---
name: seo-content
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]"
license: MIT
metadata:
author: AgriciDaniel
version: "1.9.6"
category: seo
---
Content Quality & E-E-A-T Analysis
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 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. |
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.
Release evidence
Reviewed in the 2026-06-15 GetAgentIQ warehouse propagation cycle.