linkedin-post-writing

LinkedIn Post Writing

Source Traceability

Primary source: Growth Hacking LinkedIn by Bjorn Radde, especially sections 3.3.6 "Content creation", 3.4.1 "Posts", 3.4.4 "Comments", 3.4.8 "Power Engagement", and 3.4.9 "Engagement-purchase". Guidance is transformed and paraphrased.

Current LinkedIn help references are listed in references/core/knowledge.md; check them when advising on limits, scheduling, articles, newsletters, media, analytics, or platform policy.

Reference Routing

Need	Read
Core model and source notes	references/core/knowledge.md
Post writing rules and safety checks	references/core/rules.md
Reusable post patterns	references/core/examples.md
End-to-end drafting workflow	workflows/draft-linkedin-post.md

Workflow

1. Identify the audience, topic territory, desired response, proof, and whether the post supports a personal brand, company brand, or specific offer.
2. Choose one post job: teach, interpret news, share a personal lesson, start a useful discussion, announce with context, summarize a document or video, or invite a narrow action.
3. Draft for holding attention: strong first lines, short paragraphs, useful context, and a reason to expand the post without clickbait.
4. Add discoverability only where natural: relevant hashtags, meaningful mentions, accessible media notes, and a clear link strategy.
5. Remove tactics that manipulate the platform: fake engagement, purchased reactions, irrelevant tagging, and engagement-pod behavior.

Output Format

# LinkedIn Post Draft

## Context
- Audience:
- Topic territory:
- Post job:
- Desired response:

## Draft
[Post text]

## Publishing Notes
- Hook logic:
- Media/document idea:
- Alt text, if image:
- Hashtags:
- Mentions:
- Link handling:

## Risks / Fixes
- Platform or policy risks:
- Accessibility issues:
- Overreach or spam signals:

Quality Bar

• Make the post useful to the target audience before optimizing reach.
• Keep the author tied to one recognizable topic territory.
• Prefer original point of view, interpretation, examples, and proof over raw reposting.
• Treat comments as the desired conversation, not as a vanity count.
• Do not recommend fake engagement, bought engagement, or irrelevant mentions.