Phy Linkedin Gtm

SKILL.md

---
name: linkedin-gtm
description: LinkedIn go-to-market strategy for founders and product builders. Use when planning LinkedIn content, targeting DTC brand operators, B2B decision makers, or investors. Triggers on "LinkedIn strategy", "LinkedIn for founders", "investor outreach on LinkedIn", "B2B content", "professional networking", or any LinkedIn marketing planning.
homepage: https://canlah.ai
metadata: {"openclaw": {"emoji": "💼", "os": ["darwin", "linux"]}}
---

# LinkedIn GTM Strategy

Founder-led professional brand strategy targeting DTC operators and investors with authentic, non-corporate voice that stands out.

---

## Content Creation Workflow (Must Follow)

Every time creating LinkedIn content, follow this workflow:

### Step 1: Research Hot Content

**Required Actions:**
1. Search LinkedIn for trending posts in your topic (use WebSearch or browser)
2. Record high-performing posts':
   - Hook structure (first 2-3 lines)
   - Format (text, carousel, poll)
   - Engagement patterns (what gets comments vs likes)
   - Tone and voice
3. Analyze success factors (vulnerability, specific numbers, contrarian takes)

**Search Examples:**
```
LinkedIn [topic] viral post
LinkedIn founder [topic] high engagement
site:linkedin.com [topic] lessons learned
```

### Step 2: Extract Winning Patterns

| Dimension | What to Extract |
|-----------|-----------------|
| **Hook Formula** | First line structure that stops scroll |
| **Story Arc** | How they build tension and payoff |
| **Number Usage** | Specific metrics that add credibility |
| **CTA Design** | How they drive comments |
| **Format Choice** | Text vs carousel vs other |

### Step 3: Adapt with Your Brand Voice

**Brand Voice:**
- Authentic + sharp — substantive without corporate polish
- Real builder insights, not theory
- Anti-"LinkedIn bro" — no broetry, no humblebrags
- Specific numbers and real failures

**Adaptation Rules:**
1. Keep the winning hook structure
2. Replace with YOUR real stories and data
3. Add specific dollar amounts ($400 → $180, saved $1,000+)
4. Include genuine vulnerability ("still cringe thinking about it")
5. End with engagement hook that invites real conversation

### Step 4: Deliver Complete Content

**Deliverables Checklist:**
- [ ] Hook (first 2-3 lines that stop scroll)
- [ ] Body (specific numbers, real story, clear lesson)
- [ ] CTA (question that invites genuine responses)
- [ ] Self-comment to add (post 10 min after)
- [ ] Reply templates for common response types
- [ ] Hashtags (3-5 max)
- [ ] Posting time (align with 8-11 AM audience timezone)

---

## Core Positioning

**Voice:** Authentic + sharp — substantive expertise without corporate polish
**Audiences:** DTC brand operators, B2B decision makers, investors/VCs
**Differentiation:** Real builder insights, anti-"LinkedIn bro" positioning

## Algorithm Essentials (2025)

- **Golden Hour:** First 60 minutes critical for distribution
- **Comments = 15x likes** in algorithmic weight
- **Saves** strongest reach signal
- **Dwell time** is key — carousels get 2-3 min vs 15-30 sec for text
- Posts can remain visible **2-3 weeks** if signals stay strong
- AI-generated content receives **30% less reach, 55% less engagement**

## Format Performance

| Format | Reach Multiplier | Notes |
|--------|-----------------|-------|
| Polls | 1.64x | Use sparingly |
| Document/Carousels | 1.45x | Optimal: 12 slides, 25-50 words/slide |
| Native Video | 1.10x | Growing 6x QoQ |
| Text-Only | 1.17x | Declining |

## Posting Framework

| Element | Spec |
|---------|------|
| Frequency | 3-4x/week |
| Best times | 8-11 AM, Tue-Thu |
| Never | Post twice in 24 hours (2nd gets killed) |
| Never | 3 consecutive carousels (35% reach drop) |
| Never | External links in main post (25-40% reach penalty) |

## Content Pillars (Pick 3-5)

1. **Product/Industry Insights** — What you're seeing in your domain
2. **Builder Journey** — Behind-scenes, lessons, milestones
3. **Thought Leadership** — Original frameworks, contrarian takes
4. **Customer Stories** — Transformations, results, partnerships
5. **Personal/Authentic** — Founder life, team moments, values

## Voice Guidelines

**Use:**
- Lead with personal experience, not theory
- Share real numbers and metrics
- Acknowledge failures alongside wins
- Take clear positions on issues

**Avoid (LinkedIn Bro Trap):**
- Single-sentence "broetry" paragraphs
- Humblebrags disguised as vulnerability
- "Grind", "crush it", "game-changing"
- Formulaic clickbait hooks

## Investor Relationship Building

- **78% of seed investors** research founders on LinkedIn before meetings
- **LinkedIn followers = strongest predictor** of funds raised (69% accuracy)
- Start building presence **12+ months before raising**
- **Cold LinkedIn pitches: <1% success rate** — build relationships first

## Conference/Event Content Strategy (CES/MWC etc.)

### High-Performing Formats

| Format | Use Case | Engagement |
|--------|----------|------------|
| **Carousel** | Money/time comparisons, lessons learned | 1.45x reach |
| **Long-form text** | Personal stories, reflections | High comments |
| **Lists** | Tips, checklists, observations | High saves |

### Content Arc for Conferences

**Pre-Event (1-2 weeks before):**
- "Second time at X, here's what I learned last time"
- Preparation checklists with specific numbers
- Money mistakes to avoid

**During Event (daily/every other day):**
- "Day X: 3 observations that surprised me"
- Real-time insights, not press release summaries
- Behind-the-scenes moments

**Post-Event (1 week after):**
- Trend reports with founder perspective
- ROI analysis (actual numbers)
- "One thing I'd tell first-timers"

### Hook Patterns That Work

```
Experience Hook: "Second time at CES. Last year I made every rookie mistake..."
Money Hook: "I wasted $1,400 at my first CES. Here's how..."
Contrarian: "Everyone's excited about X at CES. Here's what they're missing..."
Lesson Hook: "The biggest lesson from CES wasn't about technology..."
```

### What to Avoid

- Press release style announcements
- "Excited to be at CES!" posts with no value
- Product promotion disguised as insights
- Same post as everyone else

---

## Input/Output Examples

### Example 1: Standard Post Request

**User Input:**
> "帮我写一篇关于 CES 准备的 LinkedIn 帖子"

**Expected Output:**
```
Second time at CES. Last year I made every rookie mistake.

Here's what I'm doing differently:

1. Booked hotel in September ($180/night vs $400+ in December)

2. Pre-scheduled 12 meetings through Brella (90% of meetings are booked before the event)

3. Prepared offline demo (WiFi at the venue? Don't count on it)

4. Packed comfortable shoes (15,000+ steps per day is real)

5. Blocked 2 hours post-event daily for follow-up (response rates drop 50% after 72 hours)

The biggest shift in mindset:

CES isn't about collecting business cards.

It's about having conversations worth following up on.

What's your CES prep ritual?

---
Format: Text post ✓
Lines: 20 (spaced for readability) ✓
Specific numbers: $180, 12 meetings, 90%, 15,000 steps, 50%, 72 hours ✓
CTA: Question at end ✓
Hashtags: #CES2026 #FounderLife #BuildInPublic
Post time: 9:00 AM EST Tuesday
```

**Self-comment (post 10 min later):**
```
The thing nobody tells you: the best meetings happen at the unofficial dinners, not on the show floor.

If you're going to CES, DM me — happy to share my list of side events worth attending.
```

### Example 2: Carousel Request

**User Input:**
> "帮我做一个关于 AI brand creative 的 carousel"

**Expected Output:**
```
Carousel: 12 slides

Slide 1 (Cover):
"Why most AI creative tools fail at branding"
(And what to do instead)

Slide 2:
The promise: "Generate unlimited content"
The reality: Everything looks the same

Slide 3:
I tested 15 AI tools for brand creative.
Here's what I found:

Slide 4:
Problem #1: No brand memory
Every generation starts from zero.

Slide 5:
Problem #2: Style drift
Generation 1 and generation 100 look nothing alike.

Slide 6:
Problem #3: Generic defaults
Tools optimize for "good" not "on-brand"

Slide 7:
The missing piece:
[Your brand technology]

Slide 8:
What is it?
Mathematical modeling of visual style —
the same way humans remember "what our brand looks like"

Slide 9:
Results after implementing:
• 10 hours saved/week
• 90% first-pass approval rate
• Zero "make it more on-brand" feedback loops

Slide 10:
The shift happening:
AI that generates content
→ AI that generates YOUR content

Slide 11:
Building this at [Your Company].
DM "STYLE" for early access.

Slide 12:
Follow for more on AI + brand
(No LinkedIn bro energy, promise)

---
Slides: 12 ✓
Words per slide: 15-40 ✓
Visual notes: Brand accent color, clean typography, one idea per slide
```

### Example 3: Milestone Announcement

**User Input:**
> "我们刚拿到了一个大客户，帮我写个帖子"

**Response Pattern:**
1. Ask: "Which client? What problem did you solve? Any metrics?"
2. Generate post avoiding:
   - Humblebrags ("Excited to announce...")
   - Name-dropping without context
   - Vague claims

**Example Output:**
```
We just signed our first Fortune 500 client.

But here's what I'm actually proud of:

It took 47 cold emails to get the first meeting.
6 months of follow-up to close.
3 failed pilots before we got the formula right.

What finally worked?

We stopped selling "AI for creative" and started solving "why does every review cycle take 3 rounds?"

The lesson:

Customers don't buy technology.
They buy fewer headaches.

---
No "thrilled to announce" ✓
Includes real numbers: 47 emails, 6 months, 3 pilots ✓
Ends with insight, not pitch ✓
```

---

## Author

**[Canlah AI](https://canlah.ai)** — Run performance marketing without breaking your brand.

- GitHub: [github.com/PHY041](https://github.com/PHY041)
- All Skills: [clawhub.ai/PHY041](https://clawhub.ai/PHY041)