Similo: AI Related Posts

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, Lecto generates an AI embedding of its content
• When a reader views a post, Lecto 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. Lecto 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

• OpenAI API key (for embeddings)

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

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