Web Graph Tool

This tool constructs a directed graph from crawl data, representing pages as nodes and links as edges. It computes centrality, reachability, and clustering metrics to reveal structural strengths and gaps. Conceptually, crawl data is transformed into a graph where edge weights reflect link importance and relevance. The platform then calculates authority-like scores, identifies hubs and bottlenecks, and highlights content silos. Outputs include a graph data model, centrality scores, and a summary report for SEO decision-making. Use cases include discovering orphaned pages, optimizing internal linking, and prioritizing crawl budgets. The tool provides export options for JSON, CSV, and DOT formats to integrate with visualization or BI pipelines. Unique value lies in combining graph theory with SEO-focused metrics to produce actionable insights rather than purely structural visuals. Typical workflows target site architecture optimization, content strategy alignment, and technical SEO audits. The tool supports historical comparisons to track topology changes after content updates or migrations, enabling trend analysis and impact assessment. It is suitable for enterprise sites with complex link structures and agencies performing site audits on behalf of clients.