site-content-catalog

Generating a content inventory from a website sitemap involves crawling the sitemap and blog index to extract page URLs, titles, publish dates, and content types. This process groups pages by category and topic cluster to support SEO audits.

Topic clustering for site analysis categorizes crawled pages into thematic groups based on content type and subject. It automatically identifies topic clusters across blog posts and landing pages to reveal content gaps and structure.

Yes, you can use Python requests to crawl a website for a content audit. The process uses the requests library to discover pages via sitemaps and RSS feeds, enabling comprehensive site analysis and content cataloging.

The best way to automate content discovery for an SEO audit is to crawl sitemaps and RSS feeds to build a complete content inventory. This approach captures URLs, titles, and publish dates while grouping content by topic clusters.

Yes, deep analysis of top pages identifies funnel stages for content strategy. By performing quality assessment on top pages, the process tags content with funnel stages to support targeted SEO audits and gap analysis.

You need a full website crawl instead of a manual content inventory when managing large sites with diverse content types like blogs and case studies. Automated crawling discovers all pages via sitemaps to ensure complete gap analysis.