skills/norahe0304-art/30x-seo/30x-seo-content-audit

30x-seo-content-audit

SKILL.md

Content Quality Audit

Check both traditional SEO (E-E-A-T) and AI search (citability)

Two Dimensions

Dimension Goal Key Metrics
Traditional SEO Google rankings E-E-A-T score, keywords, structure
AI Citability ChatGPT/Perplexity citations Extractability, authority signals, third-party presence

Part 1: Traditional SEO - 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


Part 2: AI Citability - Three Pillars

Source: Princeton GEO Research + Industry Best Practices

Pillar 1: Structure (Extractability)

AI systems extract paragraphs, not entire pages. Each key claim should stand alone.

Content Block Type Use Case Example
Definition block "What is X?" "CRM is software that manages customer relationships..."
Steps block "How to do X?" "Step 1... Step 2... Step 3..."
Comparison table "X vs Y" Feature comparison table
Pros/cons block Evaluation queries "Pros:... Cons:..."
FAQ block Common questions Q:... A:...
Statistics block Data support "According to 2025 survey, 73% of users..."

Structure Rules:

  • Lead each paragraph with the answer (don't bury it)
  • Key paragraphs 40-60 words (optimal AI extraction length)
  • Use question format for H2/H3 headings (match user search)
  • Use tables for comparisons, lists for steps

Pillar 2: Authority (Citability)

Optimization Method Visibility Boost How to Do
Cite sources +40% Add authoritative citations and links
Add statistics +37% Specific numbers + source
Expert quotes +30% "According to [expert]..."
Authoritative tone +25% Demonstrate expertise
Keyword stuffing -10% Reduces AI visibility

Best combination: Fluency + Statistics = Maximum boost

Pillar 3: Presence (Third-Party Exposure)

AI doesn't just cite your website, it cites where you appear.

Platform AI Citation Share Action
Wikipedia 7.8% Ensure brand page is accurate
Reddit 1.8% Participate in relevant communities
YouTube High Create video content
Review sites Medium Keep G2, Capterra updated
Quora Medium Give in-depth answers to related questions

Combined Score Output

Content Quality Audit Report

1. Traditional SEO Score: XX/100
   - Experience: XX/25
   - Expertise: XX/25
   - Authoritativeness: XX/25
   - Trustworthiness: XX/25

2. AI Citability Score: XX/100
   - Structure Extractability: XX/33
   - Authority Signals: XX/33
   - Third-Party Presence: XX/33

3. Combined Score: XX/100

4. Priority Fixes
   - [Specific recommendations]

[PROTOCOL]: Update this header on changes, then check CLAUDE.md

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