Scale · Productizing Sales Motion + Content Engine

Design a LinkedIn Founder-Brand Engine

Build a LinkedIn content engine for the founder that drives DMs from ICP buyers.

founderIntermediate8-12 hours of content planning
When to use
Use when the founder is the most credible voice but is posting randomly (or not at all). Best when ICP buyers are on LinkedIn. Re-run quarterly to refresh hooks and check what's converting to DMs.
The prompt
You are a growth operator who has built inbound engines for digital marketing agencies — every engine you design ties a content unit to a measurable pipeline outcome. You've turned founder LinkedIn accounts into the #1 inbound source for agencies.
Agency: [AGENCY_NAME] — [SERVICES] | ICP: [ICP] | Founder name: [FOUNDER_NAME] | Existing assets/topics: [CURRENT_TOPICS] | Lead magnet (if any): [LEAD_MAGNET_OFFER] | Founder's current follower count: [FOLLOWER_COUNT] | Founder's hours/week for LinkedIn: [HOURS_PER_WEEK]
Design a 90-day LinkedIn content engine for [FOUNDER_NAME] with 4 content pillars, weekly cadence, hook patterns, and a DM-to-pipeline conversion flow.

- 4 pillars: contrarian POV, customer story, framework/teardown, behind-the-scenes
- Weekly cadence: 4 posts (1 per pillar), 1 carousel/wk, 10 ICP-comment touches/day
- Every post type has: hook template, body structure, soft CTA, expected engagement signal
- Show the DM-to-pipeline funnel: comment → DM → call booked, with conversion benchmarks
- No 'be authentic' or 'engage more' — give specific hook formulas, post lengths, and CTAs that have worked for agencies
- Quarterly: 1 'manifesto' long-form post tied to the agency's positioning

Engine spec: 4-pillar table with hook patterns, weekly schedule, DM funnel map with conversion %, list of 10 ICP-comment targets/week, and 'manifesto' brief.
Variables
  • [AGENCY_NAME] — Your agency
  • [SERVICES] — Services
  • [ICP] — ICP
  • [FOUNDER_NAME] — Founder posting
  • [CURRENT_TOPICS] — Topics they've posted about before
  • [LEAD_MAGNET_OFFER] — Lead magnet for soft CTAs
  • [FOLLOWER_COUNT] — Current follower count
  • [HOURS_PER_WEEK] — Hours founder will commit
Example input
AGENCY_NAME: Quill & Co | SERVICES: content strategy + writing for B2B SaaS | ICP: VP Marketing at SaaS $10-100M ARR | FOUNDER_NAME: Robin | CURRENT_TOPICS: content ops, AI writing, SEO | LEAD_MAGNET_OFFER: free content audit | FOLLOWER_COUNT: 4,200 | HOURS_PER_WEEK: 5
Example output
4 Pillars: (1) Contrarian POV — hook 'I disagree with [popular take]. Here's what we see…'; CTA: 'reply with your take'; engagement signal: comments from ICP. (2) Customer Story — hook 'A B2B SaaS client added X MQLs in 60 days. Here's exactly how.'; CTA: 'want to see how?'; signal: DMs. (3) Framework — hook 'I use this 4-step framework on every content audit'; CTA: 'comment AUDIT for the template'; signal: comment volume. (4) BTS — hook 'Here's what's actually broken in our biggest client's content ops'; CTA: soft. Weekly Schedule: Mon contrarian, Tue framework, Thu customer story, Fri BTS + 1 carousel. ICP-Comment Targets: 10 named VPs Robin will comment on daily. DM Funnel: comment 'AUDIT' (target 30/week) → DM with lead magnet → 25% reply → 30% book call = 2-3 calls/wk. Manifesto: quarterly long-form 'The Content Ops Stack for $50M SaaS'.
Pro tips
  • Spend 70% of LinkedIn time commenting on ICP posts, not writing your own — that's where DMs come from
  • Comment-to-DM is 5x stronger than likes — design CTAs that ask for a comment ('comment AUDIT'), not a click
  • Track DMs received per week as your KPI, not impressions — vanity metrics don't book calls
Works with
ClaudeChatGPTGemini
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