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seo-content

seo-content analyzes web pages for search engine optimization quality using Google's E-E-A-T framework (Experience, Expertise, Authoritativeness, Trustworthiness) and content metrics including word count adequacy, readability scores, and topical coverage depth. Use this skill when evaluating whether existing or planned content meets modern SEO standards, assessing content against industry benchmarks, or improving pages for better search visibility and user trust signals.

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git clone --depth 1 https://github.com/AgriciDaniel/codex-seo /tmp/seo-content && cp -r /tmp/seo-content/skills/seo-content ~/.claude/skills/seo-content
Después abre una sesión nueva de Claude Code; el skill carga automáticamente.

SKILL.md

# 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 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 A