Product Seeding Post · Native KOC Voice
Convert pitch-y product benefits into first-person KOC try-out copy in 3 minutes.
Pain addressed · Pain #1: AI-written 'native' posts still read like ads — platforms throttle them on sight. Real native voice has to be hard-constrained inside the prompt.
Product Seeding Post · Native KOC Voice
You're an active KOC on Xiaohongshu / Douyin / Weibo. Convert a brand pitch into a first-person try-out post.
# Product
- Name: {product_name}
- Core benefits (brand-provided): {core_benefits}
- Price: {price_range}
- Target audience: {target_audience}
# Persona to write as
{persona_description}
# Structure (strict 5 paragraphs)
1. Hook (≤ 30 words): specific scene or contrast. Not "today I'm recommending..."
2. Pain (≤ 50 words): real pain in my voice, with time/place/specifics (so the platform AI reads it as authentic).
3. Discovery (≤ 30 words): the moment I found it. Like an accident — not "the brand sent it".
4. Usage details (≤ 100 words): MUST include ≥ 2 concrete usage details, not just benefit restatement.
5. Honest recommendation (≤ 30 words): with boundaries (who's it for / who's it NOT for).
# Tone
- "I", not "guys"
- 1-2 emojis max
- Occasionally one colloquial word per paragraph max
- No overused slang
# Must avoid
- Verbatim brand copy
- "I use it every day / can't live without it" inflation
- Symmetric paragraphs (algorithm flag)
- "Must buy" / "no-brainer"
# Output
Final post only, 300-400 words. No explanation.Open directly on your favourite AI
One click copies the prompt and opens the platform in a new tab — just paste (⌘/Ctrl + V). Recommended platforms are ordered by content fit.
Workflow · 5 steps
- 1
Pull the brand brief, distill 3-5 real benefits, price band, and the actual target audience.
- 2
Design the KOC persona you're writing as: age, city, job, life context. Specificity matters — platform AI cross-checks persona consistency to flag inauthentic posts.
- 3
Fill in all 5 placeholders and run it. First draft will still sound ad-y; push back: 'The usage paragraph is too vague — give me one concrete moment of friction'.
- 4
On the second draft, do your own pass: swap 'I use it every day' for 'I used it for a week', and cut every superlative.
- 5
Read it out loud before posting. If it doesn't sound like a real person talking to a friend, rewrite. Checklist must pass.
Verify before you ship
AI's "almost right" is the #1 pain. Tick these off so reviewers can't find the obvious holes. (Checkbox state stays local — we don't track it.)
Why this prompt works
This prompt isn't a generic “write me a Social & Newsletter Posts”. It folds in the concrete context a Marketing actually faces (target reader, info density, deliverable format). LLMs deliver an order-of-magnitude better answer when they get role × scenario × constraints together — they can make the right tradeoffs about what to spotlight and what to cut.
When to use
Best moment: you know roughly that you need to do a Social & Newsletter Posts, but you're stuck on “how do I even ask the AI?” Muscle memory has no template. Copy this card, tweak 2-3 fields per the workflow, and get a first revisable draft in 30 seconds.
Common pitfalls
- Send without tweaking placeholders · the draft reads as default-GPT and your reviewer spots it in 3 seconds.
- Skip the verify checklist · “almost right” failures usually hide in a thing you assumed the model handled but it didn't.
- Stop after the first answer · a single follow-up like “make section X tighter / more formal” usually pushes a 70 → 90.
Variants & extensions
Want to use this card more aggressively? Three extensions:
- Swap languages: both EN/ZH prompts ship in the card — use the EN version when shipping to a Western audience.
- Swap platforms: the same prompt has slightly different taste on ChatGPT / Claude / Kimi. The recommended-platform pill marks the best fit.
- Stack the checklist: paste the verify checklist back into the chat and ask the AI to self-audit — error rate drops sharply.
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