Automating LinkedIn Content Creation Process

Oct 27, 2024

Building a No-Code LinkedIn Agent: Automating Content Process

Introduction

  • Ben demonstrates how to build a no-code LinkedIn agent.
  • Focus: Automating content process (1st video of a two-part series).
  • Benefits: Saves hours in content creation and management.
  • Part 2: Automating LinkedIn outreach.

Importance of LinkedIn

  • LinkedIn as a tool for lead generation.
  • Consistent quality content posting is challenging.
  • Key activities: Research top posts, generate ideas, engage with others, write engaging posts.

Features of the LinkedIn Agent

  • Streamlines content creation for LinkedIn.
  • Real-time access to top-performing posts for idea generation.
  • Uses RAG (retrieval-augmented generation) to find similar posts.
  • Drafts posts using YouTube videos or other content.
  • Writes posts in an effective LinkedIn tone using fine-tuned language models.
  • Can schedule or directly post on LinkedIn.

Demonstration

  • Shows agent retrieving top posts from a LinkedIn database.
  • Allows viewing and analyzing top-performing posts without accessing LinkedIn.
  • Can find similar posts based on a given idea.
  • Drafts post variations using a fine-tuned LinkedIn post writer tool.
  • Incorporates a human-in-the-loop step for editing before posting.

Advantages

  • Saves time by automating content research and creation.
  • Provides real-time, up-to-date data access.
  • Enhances the content creation process.
  • Can be set up to automatically scrape LinkedIn posts.

System Overview

  • Built in Relevance AI with m.com for easier integrations.
  • Utilizes five tools including content calendar management and LinkedIn posting.
  • Accesses two databases: LinkedIn post database in Air Table and a knowledge base in Relevance AI.

Setup Details

Agent Setup

  • Expert LinkedIn Assistant for content ideation, creation, and publishing.
  • Utilizes specific tools for database querying and content posting.

Query LinkedIn Database Tool

  • Retrieves records from a LinkedIn post database.
  • Filters and sorts data using Air Table and make.com integrations.

Knowledge Base in Relevance AI

  • Uses RAG for finding similar posts.
  • Capable of vector searches and keyword-based searches.

LinkedIn Scraper Tool

  • Scrapes LinkedIn profiles daily and updates databases.
  • Uses a Google Sheets list of LinkedIn URLs for scraping.

Fine-Tuned LinkedIn Post Writer

  • Based on customized language models for personal tone.
  • Generates post variations for approval and editing.

Posting Tools

  • Content calendar updating and direct LinkedIn posting.
  • Utilizes API steps to connect with make.com for seamless integration.

Conclusion

  • Complete template available for free in Ben’s community.
  • Emphasizes the power and potential of AI agents in business automation.
  • Encourages learning RAG, database querying, and fine-tuning models for building efficient AI systems.