For small-team copy automation, the core is templates, a content library, and a review flow, not piling up tools. First standardize channel formats, then let AI produce drafts in batches. Humans only check facts and brand tone.
Break WeChat official account posts, Xiaohongshu posts, and short-video scripts into title, opening, selling points, and CTA. For each type, specify word count, banned words, and required information. AI produces according to templates, keeping the format stable and reducing repeated edits.
Organize product specs, user cases, pricing policies, and brand terms. Feed them to the AI via a spreadsheet or knowledge base, and require it to cite sources. Without a content library, AI tends to make up selling points, which makes review more expensive.
AI generates the first draft, operations checks facts and compliance, and the owner decides brand tone. Set veto items: pricing, efficacy claims, promises, and competitor comparisons. Once approved, schedule publishing and keep a version history.
No. Start with your existing docs plus a general-purpose AI, and get templates and review running first. Buy batch generation, scheduling, and collaboration tools only after your needs stabilize.
Feed the AI real user Q&A and scenario details, and require each piece to use a different angle or example. Add team opinions and recent trends manually.
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