seo-auditor

Perform a technical SEO audit with Python by using libraries like beautifulsoup4 and lxml to parse website content, identifying crawlability, indexation, site speed, and structured data problems to improve search engine visibility.

On-page SEO optimization includes reviewing title tags, meta descriptions, heading structure, content quality, and keyword targeting to identify gaps and enhance your website's search engine visibility.

Yes, you can use Python requests and beautifulsoup4 for competitor SEO analysis to fetch and parse meta information, identifying content gaps and opportunities by comparing against top-ranking competitors.

Content quality is assessed during a website SEO audit by evaluating the experience, expertise, authoritativeness, and trustworthiness of your content to identify areas needing improvement for better search engine rankings.

Yes, the SEO audit checks structured data and social signals by ensuring the presence of necessary schema markup and meta tags required for social sharing to optimize your website's search engine visibility.

A limitation of using Python lxml for SEO auditing is that it parses static HTML content, meaning it may not execute JavaScript to render dynamic page elements, potentially missing on-page optimization gaps on heavily interactive sites.