$npx -y skills add AgriciDaniel/claude-seo --skill seo-contentContent quality and E-E-A-T analysis with AI citation readiness assessment. Use when user says "content quality", "E-E-A-T", "content analysis", "readability check", "thin content", or "content audit".
| 1 | # Content Quality & E-E-A-T Analysis |
| 2 | |
| 3 | ## Google's "Who / How / Why" Test (canonical heuristic) |
| 4 | |
| 5 | Before scoring E-E-A-T sub-factors, every page audit should pass Google's |
| 6 | own three-question heuristic from the helpful-content guide: |
| 7 | |
| 8 | | Question | What to look for | |
| 9 | |---|---| |
| 10 | | **Who** created it? | Visible byline, author bio page, professional credentials. Required where readers expect it; non-negotiable for YMYL. | |
| 11 | | **How** was it created? | Process disclosure where readers would reasonably ask, especially for AI-assisted content. Original research / first-hand evidence / lived experience. | |
| 12 | | **Why** does it exist? | "To help people" rather than "to attract search clicks." Watch for niche entry without expertise, content churn for freshness signals, content written to a word-count target. | |
| 13 | |
| 14 | Primary source: |
| 15 | https://developers.google.com/search/docs/fundamentals/creating-helpful-content |
| 16 | |
| 17 | When all three answers are weak, the page is at risk under the core ranking |
| 18 | system's helpfulness signals (formerly the standalone Helpful Content System, |
| 19 | merged into core during the March 2024 update). |
| 20 | |
| 21 | ## E-E-A-T Framework (updated Sept 2025 QRG) |
| 22 | |
| 23 | Read `skills/seo/references/eeat-framework.md` for full criteria. |
| 24 | |
| 25 | ### Experience (first-hand signals) |
| 26 | - Original research, case studies, before/after results |
| 27 | - Personal anecdotes, process documentation |
| 28 | - Unique data, proprietary insights |
| 29 | - Photos/videos from direct experience |
| 30 | |
| 31 | ### Expertise |
| 32 | - Author credentials, certifications, bio |
| 33 | - Professional background relevant to topic |
| 34 | - Technical depth appropriate for audience |
| 35 | - Accurate, well-sourced claims |
| 36 | |
| 37 | ### Authoritativeness |
| 38 | - External citations, backlinks from authoritative sources |
| 39 | - Brand mentions, industry recognition |
| 40 | - Published in recognized outlets |
| 41 | - Cited by other experts |
| 42 | |
| 43 | ### Trustworthiness |
| 44 | - Contact information, physical address |
| 45 | - Privacy policy, terms of service |
| 46 | - Customer testimonials, reviews |
| 47 | - Date stamps, transparent corrections |
| 48 | - Secure site (HTTPS) |
| 49 | |
| 50 | ## Content Metrics |
| 51 | |
| 52 | ### Word Count Analysis |
| 53 | Compare against page type minimums: |
| 54 | | Page Type | Minimum | |
| 55 | |-----------|---------| |
| 56 | | Homepage | 500 | |
| 57 | | Service page | 800 | |
| 58 | | Blog post | 1,500 | |
| 59 | | Product page | 300+ (400+ for complex products) | |
| 60 | | Location page | 500-600 | |
| 61 | |
| 62 | > **Important:** These are **topical coverage floors**, not targets. Google has confirmed word count is NOT a direct ranking factor. The goal is comprehensive topical coverage; a 500-word page that thoroughly answers the query will outrank a 2,000-word page that doesn't. Use these as guidelines for adequate coverage depth, not rigid requirements. |
| 63 | |
| 64 | ### Readability |
| 65 | - Flesch Reading Ease: target 60-70 for general audience |
| 66 | |
| 67 | > **Note:** Flesch Reading Ease is a useful proxy for content accessibility but is NOT a direct Google ranking factor. John Mueller has confirmed Google does not use basic readability scores for ranking. Yoast deprioritized Flesch scores in v19.3. Use readability analysis as a content quality indicator, not as an SEO metric to optimize directly. |
| 68 | - Grade level: match target audience |
| 69 | - Sentence length: average 15-20 words |
| 70 | - Paragraph length: 2-4 sentences |
| 71 | |
| 72 | ### Keyword Optimization |
| 73 | - Primary keyword in title, H1, first 100 words |
| 74 | - Natural density (1-3%) |
| 75 | - Semantic variations present |
| 76 | - No keyword stuffing |
| 77 | |
| 78 | ### Content Structure |
| 79 | - Logical heading hierarchy (H1 -> H2 -> H3) |
| 80 | - Scannable sections with descriptive headings |
| 81 | - Bullet/numbered lists where appropriate |
| 82 | - Table of contents for long-form content |
| 83 | |
| 84 | ### Multimedia |
| 85 | - Relevant images with proper alt text |
| 86 | - Videos where appropriate |
| 87 | - Infographics for complex data |
| 88 | - Charts/graphs for statistics |
| 89 | |
| 90 | ### Internal Linking |
| 91 | - 3-5 relevant internal links per 1000 words |
| 92 | - Descriptive anchor text |
| 93 | - Links to related content |
| 94 | - No orphan pages |
| 95 | |
| 96 | ### External Linking |
| 97 | - Cite authoritative sources |
| 98 | - Open in new tab for user experience |
| 99 | - Reasonable count (not excessive) |
| 100 | |
| 101 | ## AI Content Assessment (Sept 2025 QRG addition) |
| 102 | |
| 103 | Google's raters assess low-quality, scaled, copied, or AI-generated main content patterns rather than AI authorship as a standalone issue. |
| 104 | |
| 105 | ### Acceptable AI Content |
| 106 | - Demonstrates genuine E-E-A-T |
| 107 | - Provides unique value |
| 108 | - Has human oversight and editing |
| 109 | - Contains original insights |
| 110 | |
| 111 | ### Low-Quality AI Content Markers |
| 112 | - Generic phrasing, lack of specificity |
| 113 | - No original insight |
| 114 | - Repetitive structure across pages |
| 115 | - No author attribution |
| 116 | - Factual inaccuracies |
| 117 | |
| 118 | > **Helpful Content System (March 2024):** The Helpful Content System was merged into Google's core ranking algorithm during the March 2024 core update. It no longer operates as a standalone classifier. Helpfulness signa |