Semantic Site Map

How to use it

1. Start with the distribution to see the site's overall semantic spread.
2. Compare topic mean and maximum radii to find tight and broad editorial neighborhoods.
3. Filter the evidence table by topic, then inspect the most central and furthest pages.
4. Open an article to see its nearest semantic neighbors and article-level context.
5. Compare semantic structure with the Internal Link Cluster Visualizer; semantic similarity and actual internal links answer different questions.

What the results mean

• Site radius is cosine distance from the centroid of every included article embedding, scaled for readability.
• Centrality rank orders the included articles from the smallest site radius to the largest.
• Topic radius is an article's distance from its assigned topic centroid.
• Topic mean/max summarizes how tightly the topic's member embeddings group together.
• Closest articles are the three highest cosine-similarity neighbors in the included corpus.

Features

• Build-time analysis of every eligible published article.
• Site-wide distribution, topic coherence cards, and complete evidence table.
• Search, topic filtering, sorting, and CSV export.
• Direct handoff to article evidence and the link-graph visualizer.

Limitations

This release analyzes PatrickStox.com only; it does not crawl or accept uploads. Results depend on the model, corpus, text cleanup, tags, and cluster count. Embedding similarity can miss factual, navigational, commercial, and business distinctions, and it cannot tell whether two pages should link.

Frequently asked questions