外掛標籤
開發者團隊
原文外掛簡介
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
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