SEO Optimizer Pro

SEO Optimizer Pro

AI-powered SEO content optimization for both Google ranking and AI search (AEO).

Analyze and optimize content with AI for search visibility across traditional Google results and emerging AI search platforms (ChatGPT, Google AI Overviews, Claude, etc).

🚀 Why This Skill?

Problem Statement

SEO optimization requires balancing multiple objectives:

• Content must rank on Google with proper technical SEO
• AI search optimization (AEO) is a new frontier—getting cited in ChatGPT, Google AI Overviews, Claude responses
• Manual analysis of readability, keyword density, heading structure is time-consuming
• Unclear what will actually impact rankings vs. what's just best practice
• Need both technical optimization AND compelling AI-optimized content

The Solution

Analyze and optimize content using AI combined with technical SEO audits. Get specific recommendations for both traditional Google ranking AND emerging AI search visibility.

Why This Matters

• AI Search is Growing: ChatGPT, Google AI Overviews, Claude are becoming major discovery channels
• 2026 Trend: Quality content with proper structure ranks better in both systems
• Data-Driven: Real recommendations based on actual SEO metrics, not just generic advice
• Dual Optimization: One analysis optimizes for both Google AND AI search platforms

✨ What You Get

Comprehensive SEO Analysis

Every analysis includes:

• 📊 Readability Score - Flesch-Kincaid grade level and readability metrics
• 🔑 Keyword Analysis - Density tracking and natural integration suggestions
• 📐 Content Structure - Heading hierarchy, paragraph length, word count
• 🎯 Technical SEO - Meta tags, link analysis, structured data
• 🤖 AI Search Optimization - Recommendations for ChatGPT citations, AI Overviews

Model-Agnostic AI Integration

Pass any model ID — provider is auto-detected from the model name prefix. No hardcoded list; new models work without updates.

Features:

• Title Optimization - SEO-friendly titles (40-60 chars)
• Meta Descriptions - Auto-generated descriptions (150-160 chars)
• H1 Suggestions - Optimized heading tags
• Key Points Expansion - What topics to expand for better coverage
• Keyword Integration - Natural ways to incorporate target keywords
• Internal Linking Ideas - Strategic internal linking opportunities

Answer Engine Optimization (AEO)

Five specific recommendations to:

• Get your content featured in AI search results
• Appear as cited sources in ChatGPT, Google AI Overviews, Claude
• Optimize for question-answer format (how AI searches work)
• Build authority signals that AI systems recognize
• Structure content for AI comprehension and citation

Technical Metrics

Analyze:

• Word count and content length
• Sentence and paragraph structure
• Keyword density by target keyword
• Heading structure (H1, H2, H3...)
• Readability (Flesch-Kincaid grade)
• Link analysis (internal/external)
• Content organization

📊 Real-World Example

ANALYZING: Blog post about "Cloud Storage Solutions"

═══════════════════════════════════════════════════════════════

📊 METRICS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
• Word Count: 847 words
• Readability Score: 68/100 (Good)
• Flesch-Kincaid Grade: 8.2 (High school level - good)
• Avg Paragraph: 32 words (Optimal range)

🔑 KEYWORD DENSITY
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
• cloud storage: 1.8% ✅ (Optimal)
• data security: 0.8% (Increase to 1-2%)
• backup solutions: 0.4% (Too low)

💡 TOP SUGGESTIONS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

🟡 [KEYWORDS] "backup solutions" appears only 0.4% of the time
   Current: 0.4% → Recommended: 1-2%
   Impact: Better keyword relevance signal

🟢 [TECHNICAL] Heading structure is well organized
   Current: H1 (1), H2 (4), H3 (2) ✅
   Impact: Excellent for SEO and accessibility

🟡 [CONTENT] Consider expanding "data encryption" section
   Current: 1 paragraph → Recommended: 2-3 paragraphs
   Impact: More thorough topic coverage, higher authority

🤖 AI SEARCH OPTIMIZATION (AEO)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

1. Add a FAQ section with common questions about cloud storage
   → This format gets cited in ChatGPT and Google AI Overviews

2. Include specific comparison tables (Google vs AWS vs Azure)
   → Structured data that AI systems cite as authoritative

3. Add a "Quick Summary" box with key takeaways
   → AI search pulls these summaries for AI-generated responses

4. Link to authoritative sources in your references
   → Shows expertise, increases citation likelihood

5. Structure content as problem → solution → benefits
   → Matches how AI systems generate responses

🎯 ESTIMATED IMPACT
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Medium Impact - Implementing 3-5 suggestions could improve ranking
potential by 10-20%. Key factors: Expanding keyword coverage,
enhancing structure for AI readability, adding comparison tables.

Use Cases

Content Marketing

• Optimize blog posts for both Google and AI search
• Ensure content gets cited in ChatGPT, Google AI Overviews
• A/B test content structure recommendations
• Scale content optimization across multiple writers

SEO Professionals

• Audit client websites for optimization opportunities
• Provide data-driven recommendations with impact estimates
• Build optimization reports with specific, actionable steps
• Track progress across multiple keyword targets

Product Documentation

• Optimize docs for both search and AI assistant discovery
• Ensure technical content appears in AI search results
• Improve readability scores for accessibility
• Structure docs for AI system comprehension

E-Commerce

• Optimize product descriptions for Google Shopping and AI search
• Improve category page rankings with strategic content
• Enhance FAQ sections for AEO visibility
• Increase organic traffic from emerging AI search channels

News & Publishing

• Optimize articles for news search and AI citations
• Improve readability for different audience levels
• Structure content for AI system extraction and citation
• Track SEO performance metrics over time

🔐 Credentials Required

You need one API key — for whichever provider/model you want to use:

Only set the key for the provider you're using. For example, to use Claude:

export ANTHROPIC_API_KEY=sk-ant-...

Or to use GPT:

export OPENAI_API_KEY=sk-...

The skill itself is free. You pay the provider directly for API usage at their standard rates.

⚠️ Important Privacy Notice

Your content IS sent to third-party AI providers. Before using this skill with sensitive content, review the privacy policy of your chosen provider:

• Anthropic Privacy: https://www.anthropic.com/legal/privacy
• OpenAI Privacy: https://openai.com/policies/privacy-policy
• Google Gemini Terms: https://ai.google.dev/gemini-api/terms
• OpenRouter Privacy: https://openrouter.ai/privacy
• Mistral Terms: https://mistral.ai/terms/

Recommendation: Test with non-sensitive sample content first. Each provider has different data retention policies.

🚀 Quick Start

1. Access the Skill

Available for free on ClawhHub - no subscription required

2. Set Up

Required:

• API key for your chosen provider (see Credentials table above)

Optional:

• Content to analyze (HTML or plain text)
• Target keywords (recommended for better analysis)

3. Python Usage

from skills.seo_optimizer import SEOOptimizer

# Initialize with default Claude model
optimizer = SEOOptimizer()

# Or use a different model
optimizer = SEOOptimizer(model="gpt-5.2-pro")  # Use GPT-5.2
# optimizer = SEOOptimizer(model="gemini-3-pro")  # Use Gemini 3
# optimizer = SEOOptimizer(model="mistral-large-2501")  # Use Mistral

# Analyze content
results = optimizer.analyze_content(
    content="""
    <h1>Cloud Storage Solutions</h1>
    <p>Cloud storage has revolutionized how we store and access data...</p>
    ...(your content)...
    """,
    url="https://example.com/cloud-storage",
    target_keywords=["cloud storage", "data security", "backup solutions"]
)

# Get formatted results
print(optimizer.format_results(results))

# Access detailed metrics
print(f"Readability: {results.metrics.readability_score}/100")
print(f"Word Count: {results.metrics.word_count}")

# Get AI suggestions
print(results.content_optimization)

# Get AEO recommendations
for i, rec in enumerate(results.aeo_recommendations, 1):
    print(f"{i}. {rec}")

Tested Models (any model matching a provider prefix also works):

• claude-opus-4-6 (Recommended — best quality)
• claude-sonnet-4-6
• claude-haiku-4-5-20251001 (Default — fastest/cheapest)
• gpt-5.2-pro, gpt-5.2, gpt-5.1
• gemini-2.5-pro, gemini-2.5-flash
• mistral-large-latest, mistral-small-latest
• deepseek-chat, deepseek-reasoner
• grok-4-1-fast, grok-3-beta
• MiniMax-M2.1
• qwen3.5-plus, qwen3-max-instruct
• meta-llama/llama-4-maverick, meta-llama/llama-3.3-70b-instruct

4. CLI Usage

# Analyze a file
seo-optimizer analyze "blog-post.html" --keywords "cloud storage" "data security"

# Generate optimization report
seo-optimizer analyze "article.txt" --report --output report.json

# Quick AEO analysis
seo-optimizer aeo "content.html" --keywords "topic-1" "topic-2"

🤖 AI Search Optimization (AEO) Deep Dive

What is AEO?

Answer Engine Optimization is the practice of optimizing content to appear in AI-generated search results and as cited sources in AI chatbots (ChatGPT, Google AI Overviews, Claude, Perplexity, etc).

Why AEO Matters

• ChatGPT can cite your content in responses (if properly formatted)
• Google AI Overviews pull information from highly-relevant, authoritative sources
• Claude and other AI systems prioritize structured, clear information
• 2026 Reality: AI search is becoming a primary discovery channel alongside Google

AEO Best Practices (From Analysis)

1. Structure for AI Comprehension

• Use clear heading hierarchy (H1 → H2 → H3)
• Break content into logical sections
• Use lists and bullet points liberally
• AI systems parse structured content better

2. Direct Answers Format

• Start with direct answer to the main question
• Support with detailed explanation
• Include supporting evidence/sources
• Match how humans ask questions

3. Structured Data

• FAQ schema for Q&A format
• Product schema for product pages
• Organization schema for company info
• Schema.org markup helps AI systems understand context

4. Authority Signals

• Link to authoritative sources
• Cite peer-reviewed research
• Include author credentials
• AI systems recognize and cite authoritative sources

5. Comparison Tables

• Structured comparisons get cited in AI responses
• Use tables for side-by-side information
• Include pros/cons lists
• AI systems extract and cite these directly

🔒 Security & Privacy

Data Handling

• ✅ Content analyzed in-memory only
• ✅ Not stored or transmitted to external servers
• ✅ Claude API processes via encrypted HTTPS
• ✅ Analysis results stored locally only

API Keys

• ✅ API keys stored in environment variables
• ✅ Never logged or exposed
• ✅ Each provider uses their official API
• ✅ Zero-knowledge architecture

Compliance

• ✅ GDPR compliant (no data storage)
• ✅ CCPA compliant (no data collection)
• ✅ Works with proprietary content
• ✅ No third-party data sharing

❓ FAQ

Q: How do you calculate readability score? A: We use the Flesch-Kincaid grade level formula and convert it to a 0-100 scale. Higher scores = easier to read.

Q: Are these recommendations guaranteed to improve rankings? A: No ranking is guaranteed, but these suggestions are based on proven SEO factors. Impact varies by industry, competition, and current content quality.

Q: What's the difference between SEO and AEO? A: SEO optimizes for Google's algorithm. AEO optimizes for AI chatbots that generate responses. They overlap significantly—good content for humans is usually good for both.

Q: Can I use this for languages other than English? A: The readability analysis is English-optimized, but keyword analysis and AI suggestions work for any language.

Q: How long should content be? A: It depends on topic complexity. Generally: 300+ words minimum, 1000+ for comprehensive coverage, 2000+ for pillar/authority pages.

Q: What if I have a very long document? A: The skill analyzes the first 2000 characters by default. For longer documents, split into sections and analyze each separately.

Q: Does this check technical SEO like page speed? A: This skill focuses on content optimization. For technical SEO (speed, mobile, crawlability), use tools like Google PageSpeed Insights.

Q: Can I optimize for multiple keywords at once? A: Yes! Pass a list of target keywords. We'll analyze density for each and provide keyword-specific recommendations.

Q: How accurate is the AEO scoring? A: AEO is still evolving. Our recommendations are based on 2026 best practices from AI search optimization research.

Q: Does this skill generate SEO content from scratch? A: No, this skill analyzes and optimizes existing content. To generate new content, use other AI writing tools first.

🗺️ Roadmap

✅ Current Release (v1.0.2)

• Content readability analysis (Flesch-Kincaid)
• Keyword density tracking
• Technical SEO audit
• Multi-provider AI optimization (Claude, GPT, Gemini, Llama, Mistral)
• AEO-specific recommendations
• Impact estimation

🚧 Coming Soon

• Competitor analysis - Compare your content to top Google results
• Bulk analysis - Analyze multiple pages in one run
• Export formats - PDF reports, JSON data, CSV analysis
• Multi-language readability - Support beyond English

🔮 Future

• Schema generation - Auto-generate JSON-LD schema
• Link analysis - Deep internal/external link auditing
• Content gap analysis - Identify missing topics in your content

📚 Resources

Support

• Email: support@unisai.vercel.app
• Website: https://unisai.vercel.app

📄 License & Terms

This skill is free and open to all users on ClawhHub.

✅ You CAN:

• Use the skill for free, unlimited times
• Analyze unlimited content
• Export optimization reports
• Use for commercial purposes
• Use for personal and business projects

❌ You CANNOT:

• Redistribute or resell the skill
• Modify the source code without permission
• Reverse engineer the skill

Full Terms: See LICENSE.md

🚀 Get Started

1. Access this free skill on ClawhHub (no subscription needed)
2. Install the SDK for your provider: pip install anthropic (or openai, google-generativeai, mistralai)
3. Set the API key for your chosen provider (see Credentials table above)
4. Analyze your first piece of content

🏷️ Tags

Primary: seo, content-optimization, aeo, ai-search, copywriting

Categories: seo-tools, content-analysis, marketing-tech, ai-optimization

Features: keyword-analysis, readability-scoring, meta-tag-generation, technical-seo, ai-search-optimization

📝 Changelog

[1.0.7] - 2026-02-27

🏗️ Model-Agnostic Architecture

• Provider auto-detected from model name prefix — no hardcoded whitelist
• Any new model works automatically without code changes
• Added DeepSeek, xAI Grok, MiniMax, Qwen as first-class providers
• Updated Claude to 4.6 series (claude-opus-4-6, claude-sonnet-4-6)
• Simplified internals — all OpenAI-compat providers share one code path

[1.0.6] - 2026-02-14

🔒 Security & Transparency Improvements

• Source Code Included - Fixed license contradiction; source code IS included for transparency and security audits
• License Clarification - Changed from "proprietary" to "free-to-use" with clear modification rights for personal use
• Data Sharing Warnings - Added explicit warnings about third-party AI provider data sharing with links to privacy policies
• Metadata Consistency - Fixed registry metadata to accurately reflect required environment variables
• Install Recommendations - Updated requirements.txt and docs to recommend selective SDK installation (not all packages)

📝 Documentation Updates

• Added GitHub repository and verifiable support contacts
• Clarified which API key is required for which model
• Added provider privacy policy links for informed consent
• Updated all version references to 1.0.6

[1.0.2] - 2026-02-14

✨ Multi-Model Support

• Claude 4.5 Series - Opus, Sonnet, Haiku models
• GPT-5.2 Series - Pro, Thinking, Instant variants
• Gemini 2.5/3.0 - Google's latest models
• Llama 3.2/3.3 - Meta's open-source models
• Mistral Large - Mistral AI's flagship model
• Model Selection - Choose your preferred AI model for analysis

🔧 Technical Improvements

• Model-agnostic architecture for flexibility
• Support for 12+ leading AI models
• Dynamic model validation
• Improved API compatibility

[1.0.0] - 2026-02-02

✨ Initial Release

• Content Analysis - Readability, word count, paragraph structure
• Keyword Tracking - Density analysis for target keywords
• Technical SEO - Heading structure, link analysis, meta tags
• AI Integration - AI-powered title, description, H1 suggestions
• AEO Optimization - 5 specific recommendations for AI search visibility
• Impact Estimation - Predicted ranking improvement from optimizations
• Beautiful Reports - Formatted analysis with clear recommendations

🎨 2026 Update

• Current 2026 models and pricing
• Professional, technical tone
• Focus on AEO (Answer Engine Optimization)

🔒 Security & IP Protection

• IP watermark: PROPRIETARY_SKILL_SEO_OPTIMIZER_2026
• Zero data storage
• HTTPS-only API communication
• Environment variable security

Last Updated: February 27, 2026 Current Version: 1.0.7 Status: Active & Maintained

© 2026 UnisAI. All rights reserved.