SEO page element audits, see on-page-seo-auditor. For domain-level authority, see domain-authority-auditor.
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Run the full 80-item CORE-EEAT audit across 8 dimensions with content-type weighted scoring, veto checks, and prioritized fix plans. Use when the user asks to "audit content quality", "EEAT score", "CORE-EEAT audit", "content quality check", "how good is my content", "content improvement plan", "is my content AI-citation worthy", "GEO quality score". For SEO page element audits, see on-page-seo-auditor. For domain-level authority, see domain-authority-auditor.
license
Apache-2.0
allowed-tools
WebFetch
compatibility
Claude Code ≥1.0, skills.sh marketplace, ClawHub marketplace, Vercel Labs skills ecosystem. No system packages required. Optional: MCP network access for SEO tool integrations.
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This skill evaluates content quality across 80 standardized criteria organized in 8 dimensions. It produces a comprehensive audit report with per-item scoring, dimension and system scores, weighted totals by content type, and a prioritized action plan.
When to Use This Skill
Auditing content quality before publishing
Evaluating existing content for improvement opportunities
Benchmarking content against CORE-EEAT standards
Comparing content quality against competitors
Assessing both GEO readiness (AI citation potential) and SEO strength (source credibility)
Running periodic content quality checks as part of a content maintenance program
After writing or optimizing content with seo-content-writer or geo-content-optimizer
What This Skill Does
Full 80-Item Audit: Scores every CORE-EEAT check item as Pass/Partial/Fail
Dimension Scoring: Calculates scores for all 8 dimensions (0-100 each)
System Scoring: Computes GEO Score (CORE) and SEO Score (EEAT)
Weighted Totals: Applies content-type-specific weights for final score
With ~~web crawler + ~~SEO tool connected:
Automatically fetch page content, extract HTML structure, check schema markup, verify internal/external links, and pull competitor content for comparison.
With manual data only:
Ask the user to provide:
Content text, URL, or file path
Content type (if not auto-detectable): Product Review, How-to Guide, Comparison, Landing Page, Blog Post, FAQ Page, Alternative, Best-of, or Testimonial
Optional: competitor content for benchmarking
Proceed with the full 80-item audit using provided data. Note in the output which items could not be fully evaluated due to missing access (e.g., backlink data, schema markup, site-level signals).
Instructions
When a user requests a content quality audit:
Step 1: Preparation
### Audit Setup**Content**: [title or URL]
**Content Type**: [auto-detected or user-specified]
**Dimension Weights**: [loaded from content-type weight table]
#### Veto Check (Emergency Brake)
| Veto Item | Status | Action |
|-----------|--------|--------|
| T04: Disclosure Statements | ✅ Pass / ⚠️ VETO | [If VETO: "Add disclosure banner at page top immediately"] |
| C01: Intent Alignment | ✅ Pass / ⚠️ VETO | [If VETO: "Rewrite title and first paragraph"] |
| R10: Content Consistency | ✅ Pass / ⚠️ VETO | [If VETO: "Verify all data before publishing"] |
If any veto item triggers, flag it prominently at the top of the report and recommend immediate action before continuing the full audit.
## CORE-EEAT Audit Report### Overview-**Content**: [title]
-**Content Type**: [type]
-**Audit Date**: [date]
-**Total Score**: [score]/100 ([rating])
-**GEO Score**: [score]/100 | **SEO Score**: [score]/100
-**Veto Status**: ✅ No triggers / ⚠️ [item] triggered
### Dimension Scores
| Dimension | Score | Rating | Weight | Weighted |
|-----------|-------|--------|--------|----------|
| C — Contextual Clarity | [X]/100 | [rating] | [X]% | [X] |
| O — Organization | [X]/100 | [rating] | [X]% | [X] |
| R — Referenceability | [X]/100 | [rating] | [X]% | [X] |
| E — Exclusivity | [X]/100 | [rating] | [X]% | [X] |
| Exp — Experience | [X]/100 | [rating] | [X]% | [X] |
| Ept — Expertise | [X]/100 | [rating] | [X]% | [X] |
| A — Authority | [X]/100 | [rating] | [X]% | [X] |
| T — Trust | [X]/100 | [rating] | [X]% | [X] |
| **Weighted Total** | | | | **[X]/100** |
**Score Calculation**:
- GEO Score = (C + O + R + E) / 4
- SEO Score = (Exp + Ept + A + T) / 4
- Weighted Score = Σ (dimension_score × content_type_weight)
**Rating Scale**: 90-100 Excellent | 75-89 Good | 60-74 Medium | 40-59 Low | 0-39 Poor
### N/A Item Handling
When an item cannot be evaluated (e.g., A01 Backlink Profile requires site-level data not available):
1. Mark the item as "N/A" with reason
2. Exclude N/A items from the dimension score calculation
3. Dimension Score = (sum of scored items) / (number of scored items x 10) x 100
4. If more than 50% of a dimension's items are N/A, flag the dimension as "Insufficient Data" and exclude it from the weighted total
5. Recalculate weighted total using only dimensions with sufficient data, re-normalizing weights to sum to 100%
**Example**: Authority dimension with 8 N/A items and 2 scored items (A05=8, A07=5):
- Dimension score = (8+5) / (2 x 10) x 100 = 65
- But 8/10 items are N/A (>50%), so flag as "Insufficient Data -- Authority"
- Exclude A dimension from weighted total; redistribute its weight proportionally to remaining dimensions
### Per-Item Scores
#### CORE — Content Body (40 Items)
| ID | Check Item | Score | Notes |
|----|-----------|-------|-------|
| C01 | Intent Alignment | [Pass/Partial/Fail] | [observation] |
| C02 | Direct Answer | [Pass/Partial/Fail] | [observation] |
| ... | ... | ... | ... |
#### EEAT — Source Credibility (40 Items)
| ID | Check Item | Score | Notes |
|----|-----------|-------|-------|
| Exp01 | First-Person Narrative | [Pass/Partial/Fail] | [observation] |
| ... | ... | ... | ... |
### Top 5 Priority Improvements
Sorted by: weight × points lost (highest impact first)
1. **[ID] [Name]** — [specific modification suggestion]
- Current: [Fail/Partial] | Potential gain: [X] weighted points
- Action: [concrete step]
2. **[ID] [Name]** — [specific modification suggestion]
- Current: [Fail/Partial] | Potential gain: [X] weighted points
- Action: [concrete step]
3–5. [Same format]
### Action Plan
#### Quick Wins (< 30 minutes each)
- [ ] [Action 1]
- [ ] [Action 2]
#### Medium Effort (1-2 hours)
- [ ] [Action 3]
- [ ] [Action 4]
#### Strategic (Requires planning)
- [ ] [Action 5]
- [ ] [Action 6]
### Recommended Next Steps
- For full content rewrite: use [seo-content-writer](../../build/seo-content-writer/) with CORE-EEAT constraints
- For GEO optimization: use [geo-content-optimizer](../../build/geo-content-optimizer/) targeting failed GEO-First items
- For content refresh: use [content-refresher](../../optimize/content-refresher/) with weak dimensions as focus
- For technical fixes: run `/seo:check-technical` for site-level issues
Validation Checkpoints
Input Validation
Content source identified (text, URL, or file path)
Content type confirmed (auto-detected or user-specified)
Content is substantial enough for meaningful audit (≥300 words)
If comparative audit, competitor content also provided
Output Validation
All 80 items scored (or marked N/A with reason)
All 8 dimension scores calculated correctly
Weighted total matches content-type weight configuration
Veto items checked and flagged if triggered
Top 5 improvements sorted by weighted impact, not arbitrary
Every recommendation is specific and actionable (not generic advice)
Action plan includes concrete steps with effort estimates
Example
See references/item-reference.md for a complete scored example showing the C dimension with all 10 items, priority improvements, and weighted scoring.
Tips for Success
Start with veto items — T04, C01, R10 are deal-breakers regardless of total score
These veto items are consistent with the CORE-EEAT benchmark (Section 3), which defines them as items that can override the overall score.
Focus on high-weight dimensions — Different content types prioritize different dimensions
GEO-First items matter most for AI visibility — Prioritize items tagged GEO 🎯 if AI citation is the goal
Some EEAT items need site-level data — Don't penalize content for things only observable at the site level (backlinks, brand recognition)
Use the weighted score, not just the raw average — A product review with strong Exclusivity matters more than strong Authority
Re-audit after improvements — Run again to verify score improvements and catch regressions
Pair with CITE for domain-level context — A high content score on a low-authority domain signals a different priority than the reverse; run domain-authority-auditor for the full 120-item picture
Reference Materials
CORE-EEAT Content Benchmark — Full 80-item benchmark with dimension definitions, scoring criteria, and GEO-First item markers
references/item-reference.md — All 80 item IDs in a compact lookup table + site-level item handling notes + scored example report
Related Skills
domain-authority-auditor — Domain-level CITE audit (40 items) — the sister skill for full 120-item assessment
