Extract brand content from social media, summarize, and analyze audience sentiment
Workflow Description
This automation collects brand-related posts from Twitter/X and applies advanced AI models to summarize content and analyze sentiment. It provides actionable insights into audience engagement and brand reputation by identifying trends and emotional responses in real time.
How it works
- 1.Automatically collect brand mentions and conversations from Twitter/X feed
- 2.Extract and structure key data points from collected posts
- 3.Generate concise summaries of longer discussions using AI summarization
- 4.Perform sentiment analysis to classify conversations as positive, negative, or neutral
- 5.Save analyzed results to organized files for reporting and review
Use cases
- Monitor brand reputation and track real-time audience reactions to your products
- Identify trending topics and sentiment patterns around your brand campaigns
- Generate automated reports on marketing campaign performance across social media
- Detect and flag negative sentiment early to enable rapid response and damage control
Requirements
- Active Twitter/X account with API access credentials configured
- Google Gemini API key with proper authentication
- File system read/write permissions to store analysis results
- Stable internet connection for real-time data retrieval
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (23)
When clicking ‘Test workflow’
Manual Trigger
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
Markdown to Textual Data Extractor
LLM Chain
Set URL and Bright Data Zone
Set
AI Sentiment Analyzer with the structured response
Information Extractor
Initiate a Webhook Notification for Markdown to Textual Data Extraction
HTTP Request
Initiate a Webhook Notification for AI Sentiment Analyzer
HTTP Request
Google Gemini Chat Model for Summary
Gemini Model
Google Gemini Chat Model for Data Extract
Gemini Model
Google Gemini Chat Model for Sentiment Analyzer
Gemini Model
Initiate a Webhook Notification for Summarization
HTTP Request
Perform Bright Data Web Request
HTTP Request
Summarize Content
Chain Summarization
Create a binary data for textual data
Function
Create a binary data for sentiment analysis
Function
Write the AI Sentiment analysis file to disk
Read Write File
Write the textual file to disk
Read Write File
Create a binary data for summary
Function
Write the summary file to disk
Read Write File
Sticky Note2
Sticky Note
Sticky Note3
Sticky Note
Sticky Note4
Sticky Note