seo-content
分析和优化内容质量与E-E-A-T(经验、专业、权威、信任)框架,提升SEO排名和用户信任度。
npx skills add agricidaniel/claude-seo --skill seo-contentBefore / After 效果对比
1 组内容质量不佳,E-E-A-T评分低,影响搜索引擎排名。
分析并优化内容质量,提升E-E-A-T,改善SEO表现。
description SKILL.md
seo-content
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.Weekly Installs197Repositoryagricidaniel/claude-seoGitHub Stars2.4KFirst SeenFeb 19, 2026Security AuditsGen Agent Trust HubPassSocketPassSnykPassInstalled oncodex185github-copilot184opencode184gemini-cli183cursor183kimi-cli182
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