Similo uses AI embeddings to find and display semantically related posts — articles that are actually about the same topic, even if they don’t share tags or categories.
Built for professional blogs with hundreds of posts: law firms, consultancies, academic publishers, and anyone whose readers deserve better content discovery.
How it works
- When a post is published, Similo generates an AI embedding of its content
- When a reader views a post, Similo compares embeddings to find the most similar articles
- The most relevant posts are displayed as “Further Reading” at the bottom of each article
Why it’s different
Most related post plugins match by tags or categories. Similo understands meaning — so a post about GDPR enforcement and a post about data privacy fines will be connected, even if they were never tagged the same way.
Requirements
- No API key needed — embeddings are handled via Similo’s external service.
External Services
This plugin sends post content to an external server to generate AI embeddings for related post detection.
What data is sent: Post title and content (text only)
When: When a post is published or updated
Service: lecto-server.fly.dev