seo

Run a full technical SEO audit by executing the /seo audit command with your target URL to evaluate site structure, crawlability, indexability, and Core Web Vitals. This orchestrates sub-skills to analyze technical SEO, content quality, schema markup, and backlinks comprehensively.

Yes, you can perform a single page analysis to evaluate Core Web Vitals, content readability, uniqueness, and E-E-A-T signals. The tool uses Python libraries like beautifulsoup4 and trafilatura to extract and assess page content quality metrics in depth.

The SEO analysis tool supports multiple website types including SaaS, e-commerce, and local business sites. It adapts its audit parameters to evaluate specific SEO elements relevant to different site architectures and business models.

Validate and generate Schema.org markup by running the schema markup sub-skill, which detects existing markup on your pages and suggests improvements. This helps search engines better understand your content and enhances search visibility.

Yes, backlink analysis requires Python dependencies like requests, lxml, and validators to parse web pages and interact with external APIs. You also need google-analytics-data and google-api-python-client for deeper integration with Google's reporting tools.

Export SEO audit reports using built-in libraries like weasyprint, openpyxl, and matplotlib to generate formatted PDF, Excel, and visual chart outputs. This allows you to share comprehensive analysis results covering technical SEO and content quality directly with clients.