Anyone who has been in the self-media industry for long will realize a harsh truth: 70% of a piece’s fate is decided before you even start writing. If the topic is right, mediocre prose can still achieve strong metrics; if the topic is wrong, even brilliant writing is just self-indulgence. Yet “topic selection” is precisely the most esoteric part of the process. Which topics are heating up? Which headline structures are performing well on current platforms? This information is scattered across massive amounts of data. Relying on personal intuition while scrolling through your phone to capture these insights yields efficiency and hit rates that are, frankly, pitiful.
Yi Zhuan’s product logic is to turn this esoteric process into data: before it helps you write with AI, it does something even earlier—it uses data to help you decide what to write. The combination of viral content analysis, trending topic tracking, and AI writing covers the complete link of the self-media production pipeline. This is exactly how Yi Zhuan distinguishes itself from all pure writing tools.
What Is Yi Zhuan?
Yi Zhuan (yizhuan5.com) is a content production and data analytics platform for self-media creators. Havingdeep cultivation (deeply cultivated) this vertical market for years, its feature matrix is built around the real workflows of domestic self-media: Viral Content Library & Data Analytics (see what’s driving volume), Trending Topic Tracking & Topic Selection Library (find what’s worth writing about), AI Writing & Headline Generation (write it out), and Multi-Platform Operation Support (publish it). It covers the content ecosystems of mainstream text-and-image platforms such as WeChat Official Accounts, Toutiao, and Baijiahao.
In one sentence: it is not a writing tool with added data, but rather a self-media operations dashboard with AI integrated—the difference in focus determines its user profile.
Core Features
Viral Article Analysis: Its Signature Skill
It scrapes and analyzes high-traffic content across platforms, breaking down the patterns within: which headline structures have high click-through rates, which topics are gaining traction, and which article formats drive good engagement. Creators use it for two main things:
Topic Decision-Making: Browse the current viral library, combine it with your account’s positioning to choose a direction, and turn “what should I write today?” from a hair-pulling exercise into a data-driven query.
Reverse-Engineering Viral Hits: Study what content in your niche is performing well; you’ll get a clear view of the tricks behind their headlines, openings, and structures. “Imitation is the fastest way to learn,” but only if there’s material to deconstruct. Yi Zhuan provides that library.
Trending Topic Tracking & Topic Selection Library
Real-time aggregation of global trends plus topic references categorized by niche—the ammunition depot for accounts that chase trends. Trending content relies on timeliness; the speed from “discovering a trend” to “publishing a draft” is what drives traffic. This tracking system compresses exactly that first step.
AI Writing
Standard capabilities include topic generation, outline expansion, rewriting, and continuation. The tuning direction is self-media tone—the linguistic habits of WeChat Official Accounts and Toutiao, rather than academic or business styles. Paired with the preceding topic data, it forms a production line: “data-driven topic selection → AI draft generation → human injection of perspective.”
Headline Generation: Small Feature, Big Leverage
Batch-generates candidate headlines based on viral headline patterns (suspense, benefits, emotional resonance). Self-media practitioners know well: the headline determines the open rate, and the open rate determines everything. It’s common for the same article to see a threefold difference in metrics just by changing the headline. Getting ten candidates at once to pick from makes this feature’s return on investment potentially the highest in the entire toolkit.
Quality Assurance & Layout Assistance
Originality detection, sensitive word screening (a lightning rod for platform-prohibited terms; those who’ve been shadowbanned know how crucial this is), and WeChat Official Account layout assistance—all the pre-publishing quality checks and packaging steps are conveniently bundled together.
Comparison with Similar Tools
vs. Xinbang/Xigua Data: Professional data platforms offer deeper rankings and account analysis, targeting institutions and commercial scenarios, with higher price points. Yi Zhuan bundles “sufficient data” and “convenient writing” for individual creators, positioning itself one tier lighter.
vs. General AI (Kimi/Wenxin Yiyan): Large models have stronger article-writing capabilities, but they don’t know “what’s trending on Toutiao today.” The data layer is Yi Zhuan’s moat against all general AIs; the writing capability is actually the part that can be easily substituted. The smart approach is to combine them: use Yi Zhuan for topic selection and viral deconstruction, and large models for drafting first passes, leveraging each tool’s strengths.
vs. Mitas Writing Cat/Biling: Pure writing tools offer more precise error correction and polishing. Yi Zhuan’s differentiation has never been “writing well,” but rather “selecting accurately.”
vs. 135 Editor: 135 is a veteran in layout beautification and has recently added AI. Yi Zhuan focuses on analysis, while 135 focuses on layout; WeChat Official Account operators often keep both open.
Who Should Use Yi Zhuan?
Text-and-Image Self-Media Operators: Daily posters for WeChat Official Accounts and Toutiao who suffer from topic anxiety—this is the direct antidote. They are the core audience; the product was built around their workflow.
MCNs and Content Studios: For batch topic selection and production across multiple account matrices, data-driven content strategies require this kind of infrastructure.
New Media Editors Chasing Trends: The rhythm of trending tracking plus rapid draft generation makes this standard equipment for time-sensitive content.
SMEs Doing Content Marketing: Without dedicated operations staff, use data references to reduce topic trial-and-error costs and AI drafting to lower the production threshold.
Usage Boundaries: What You Must Understand
Viral analysis is a reference frame, not an answer: everyone can see the viral hits, so everyone chases them. Purely trend-chasing tracks are always red oceans. Data tells you the wind direction; differentiation still depends on your own angle and accumulation. Use Yi Zhuan as a radar (to know where the battlefield is), not as a navigation system (to drive for you).
The assembly line of AI drafting + data-driven topic selection produces “passing-grade content,” while platform algorithms and readers are becoming increasingly picky. For accounts that stand the test of time, core assets remain unique perspectives and stable personas. Tools amplify capacity, but they cannot amplify soul.
Text-and-image platforms are its home turf; support for formats like short-video scripts is relatively secondary. Creators whose content focus is video should first confirm compatibility.
Pricing
The free version offers basic functional experience; paid memberships (monthly/annual) unlock full data analytics, AI generation quotas, and advanced features. Pricing is aimed at individual creators and falls into the lightweight tier. Refer to the official website for specifics.
Testing Yi Zhuan’s value is simple: open its viral library, search your niche, and spend ten minutes looking—if those headline structures and topic directions give you an information increment that makes you think, “So this kind of content is driving volume,” then it’s worth adding to your workflow; if you already know your niche’s data inside out, what you probably need is just a writing tool.