Monitor brand reputation for negative PR on Reddit with Gemini + LangChain + Sheets

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

Watch the Full Execution on YouTube Workflow Description (in depth): This workflow automates the entire process of monitoring online reputatio...

Best for

AI Summarization automation workflows
Multimodal AI automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.scheduletrigger, n8n-nodes-base.set, n8n-nodes-base.splitout, n8n-nodes-base.googlesheets, n8n-nodes-base.code, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatgooglevertex

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by iamvaar.

Original n8n.io source

1.1 Workflow description

Title: Monitor brand reputation for negative PR on Reddit with Gemini + LangChain + Sheets
Workflow name: Monitor brand reputation for negative PR on Reddit with Gemini + LangChain + Sheets

🎥 Watch the Full Execution on YouTube

Workflow Description (in-depth):

This workflow automates the entire process of monitoring online reputation by scanning Reddit posts for negative sentiment about your company, filtering only the relevant criticism, and logging it directly into Google Sheets for easy tracking.

🔑 Key Features:

Automated Triggering: Runs on a schedule so you never miss new discussions about your brand.
Smart Data Fetching: Uses Reddit API to pull the latest posts matching your chosen keywords (e.g., “Notion”).
Post Processing: Breaks down bulk Reddit responses into individual posts for analysis.
AI-Powered Filtering: A custom-built AI agent reviews the content and extracts only genuine negative PR (complaints, bad experiences, harmful mentions). Neutral or positive posts are ignored.
Structured Parsing: AI responses are enforced into a clean JSON schema (ID, Title, URL, NegativeContent).... ensuring compatibility with downstream nodes.
Noise Reduction: A code node ensures only posts with meaningful content are passed forward.
Centralized Logging: Captures critical information (post title, negative excerpt, URL, ID) into Google Sheets.... giving teams a live dashboard of issues to address.
Customizable & Scalable: Swap out “Notion” for your own brand, or expand to other platforms.... the flow adapts without extra overhead.

🚀 Why This Matters:

In 2025, a single Reddit thread can shape brand reputation overnight. Manually monitoring is inefficient, and traditional social listening tools generate too much noise. This workflow gives you a lean, automated, AI-powered system to stay ahead of potential PR risks.

🛠️ Tech Stack:

n8n for automation
Reddit API for data fetching
LangChain AI Agent + Google Vertex Model for sentiment & context analysis
Google Sheets for reporting & tracking

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 1 - Schedule Trigger1

Type / Role: n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices: Version 1.2

Block 2 - Extract Post Metadata1

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 3 - Seperate array into individual posts1

Type / Role: n8n-nodes-base.splitOut - splitOut
Config choices: Version 1

Block 4 - Append to Google Sheets

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 5 - Code

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 6 - Look for Latest posts

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 7 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2.1

Block 8 - Google Vertex Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleVertex - lmChatGoogleVertex
Config choices: Version 1

Block 9 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.3

Block 10 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Monitor brand reputation for negative PR on Reddit with Gemini + LangChain + Sheets
Complexity	intermediate
Nodes	10
Categories	AI Summarization, Multimodal AI
Author	iamvaar
Published	16 Aug 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/7473/7473.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.

Download workflow JSON Original n8n.io source AI Summarization workflows Multimodal AI workflows

Frequently asked questions

What does Monitor brand reputation for negative PR on Reddit with Gemini + LangChain + Sheets do?

Watch the Full Execution on YouTube Workflow Description (in depth): This workflow automates the entire process of monitoring online reputatio...

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 AI Summarization, Multimodal AI use case.

iamvaar

38 workflows

Nodes

n8n-nodes-base.scheduletrigger n8n-nodes-base.set n8n-nodes-base.splitout n8n-nodes-base.googlesheets n8n-nodes-base.code n8n-nodes-base.httprequest @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatgooglevertex

Complexity

intermediate

Published 16 Aug 2025

Likes 0

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Install path: /data/workflows/7473/7473.json

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Monitor brand reputation for negative PR on Reddit with Gemini + LangChain + Sheets

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

🎥 Watch the Full Execution on YouTube

Workflow Description (in-depth):

🔑 Key Features:

🚀 Why This Matters:

🛠️ Tech Stack:

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Schedule Trigger1

Block 2 - Extract Post Metadata1

Block 3 - Seperate array into individual posts1

Block 4 - Append to Google Sheets

Block 5 - Code

Block 6 - Look for Latest posts

Block 7 - AI Agent

Block 8 - Google Vertex Chat Model

Block 9 - Structured Output Parser

Block 10 - Sticky Note

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions