Multi-Channel Content Distribution Optimizer

Problem

Multi-channel distribution often gets stuck on the same chores: retitling, resizing, adding tags. The core idea may be consistent, but WeChat needs structured long-form logic, Xiaohongshu needs visual hooks, Douyin needs a strong first-3-seconds hook, and Zhihu needs evidence. Copying the same draft across platforms can violate norms or dilute information density.

How It Works

multi-channel-content-distribution turns one core piece of content into an execution workflow:
- Content analysis: identify topic, audience, and format; extract 3-7 key information points; produce an adaptation score.
- Platform adaptation: rewrite for WeChat, Xiaohongshu, Douyin, Bilibili, Zhihu, and Weibo. For example, Douyin uses hook-development-turn-lift structure, while Zhihu strengthens data and citations.
- Format conversion: enforce word limits, generate 2-3 title options, image briefs, and platform-specific tag strategies.
- Optimization and delivery: check opening hooks, CTAs, sensitive terms, and readability; output a structured report with posting time and interaction suggestions.

Boundaries

Best for text-based one-pass multi-platform adaptation from pasted text, file paths, URLs, or content points. Not suitable for account operations, fan management, analytics, or ad campaigns. Inputs under 50 characters stop the process; scores below 40 fall back to the two best-fitting platforms; current version focuses on text material, so images or video need titles and descriptions.