AI-Powered Workflow to Become a Top LinkedIn Voice
This workflow is designed to help users efficiently acquire and generate professional advice content for LinkedIn. By automatically searching for the latest LinkedIn articles each week, it extracts links and information, and utilizes AI models to generate unique insights. The final results are then published to Slack and stored in NocoDB. It addresses the tediousness of manually searching for professional articles, supports the continuity and novelty of content creation, and promotes knowledge sharing and collaboration within the team, ultimately enhancing work efficiency.
Workflow Name
AI-Powered Workflow to Become a Top LinkedIn Voice
Key Features and Highlights
This workflow automates the process of weekly retrieving the latest LinkedIn advice articles via Google Search, automatically extracting article links and content, leveraging AI models to generate unique and high-quality professional insights, and synchronously publishing the results to Slack team channels and a NocoDB database. It delivers an all-in-one intelligent solution for content discovery, generation, and distribution.
Core Problems Addressed
- Time-consuming and labor-intensive manual searching and filtering of professional advice articles within the LinkedIn domain
- Difficulty in sustaining content creation with fresh and unique perspectives
- Inconvenient internal team sharing and content archiving, hindering knowledge accumulation and collaboration efficiency
Use Cases
- Professionals seeking to regularly access the latest LinkedIn advice articles in their industry and quickly produce personal insights
- Content marketing teams needing efficient original content generation to maintain LinkedIn engagement and influence
- Community managers or team leaders aiming to centrally manage and share industry insights and contributed content
Main Workflow Steps
- Scheduled Trigger: Automatically initiates every Monday at 8:00 AM.
- Google Search: Executes Google searches via HTTP requests based on predefined topics to locate relevant LinkedIn advice articles.
- Link Extraction: Parses search results using regular expressions to extract all URLs of LinkedIn advice articles.
- Deduplication: Merges and filters duplicate links to ensure uniqueness of articles processed subsequently.
- Content Retrieval: Sends HTTP requests individually to fetch the HTML content of each LinkedIn article.
- Content Extraction: Extracts article titles, topics, and other user contributions from the HTML.
- AI-Generated Contributions: Calls the OpenAI GPT-4 model to generate unique and valuable advice based on the article content.
- Publishing and Storage: Publishes the AI-generated content along with article links to designated Slack channels and saves them into the NocoDB database for easy future querying and management.
Systems and Services Involved
- Google Search (via HTTP requests)
- OpenAI GPT-4 Model (AI content generation)
- Slack (team communication and content publishing)
- NocoDB (content storage and management)
- Optionally replaceable with Airtable or Google Sheets as the database storage
Target Users and Value
- Individual content creators and active LinkedIn users, helping them consistently produce high-quality original content and enhance personal brand influence.
- Marketing and content teams, saving time on content research and creation while enabling automated content operations.
- Corporate community managers and knowledge managers, facilitating internal sharing of industry insights and promoting collaborative innovation.
This workflow is jointly developed by the Let's Automate It community and Optimus Agency, designed to help users leverage AI to improve LinkedIn content creation efficiency and impact, achieving long-term professional growth and social media success.