本文へ移動
cccskills
無料GitHub で公開

seo-content

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".

インストール方法を見る

含まれるファイル(2)

  • SKILL.md8.8 KB
  • LICENSE.txt142 B

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Content Quality & E-E-A-T Analysis

Shared Data Cache

Step 0 -- Check shared data cache:

Before gathering, check .seo-cache/ for reusable context from related SEO skills. Reference: ../seo/references/shared-data-cache.md for schemas and dependency map.

Check these cache files when present:

  • .seo-cache/site-meta.json for domain, business type, industry, and crawl context

  • .seo-cache/audit-scores.json for prior full-audit priorities

  • .seo-cache/pages/{url-slug}/page-analysis.json for page-level context when a URL is provided

  • If found: parse and use clearly valid fields (note "Using cached [X] from [date]")

  • If missing, corrupt, or irrelevant: continue with fresh evidence

  • If the user says "refresh" or "re-run": ignore cache reads and overwrite on write

E-E-A-T Framework (updated Sept 2025 QRG)

Read skills/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 TypeMinimum
Homepage500
Service page800
Blog post1,500
Product page300+ (400+ for complex products)
Location page500-600

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

FactorScoreKey Signals
ExperienceXX/25...
ExpertiseXX/25...
AuthoritativenessXX/25...
TrustworthinessXX/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

ScenarioAction
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.

FLOW Framework Integration

For prompt-guided content optimization, use /seo flow optimize <url> and /seo flow win <url> — FLOW's optimize and win prompts provide structured E-E-A-T improvement and BOFU conversion workflows.

Write to shared data cache

After completing all work, write a concise JSON summary to .seo-cache/ when the workflow produced durable findings. Use the schemas and naming rules in ../seo/references/shared-data-cache.md; include at least cache_type, analyzed_at, source URL/domain, key findings, issues, recommendations, and tool limitations. Add .seo-cache/ to .gitignore if it is missing.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

seo

無料

Comprehensive SEO analysis for any website, page, business, or topic. Full site audits, SEO checks, single-page analysis, technical SEO (crawlability, indexability, Core Web Vitals with INP), schema markup, content quality (E-E-A-T), image optimization, sitemap analysis, GEO for AI Overviews/ChatGPT/Perplexity, and SEO best-practice planning. Industry detection for SaaS, e-commerce, local, publishers, agencies. Triggers on: SEO, audit, full SEO check, SEO best practices, optimize my site, ranking, organic search, schema, Core Web Vitals, sitemap, E-E-A-T, AI Overviews, GEO, technical SEO, content quality, page speed, structured data.

日本語の概要は準備中です。原文の説明を表示しています。

AgriciDaniel/codex-seo8092026年9月12日 更新

seo-audit

無料

Full website SEO audit with parallel subagent delegation. Crawls up to 500 pages, detects business type, delegates to up to 15 specialists (8 always + 7 conditional), generates health score. Use when user says audit, full SEO check, SEO best-practice review, analyze my site, website health check, or find SEO issues.

日本語の概要は準備中です。原文の説明を表示しています。

AgriciDaniel/codex-seo8092026年9月12日 更新

Backlink profile analysis: referring domains, anchor text distribution, toxic link detection, competitor gap analysis. Works with free APIs (Moz, Bing Webmaster, Common Crawl) and DataForSEO extension. Use when user says backlinks, link profile, referring domains, anchor text, toxic links, link gap, link building, disavow, or backlink audit.

日本語の概要は準備中です。原文の説明を表示しています。

AgriciDaniel/codex-seo8092026年9月12日 更新

SERP-based semantic topic clustering for content architecture planning. Groups keywords by actual Google SERP overlap (not text similarity), designs hub-and-spoke content clusters with internal link matrices, and generates interactive visualizations. Optionally executes content creation if codex-blog is installed. Use when user says "topic cluster", "content cluster", "semantic clustering", "pillar page", "hub and spoke", "content architecture", "keyword grouping", or "cluster plan".

日本語の概要は準備中です。原文の説明を表示しています。

AgriciDaniel/codex-seo8092026年9月12日 更新

Generate SEO-optimized competitor comparison and alternatives pages. Covers "X vs Y" layouts, "alternatives to X" pages, feature matrices, schema markup, and conversion optimization. Use when user says "comparison page", "vs page", "alternatives page", "competitor comparison", "X vs Y", "versus", "compare competitors", or "alternative to".

日本語の概要は準備中です。原文の説明を表示しています。

AgriciDaniel/codex-seo8092026年9月12日 更新

Live SEO data via DataForSEO MCP server. SERP analysis (Google, Bing, Yahoo, YouTube, Google Images), keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis (Lighthouse, content parsing), competitor analysis, content analysis, business listings, AI visibility (ChatGPT scraper, LLM mention tracking), and domain analytics. Requires DataForSEO extension installed. Use when user says "dataforseo", "live SERP", "keyword volume", "backlink data", "competitor data", "AI visibility check", "LLM mentions", "image SERP", "google images", "image rankings", or "real search data".

日本語の概要は準備中です。原文の説明を表示しています。

AgriciDaniel/codex-seo8092026年9月12日 更新

AgriciDaniel のスキルをすべて見る

このスキルの問題を報告する