Block 1 - Schedule Monitoring
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.3
Monitor brand reputation and detect crises with GPT-4, Slack and Gmail
Workflow preview
100%
$20/month : Unlimited workflows
2500 executions/month
THE #1 IN WEB SCRAPING
Scrape any website without limits
HOSTINGER 
Early Deal
DISCOUNT 20% Try free
Early DealDISCOUNT 20%
Self-hosted n8n
Unlimited workflows - from $4.99/mo
#1 hub for scraping, AI & automation
6000+ actors - $5 credits/mo
Important notice
This workflow is provided as-is. Please review and test before using in production.
1. Workflow Overview
How It Works This workflow automates brand reputation monitoring by analyzing sentiment across news, social media, reviews, and forums using AI powered trend detection. Designed for PR teams, brand...
Best for
- Market Research automation workflows
- AI Summarization automation workflows
- advanced n8n builders looking for reusable templates
Tools used
n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.merge, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.if
Source and attribution
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cheng Siong Chin.
Original n8n.io source1.1 Workflow description
- Title
- Monitor brand reputation and detect crises with GPT-4, Slack and Gmail
- Workflow name
- Monitor brand reputation and detect crises with GPT-4, Slack and Gmail
How It Works
This workflow automates brand reputation monitoring by analyzing sentiment across news, social media, reviews, and forums using AI-powered trend detection. Designed for PR teams, brand managers, marketing directors, and crisis communication specialists requiring real-time awareness of reputation threats before they escalate.The template solves the challenge of manually tracking brand mentions across fragmented channels—news outlets, Twitter, Instagram, review sites, Reddit, industry forums—then identifying emerging crises hidden in sentiment shifts and volume spikes.Scheduled execution triggers four parallel HTTP nodes fetching data from news APIs, social media monitoring services, review aggregators, and forum discussion platforms. Merge node combines all sources, then normalization ensures consistent data structure. OpenAI GPT-4 with structured output parsing performs sophisticated sentiment analysis and trend detection, identifying sudden negative sentiment surges, coordinated criticism patterns, and viral complaint escalation.
Setup Steps
- Configure HTTP nodes with API credentials for news monitoring service
- Add OpenAI API key to Chat Model node for sentiment and trend analysis
- Connect Slack workspace and specify crisis response team channel
- Integrate Gmail account with PR leadership distribution list
- Set up Google Sheets connection and create monitoring dashboard
Prerequisites
OpenAI API key, news monitoring API access
Use Cases
Consumer brands monitoring product launch reception and identifying quality issues early
Customization
Modify AI prompts for industry-specific crisis indicators
Benefits
Reduces crisis detection time from hours to minutes enabling damage control before viral spread
1.2 Logical Blocks
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
2. Block-by-Block Analysis
Block 2 - Workflow Configuration
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.4
Block 3 - Fetch News Articles
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.3
Block 4 - Fetch Social Media Mentions
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.3
Block 5 - Fetch Online Reviews
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.3
Block 6 - Fetch Forum Discussions
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.3
Block 7 - Combine All Sources
- Type / Role
- n8n-nodes-base.merge - merge
- Config choices
- Version 3.2
Block 8 - Normalize Data Structure
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.4
Block 9 - Sentiment & Trend Analysis Agent
- Type / Role
- @n8n/n8n-nodes-langchain.agent - agent
- Config choices
- Version 3.1
Block 10 - OpenAI GPT-4
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
- Config choices
- Version 1.3
Block 11 - Structured Analysis Output
- Type / Role
- @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
- Config choices
- Version 1.3
Block 12 - Check for Crisis
- Type / Role
- n8n-nodes-base.if - if
- Config choices
- Version 2.3
Block 13 - Send Crisis Alert to Slack
- Type / Role
- n8n-nodes-base.slack - slack
- Config choices
- Version 2.4
Block 14 - Send Crisis Alert Email
- Type / Role
- n8n-nodes-base.gmail - gmail
- Config choices
- Version 2.2
Block 15 - Log to Monitoring Dashboard
- Type / Role
- n8n-nodes-base.googleSheets - googleSheets
- Config choices
- Version 4.7
Block 16 - Prepare Dashboard Data
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.4
Block 17 - Sticky Note
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 18 - Sticky Note1
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 19 - Sticky Note2
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 20 - Sticky Note3
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 21 - Sticky Note4
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
Block 22 - Sticky Note5
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
3. Summary Table
| Workflow | Monitor brand reputation and detect crises with GPT-4, Slack and Gmail |
|---|---|
| Complexity | advanced |
| Nodes | 22 |
| Categories | Market Research, AI Summarization |
| Author | Cheng Siong Chin |
| Published | 29 Dec 2025 |
4. Reproducing the Workflow from Scratch
-
1. Download the workflow JSON
Use the JSON export at /data/workflows/12283/12283.json as the source template for this automation.
-
2. Import the template into n8n
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
-
3. Configure credentials and variables
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
-
4. Test with sample data
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
-
5. Activate and monitor
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
5. General Notes & Resources
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Frequently asked questions
What does Monitor brand reputation and detect crises with GPT-4, Slack and Gmail do?
How It Works This workflow automates brand reputation monitoring by analyzing sentiment across news, social media, reviews, and forums using AI powered trend detection. Designed for PR teams, brand...
What do I need before importing this workflow?
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Can I customize this workflow?
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Summarization use case.