Block 1 - Google Gemini Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
AI Testimonial Extractor Agent: Feedback to Marketing Gold Subtitle: Feedback to Marketing Gold Overview This workflow transforms raw customer feedback from Google Forms into short, emotionally ...
@n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.googlesheetstrigger, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.googlesheets, n8n-nodes-base.gmail, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Yaron Been.
Original n8n.io sourceSubtitle: Feedback to Marketing Gold
This workflow transforms raw customer feedback from Google Forms into short, emotionally engaging testimonials using Google Gemini. It then saves the testimonial back into Google Sheets and notifies the marketing team via email.
Think of it as your automatic testimonial assistant.
π Node: New Form Response Trigger (Google Sheets Trigger)
π‘ Why useful? No manual copy-pasting β the process kicks off instantly.
π© Example: Someone fills in:
> βThe product made my workflow so much easier β I finished tasks in half the time!β
π Nodes:
Extract Testimonial with Gemini β Uses Google Gemini Flash to rephrase the raw feedback into a concise testimonial.Google Gemini Chat Model β Supports the LLM chain.π§ Prompt Logic:
π‘ Why useful? Raw feedback is often long or messy β Gemini cleans it up into a marketing-ready quote.
π© Example output:
> βThis tool cut my work time in half and boosted my productivity instantly!β
π Node: Save Extracted Testimonial (Google Sheets)
Saves the following data into the sheet:
π‘ Why useful? Keeps an organized log of all testimonials in one place.
π Node: Notify Marketing Team (Gmail)
New Testimonial Extractedπ‘ Why useful? Your team gets notified in real time β no need to keep checking the sheet.
| Section | Node(s) | Purpose | Benefit |
|---|---|---|---|
| π’ Trigger | Google Sheets Trigger | Detects new form submissions | Fully automated start |
| π¦ AI Extraction | Gemini LLM Chain | Turns raw feedback β testimonial | Marketing-ready content |
| π£ Save | Google Sheets | Logs testimonial + user info | Organized central database |
| π‘ Notify | Gmail | Emails marketing team | Real-time updates |
β‘ Bonus: You already added Sticky Notes inside the workflow β makes it beginner-friendly for anyone opening it in n8n.
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.
| Workflow | AI testimonial extractor agent: feedback to marketing gold |
|---|---|
| Complexity | intermediate |
| Nodes | 11 |
| Categories | Content Creation, AI Summarization |
| Author | Yaron Been |
| Published | 28 May 2025 |
Use the JSON export at /data/workflows/4449/4449.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
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.
AI Testimonial Extractor Agent: Feedback to Marketing Gold Subtitle: Feedback to Marketing Gold Overview This workflow transforms raw customer feedback from Google Forms into short, emotionally ...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
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 Content Creation, AI Summarization use case.