AI Internal Linking: Managing WordPress SEO at Scale

I built this plugin to solve a boring but important SEO problem in WordPress: internal linking stops scaling long before content does. Once a site has dozens or hundreds of posts, manual linking breaks down. Pages get orphaned, older content never points to newer content, and link equity ends up distributed by accident. Most tools I found were just keyword matchers, which means they miss semantically related pages and often suggest awkward links. My approach was to treat a WordPress site like a content graph. The plugin indexes posts, pages, products, and custom post types, scans existing internal links, then uses AI embeddings plus keyword signals to score possible source to target relationships. Instead of asking only whether two pages share words, it asks whether they are actually about the same topic. That semantic layer is what powers the suggestions. For each candidate link, the plugin ranks relevance, checks existing link density, avoids duplicates, respects language boundaries,