Automating Daily LinkedIn Thought Leadership Posts
Shorya Vijayvargiya
✅ Case Study: Automated Daily Thought Leadership Engine for
Brightscale Consulting
Client: Brightscale Consulting
Industry: Business Coaching / Personal Branding / Thought Leadership
Project Title: Automating Daily LinkedIn Thought Leadership Posts
🧩 The Problem
Brightscale’s founder wanted to establish a strong presence on LinkedIn by sharing original thought leadership daily. However:
She didn’t have time to ideate, write, or schedule posts consistently
Delegating to the team was difficult due to the nuanced tone and voice required
Manual workflows made it hard to scale or maintain momentum
Inconsistent posting meant missed opportunities for visibility and inbound leads
The goal was to create a system that generated insightful content in her voice, aligned with current trends, and required zero manual effort to publish.
⚙️ The Solution
I designed a fully automated LinkedIn content engine powered by AI and connected workflows — from ideation to publishing.
🧠 Workflow Breakdown
1. Morning Trigger (Daily at 6 AM)
A Make.com scheduler initiated the workflow
It pulled trending business topics from sources like Google Trends and industry newsletters (via RSS + API parsing)
2. AI-Generated Content in Brand Voice
Topics were sent to OpenAI (GPT-4o) with a custom prompt trained on the founder’s past writing samples
Output: A single daily LinkedIn post (formatted, punchy, and on-brand)
Tone calibration included empathy, expertise, and a subtle CTA without sounding salesy
3. Review & Collaboration Workspace
The AI-generated post was sent to a shared Notion database (editable by the team)
A Slack message was triggered in #content-review with:
The day’s drafted post
Approve / Edit buttons
A link to the Notion card for inline feedback
4. Scheduling & Publishing
Upon approval, the post was automatically scheduled via Buffer API for 9:00 AM that day
If no action was taken by 8:45 AM, the post defaulted to “auto-approved” and queued for posting
5. Logging & Analytics
Each post, topic, and engagement data (likes/comments/DMs) was tracked in Airtable
Created a lightweight dashboard to track:
Topics that performed best
Engagement growth week-over-week
Conversion triggers (e.g., post → DM → booked call)
🛠️ Tools Used
Make.com – Automation engine
OpenAI (GPT-4o) – Content generation in trained voice
Notion – Content collaboration hub
Slack API – Daily preview and approval system
Buffer API – LinkedIn publishing
Airtable – Analytics and content tracking
🎯 Results
6–8 hours/week saved by eliminating manual writing and scheduling
3× increase in engagement within the first 3 weeks
4 high-ticket coaching clients booked directly from inbound DMs
100% consistency in posting — even on weekends and holidays
Created a scalable content engine that matched the founder’s tone without her having to touch a keyboard
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Posted Jul 19, 2025
AI-powered system that generates, reviews, and auto-posts daily LinkedIn content in the founder’s voice—driving engagement and inbound leads at scale.
