AI Blog Analyzer: Optimize SEO & Quality with Ease

AI Blog Analyzer: Optimize SEO & Quality with Ease

The AI Blog Analyzer is designed to audit and score blog posts using a detailed 100-point system. It evaluates content across five key categories, including content quality, SEO optimization, E-E-A-T signals, technical elements, and AI citation readiness. The skill provides prioritized recommendations for improvement and supports multiple formats including markdown, JSON, and tables.

What this skill does

• Scores blog posts on a 0-100 scale in five categories: content quality, SEO optimization, E-E-A-T signals, technical elements, and AI citation readiness.
• Detects AI-generated content by analyzing burstiness, flagging phrases, and assessing vocabulary diversity.
• Generates and categorizes improvement recommendations based on priority levels: Critical, High, Medium, Low.
• Handles various input formats such as MDX, markdown, HTML, and URLs, ensuring wide compatibility.
• Exports analysis results in multiple formats including markdown, JSON, and tables for convenient record-keeping.

Who it is for

This skill is primarily designed for developers and teams using AI coding agents such as Claude Code, Cursor, and Codex. It is particularly beneficial for those involved in content development and digital marketing, including SEO specialists and content auditors.

Use cases

• Evaluating the quality and optimization of blog content before publication.
• Aiding SEO specialists in identifying and rectifying content weaknesses.
• Supporting content teams in maintaining a consistent quality standard across platforms.
• Assisting developers in integrating automated blog post evaluations into content management workflows.

Technical details

• Utilizes tools like agent-skills and aiapplication for robust functionality.
• Incorporates AI content detection through a two-tier reflex methodology (version 1.8.0).
• Includes a scoring checklist and evaluation criteria based on reference documents such as quality-scoring.md and eeat-signals.md.
• Handles both local files and published URLs, ensuring data safety by performing URL safety checks for http and https protocols.

Users are reminded that all referenced documents can be found within the designated paths in the repository root.

Source & Licence

This package is built on open-source work published by AgriciDaniel (AgriciDaniel/claude-blog) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.