LinkedIn AI Strategy

LinkedIn AI Strategy

Guidance for creating high-engagement LinkedIn content focused on enterprise AI topics. Designed for building thought leadership as a strategic advisor and pragmatic executive voice.

Content Philosophy

Brand Voice: Strategic Advisor + Pragmatic Executive

Blend two complementary voices:

Strategic Advisor: Help leaders navigate AI transformation decisions with clarity

• Frame AI as a business transformation lever, not just technology
• Connect AI capabilities to strategic outcomes
• Anticipate questions executives ask before investing

Pragmatic Executive: Battle-tested insights from real implementations

• Share lessons from actual AI deployments (successes and failures)
• Cut through hype with grounded perspective
• Focus on what actually works vs. what sounds good in demos

Core Topic Areas

1. AI Adoption in Enterprise - Rollout strategies, change management, stakeholder buy-in
2. AI Readiness for Organizations - Assessment frameworks, capability gaps, prerequisites
3. Organization Structure for AI - Team composition, reporting lines, CoE vs. embedded models
4. AI at Scale - Moving from pilots to production, governance, MLOps maturity
5. AI Strategy/Ethics - Responsible AI, bias mitigation, transparency, regulatory considerations
6. AI Industry News - Major announcements, funding, product launches, research breakthroughs

Post Formats

1. Story-Driven Posts

Open with a specific moment or scenario. Build tension. Deliver insight.

Structure:

• Hook: Specific moment ("Last Tuesday, our AI project almost got killed...")
• Context: Set the scene (2-3 lines)
• Tension: What went wrong or what was at stake
• Resolution: What happened
• Lesson: The transferable insight
• CTA: Invite engagement

2. List/Framework Posts

Numbered insights that provide actionable value.

Structure:

• Hook: Promise clear value ("5 signs your AI initiative is about to stall")
• Setup: Brief context (1-2 lines)
• Items: 3-7 numbered points with brief explanations
• Synthesis: Tie it together
• CTA: Ask which resonates most

3. Hot Take/Opinion Posts

Strong point of view on industry trends.

Structure:

• Hook: Contrarian statement ("Unpopular opinion: Most AI strategies fail before the first model is built")
• Support: 2-3 reasons why
• Nuance: Acknowledge counterarguments
• Stakes: Why this matters
• CTA: Ask for agreement/disagreement

4. News Commentary Posts

React to breaking AI news with expert perspective.

Structure:

• Hook: Reference the news ("OpenAI just announced X. Here's what it means for enterprise...")
• Context: Brief summary for those who missed it
• Analysis: Your unique take (what others miss)
• Implications: Who this affects and how
• CTA: Ask what others think

Hook Writing

The first line determines whether people read. It must stop the scroll.

High-Performing Hook Patterns

1. Specific Number + Outcome: "We reduced AI project costs by 47% with one change"
2. Contrarian Statement: "Stop building AI chatbots. Here's why."
3. Curiosity Gap: "The AI feature that's killing enterprise adoption (and no one talks about it)"
4. Vulnerable Opening: "I made a $2M mistake with our AI strategy"
5. Direct Question: "Why do 87% of AI pilots never make it to production?"
6. News + Opinion: "[Company] just did X. This changes everything for..."
7. Pattern Interrupt: "Forget ROI. The real metric for AI success is..."
8. Time-Based Urgency: "In 18 months, companies without X will be..."

Hook Rules

• First 5 words must earn the next 5
• Avoid generic openings ("In today's world...", "AI is transforming...")
• Be specific (numbers, names, timeframes)
• Create information asymmetry (reader must continue to close the gap)

Engagement Optimization

Ideal Post Structure

• Length: 150-300 words (sweet spot for LinkedIn algorithm)
• Line breaks: Every 1-2 sentences for mobile readability
• White space: Use single-line paragraphs
• Formatting: Sparingly use bold for key phrases (not available in all views)

Call-to-Action Patterns

End posts with engagement drivers:

• "Which of these resonates most with you?"
• "What would you add to this list?"
• "Agree or disagree?"
• "Have you seen this pattern in your organization?"
• "Drop a [emoji] if this hits home"

Posting Strategy (1-2 posts/week)

Quality over quantity approach:

• Focus on one deeply thoughtful post per week
• Optional second post for timely news/reactions
• Engage heavily in comments on posting day (first 2 hours critical)
• Respond to every comment to boost algorithmic reach

Content Storage

Store all generated content and ideas in .claude/linkedin-ai-voice.local.md:

---
last_updated: YYYY-MM-DD
posts_generated: N
---

# LinkedIn AI Voice - Content Archive

## Ideas Backlog
- [idea 1]
- [idea 2]

## Generated Posts
### [Date] - [Topic]
**Hook**: ...
**Post**: ...
**Performance notes**: ...

## Engagement Learnings
- What worked: ...
- What didn't: ...

Additional Resources

Reference Files

• references/hooks-library.md - 50+ proven hook templates organized by format
• references/topic-angles.md - Deep dive angles for each core topic area

Example Files

• examples/story-post.md - Complete story-driven post example
• examples/framework-post.md - Complete list/framework post example
• examples/hot-take-post.md - Complete opinion post example

Quick Reference

Format	Best For	Length	Hook Style
Story	Building connection, memorable lessons	200-300 words	Specific moment
List	Actionable value, shareability	150-250 words	Number + outcome
Hot take	Engagement, positioning	100-200 words	Contrarian
News	Timeliness, relevance	150-200 words	News + opinion