Context-aware recommendations
Prioritize related posts using content context and topical proximity instead of static tag overlap alone.
Plugin
Show relevant related content based on context to increase discovery and engagement.
Prioritize related posts using content context and topical proximity instead of static tag overlap alone.
Configure placement, limit, and presentation style to match different themes and content layouts.
Designed to support longer sessions and stronger internal discovery without manual curation overhead.
This plugin is aimed at blogs, magazines, and documentation-style sites that want readers to discover more relevant content without hand-curating every related-post block.
It is being designed for site owners who want stronger internal recommendations without building a custom recommendation system.
Simple tag overlap or date-based widgets often produce low-value recommendations that do not improve session depth or content discovery.
The goal is to make related-post output feel relevant enough to support navigation and engagement without creating another maintenance burden.
The first version is expected to focus on context-aware matching, basic display controls, and sensible defaults that work on typical content sites.
The initial release is not being positioned as a machine-learning recommendation engine or a full personalization platform. The scope stays intentionally practical.
Last updated: May 10, 2026
Current status: Prototype direction is still under review. Planned after Internal Links Audit.
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