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seo-technical

Audit website technical SEO criteria using Python scripts.

Updated Jun 4, 2026
Search Tags:#SEO#audit#technical SEO#web optimization#SEO tools
One-click install
npx skills add https://github.com/REVREBEL/seo-api --skill seo-technical-revrebel
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: seo-technical
Source: https://github.com/REVREBEL/seo-api/tree/main/review/seo-technical
Command: npx skills add https://github.com/REVREBEL/seo-api --skill seo-technical-revrebel

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, lxml, BeautifulSoup, pandas, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a detailed technical SEO audit, identifying issues and opportunities for improvement across various critical SEO aspects.

Core Features & Use Cases

  • Technical SEO Audit: Evaluates crawlability, indexability, security, URL structure, mobile optimization, Core Web Vitals, structured data, JavaScript rendering, and IndexNow protocol.
  • User-Invokable: Can be activated with a specific command and an optional URL argument.
  • AI Crawler Management: Offers guidance on managing AI crawlers for technical SEO considerations.
  • Agent-Friendly Pages: Provides a checklist for optimizing sites for AI agents.
  • DataForSEO and Google API Integration: Optional integration for enhanced analysis.

Quick Start

Run the 'seo-technical' skill with the URL of the website you want to audit.

Frequently Asked Questions about seo-technical

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run a comprehensive technical SEO audit using Python?▼

Run a technical SEO audit by executing the provided Python scripts with a target URL. The tool analyzes crawlability, indexability, security, and Core Web Vitals to identify site optimization issues.

What categories are evaluated in a technical SEO audit?▼

A technical SEO audit evaluates nine categories: crawlability, indexability, security, URL structure, mobile optimization, Core Web Vitals, structured data, JavaScript rendering, and IndexNow protocol.

Do I need specific Python libraries to check website performance and SEO?▼

Yes, checking website SEO requires Python and specific libraries including requests, lxml, BeautifulSoup, and pandas to fetch, parse, and analyze web page data effectively.

Can I integrate DataForSEO and Google APIs for enhanced web optimization analysis?▼

Yes, you can optionally integrate DataForSEO and Google APIs into the web optimization analysis to gather more comprehensive data and enhance the depth of the SEO audit results.

How do I optimize pages for AI crawlers and agents in technical SEO?▼

Optimize pages for AI crawlers by following the provided agent-friendly checklist and AI crawler management guidance, ensuring your site structure supports technical SEO requirements for AI agents.

What is the best way to automate crawlability and indexability checks for a website?▼

Automate crawlability and indexability checks by running the Python-based SEO scripts with a specific URL argument, which systematically evaluates site structure and generates an audit report.

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