--- name: seo-content-71ae39358161 description: > Content 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". user-invokable: true argument-hint: "[url]" allowed-tools: - web_open - web_read_text - web_read_html - web_seo_audit - web_exec_js - web_click - web_type_input - web_press_key - term_run_command --- # Content Quality & E-E-A-T Analysis ## E-E-A-T Framework (updated Sept 2025 QRG) Read `seo/references/eeat-framework.md` for full criteria. ### Experience (first-hand signals) - Original research, case studies, before/after results - Personal anecdotes, process documentation - Unique data, proprietary insights - Photos/videos from direct experience ### Expertise - Author credentials, certifications, bio - Professional background relevant to topic - Technical depth appropriate for audience - Accurate, well-sourced claims ### Authoritativeness - External citations, backlinks from authoritative sources - Brand mentions, industry recognition - Published in recognized outlets - Cited by other experts ### Trustworthiness - Contact information, physical address - Privacy policy, terms of service - Customer testimonials, reviews - Date stamps, transparent corrections - Secure site (HTTPS) ## Content Metrics ### Word Count Analysis Compare against page type minimums: | Page Type | Minimum | |-----------|---------| | Homepage | 500 | | Service page | 800 | | Blog post | 1,500 | | Product page | 300+ (400+ for complex products) | | Location page | 500-600 | > **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. ### Readability - Flesch Reading Ease: target 60-70 for general audience > **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. - Grade level: match target audience - Sentence length: average 15-20 words - Paragraph length: 2-4 sentences ### Keyword Optimization - Primary keyword in title, H1, first 100 words - Natural density (1-3%) - Semantic variations present - No keyword stuffing ### Content Structure - Logical heading hierarchy (H1 -> H2 -> H3) - Scannable sections with descriptive headings - Bullet/numbered lists where appropriate - Table of contents for long-form content ### Multimedia - Relevant images with proper alt text - Videos where appropriate - Infographics for complex data - Charts/graphs for statistics ### Internal Linking - 3-5 relevant internal links per 1000 words - Descriptive anchor text - Links to related content - No orphan pages ### External Linking - Cite authoritative sources - Open in new tab for user experience - Reasonable count (not excessive) ## AI Content Assessment (Sept 2025 QRG addition) Google's raters now formally assess whether content appears AI-generated. ### Acceptable AI Content - Demonstrates genuine E-E-A-T - Provides unique value - Has human oversight and editing - Contains original insights ### Low-Quality AI Content Markers - Generic phrasing, lack of specificity - No original insight - Repetitive structure across pages - No author attribution - Factual inaccuracies > **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 signals are now weighted within every core update. The same principles apply (people-first content, demonstrating E-E-A-T, satisfying user intent), but enforcement is continuous rather than through separate HCU updates. ## AI Citation Readiness (GEO signals) Optimize for AI search engines (ChatGPT, Perplexity, Google AI Overviews): - Clear, quotable statements with statistics/facts - Structured data (especially for data points) - Strong heading hierarchy (H1->H2->H3 flow) - Answer-first formatting for key questions - Tables and lists for comparative data - Clear attribution and source citations ### AI Search Visibility & GEO (2025-2026) **Google AI Mode** launched publicly in May 2025 as a separate tab in Google Search, available in 180+ countries. Unlike AI Overviews (which appear above organic results), AI Mode provides a fully conversational search experience with **zero organic blue links**, making AI citation the only visibility mechanism. **Key optimization strategies for AI citation:** - **Structured answers:** Clear question-answer formats, definition patterns, and step-by-step instructions that AI systems can extract and cite - **First-party data:** Original research, statistics, case studies, and unique datasets are highly cited by AI systems - **Schema markup:** Article, FAQ (for non-Google AI platforms), and structured content schemas help AI systems parse and attribute content - **Topical authority:** AI systems preferentially cite sources that demonstrate deep expertise. Build content clusters, not isolated pages - **Entity clarity:** Ensure brand, authors, and key concepts are clearly defined with structured data (Organization, Person schema) - **Multi-platform tracking:** Monitor visibility across Google AI Overviews, AI Mode, ChatGPT, Perplexity, and Bing Copilot, not just traditional rankings. Treat AI citation as a standalone KPI alongside organic rankings and traffic. **Generative Engine Optimization (GEO):** GEO is the emerging discipline of optimizing content specifically for AI-generated answers. Key GEO signals include: quotability (clear, concise extractable facts), attribution (source citations within your content), structure (well-organized heading hierarchy), and freshness (regularly updated data). Cross-reference the `seo-geo` skill for detailed GEO workflows. ## Content Freshness - Publication date visible - Last updated date if content has been revised - Flag content older than 12 months without update for fast-changing topics ## Output ### Content Quality Score: XX/100 ### E-E-A-T Breakdown | Factor | Score | Key Signals | |--------|-------|-------------| | Experience | XX/25 | ... | | Expertise | XX/25 | ... | | Authoritativeness | XX/25 | ... | | Trustworthiness | XX/25 | ... | ### AI Citation Readiness: XX/100 ### Issues Found ### Recommendations ## DataForSEO Integration (Optional) If DataForSEO MCP tools are available, use `kw_data_google_ads_search_volume` for real keyword volume data, `dataforseo_labs_bulk_keyword_difficulty` for difficulty scores, `dataforseo_labs_search_intent` for intent classification, and `content_analysis_summary` for content quality analysis. ## Error Handling | Scenario | Action | |----------|--------| | URL unreachable (DNS failure, connection refused) | Report the error clearly. Do not guess page content. Suggest the user verify the URL and try again. | | Content behind paywall (402/403, login wall) | Report that the content is not publicly accessible. Analyze only the visible portion (meta tags, headers) and note the limitation. | | Thin content (fewer than 100 words retrievable) | Report the findings as-is rather than guessing. Flag the page as potentially JavaScript-rendered or gated, and suggest the user provide the full text directly. | --- Source attribution: mits-pl Original project: https://github.com/mits-pl/wove/blob/8a3ba437a292b434ff64ec8b09ef876090385fc7/.claude/skills/seo-content/SKILL.md License: Apache-2.0 License information: https://www.apache.org/licenses/LICENSE-2.0 Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. 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Licensed under Apache License 2.0 https://github.com/wavetermdev/waveterm # Mega AI Hub resource metadata Creator / publisher: mits-pl Original project: https://github.com/mits-pl/wove/blob/8a3ba437a292b434ff64ec8b09ef876090385fc7/.claude/skills/seo-content/SKILL.md Attribution basis: Source repository record Fields of work: Marketing Roles: Content Marketer, Marketing Analyst, SEO Specialist Specialties: Specialty not specified Tools: Term_Run_Command, Web_Click, Web_Exec_Js, Web_Open, Web_Press_Key, Web_Read_Html, Web_Read_Text, Web_Seo_Audit, Web_Type_Input Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 4c16a524896232b7858c0d5e81bb3de7ba905a067212c3c46344628693374307