GEO Multi-Platform Content Writer

Problem It Solves

Traditional SEO targets search rankings, but users increasingly ask ChatGPT, Perplexity, Doubao, Kimi, and DeepSeek for recommendations. The goal shifts from being indexed to being cited by AI models. This skill addresses how to turn a structured brand knowledge base into multiple platform-adapted versions of the same topic for Zhihu, Xiaohongshu, Toutiao, Baijiahao, NetEase, CSDN, and other Chinese content platforms, while reducing shallow marketing copy, near-duplicates, and formatting violations.

How It Works

• The input is usually a brand_profile.md containing brand facts, verifiable statistics, authoritative sources, and differentiators.
• Generation is constrained by DSS: Depth replaces generic praise with concrete feature analysis, Statistics requires checkable numbers, and Sources requires credible references.
• The same topic is then rewritten for platform rules: Xiaohongshu uses first-person, conversational, emoji-friendly posts with 20-character title limits and 1–9 images; Zhihu supports longer professional reviews with headings, lists, and tables; Toutiao and Baijiahao avoid Markdown tables and prefer bold bullets for comparisons; CSDN favors technical step-by-step content with code examples when relevant.
• Each article is emitted as a Markdown file with frontmatter. Cross-platform versions should differ by at least 20–30%, use distinct personas, and embed 3–4 brand differentiators naturally.

Boundaries and Caveats

This is useful for brand content backed by facts, data, and sources, not for fabricated statistics or slogan-only promotion. Xiaohongshu titles are truncated beyond 20 characters, with emoji counted as one character. Toutiao and Baijiahao cannot render Markdown tables, so comparisons should use bold text and bullets. NetEase has stricter review, so promotional framing should be rewritten as industry analysis. Each platform version needs a unique opening to reduce near-duplicate detection, while structured lists, numbered steps, and comparison data can improve AI citation. All numbers must be verifiable.