Automating Daily LinkedIn Thought Leadership Posts

Shorya Vijayvargiya

AI Automation

Automation Engineer

Google Sheets

N8N

Business Management

✅ 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.

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