Automate Google Business reviews with AI responses, Slack alerts & sheets logging
How it works
This workflow automatically monitors your Google Business Profile for new reviews and uses AI to generate personalized response suggestions. When a review is detected, the system formats the review data, generates an appropriate AI response based on the rating and content, sends differentiated Slack notifications (urgent alerts for negative reviews, celebration messages for positive ones), and logs everything to Google Sheets for tracking and analysis.
Who is this for
Local business owners, restaurant managers, retail store operators, service providers, and reputation management teams who want to stay on top of customer feedback and respond promptly with thoughtful, AI-generated responses. Perfect for businesses that receive regular reviews and want to maintain consistent, professional customer engagement without manually monitoring multiple platforms.
Requirements
- Google Business Profile: Active business profile with review monitoring enabled
- Google API Credentials: Service account with access to Business Profile API and Sheets API
- Slack Webhook: Incoming webhook URL for team notifications
- Google Sheets: Spreadsheet with "Reviews" sheet for logging review data
- Environment Variables: Setup for secure credential storage
- Basic n8n Knowledge: Understanding of triggers, expressions, and credential management
How to set up
- Configure Google Business Profile API - Create Google Cloud project, enable Business Profile API, set up service account credentials, and add your Business Account ID and Location ID to environment variables
- Prepare Google Sheets Integration - Create Google Sheet with "Reviews" sheet, add required headers, set GOOGLE_SHEET_ID environment variable, and ensure service account has edit access
- Setup Slack Notifications - Create Slack webhook in your workspace and set SLACK_WEBHOOK_URL environment variable
- Customize Business Settings - Update Business Configuration node with your business name and adjust AI response tone preferences
How to customize the workflow
Modify the Business Configuration node to change your business name, adjust the AI response tone (professional, friendly, casual), customize Slack notification messages in the HTTP Request nodes, or add additional review sources by duplicating the trigger structure.
Automate Google Business Reviews with AI Responses, Slack Alerts, and Google Sheets Logging
This n8n workflow automates the process of managing new Google Business Profile reviews. It leverages AI to generate human-like responses, sends real-time alerts to Slack, and logs all review details into a Google Sheet for comprehensive tracking.
What it does
This workflow simplifies and enhances your Google Business Profile review management by:
- Monitoring New Reviews: Automatically triggers upon the arrival of a new review on your Google Business Profile.
- Generating AI Responses: Uses an AI model to craft a personalized response to each new review.
- Sending Slack Alerts: Notifies a designated Slack channel with details of the new review and the AI-generated response.
- Logging to Google Sheets: Records all relevant review information (reviewer, rating, comment, AI response, etc.) into a Google Sheet for historical tracking and analysis.
Prerequisites/Requirements
To use this workflow, you will need:
- Google Business Profile Account: With access to manage reviews.
- Google Business Profile Trigger Credential: Configured in n8n to connect to your Google Business Profile.
- OpenAI API Key: For the AI Transform node to generate responses.
- Slack Account: To receive alerts.
- Slack Credential: Configured in n8n to post messages to your Slack workspace.
- Google Sheets Account: To log review data.
- Google Sheets Credential: Configured in n8n to write to your Google Sheet.
- A Google Sheet: With appropriate columns set up to receive the review data (e.g., Reviewer Name, Rating, Comment, AI Response, Timestamp).
Setup/Usage
- Import the Workflow: Download the provided JSON and import it into your n8n instance.
- Configure Credentials:
- Set up your Google Business Profile Trigger credential.
- Set up your OpenAI credential for the AI Transform node.
- Set up your Slack credential.
- Set up your Google Sheets credential.
- Configure Nodes:
- Google Business Profile Trigger: Select the specific Google Business Profile location you want to monitor.
- AI Transform: Review and adjust the AI prompt to ensure the generated responses align with your brand's tone and style.
- HTTP Request (Slack): Update the Slack webhook URL or configure the Slack node with your desired channel and message format.
- Google Sheets: Specify the Spreadsheet ID and Sheet Name where you want the review data to be logged. Ensure the column headers in your Google Sheet match the data being sent by the workflow.
- Activate the Workflow: Once configured, activate the workflow in n8n. It will now automatically process new Google Business Profile reviews.
Related Templates
Track competitor SEO keywords with Decodo + GPT-4.1-mini + Google Sheets
This workflow automates competitor keyword research using OpenAI LLM and Decodo for intelligent web scraping. Who this is for SEO specialists, content strategists, and growth marketers who want to automate keyword research and competitive intelligence. Marketing analysts managing multiple clients or websites who need consistent SEO tracking without manual data pulls. Agencies or automation engineers using Google Sheets as an SEO data dashboard for keyword monitoring and reporting. What problem this workflow solves Tracking competitor keywords manually is slow and inconsistent. Most SEO tools provide limited API access or lack contextual keyword analysis. This workflow solves that by: Automatically scraping any competitor’s webpage with Decodo. Using OpenAI GPT-4.1-mini to interpret keyword intent, density, and semantic focus. Storing structured keyword insights directly in Google Sheets for ongoing tracking and trend analysis. What this workflow does Trigger — Manually start the workflow or schedule it to run periodically. Input Setup — Define the website URL and target country (e.g., https://dev.to, france). Data Scraping (Decodo) — Fetch competitor web content and metadata. Keyword Analysis (OpenAI GPT-4.1-mini) Extract primary and secondary keywords. Identify focus topics and semantic entities. Generate a keyword density summary and SEO strength score. Recommend optimization and internal linking opportunities. Data Structuring — Clean and convert GPT output into JSON format. Data Storage (Google Sheets) — Append structured keyword data to a Google Sheet for long-term tracking. Setup Prerequisites If you are new to Decode, please signup on this link visit.decodo.com n8n account with workflow editor access Decodo API credentials OpenAI API key Google Sheets account connected via OAuth2 Make sure to install the Decodo Community node. Create a Google Sheet Add columns for: primarykeywords, seostrengthscore, keyworddensity_summary, etc. Share with your n8n Google account. Connect Credentials Add credentials for: Decodo API credentials - You need to register, login and obtain the Basic Authentication Token via Decodo Dashboard OpenAI API (for GPT-4o-mini) Google Sheets OAuth2 Configure Input Fields Edit the “Set Input Fields” node to set your target site and region. Run the Workflow Click Execute Workflow in n8n. View structured results in your connected Google Sheet. How to customize this workflow Track Multiple Competitors → Use a Google Sheet or CSV list of URLs; loop through them using the Split In Batches node. Add Language Detection → Add a Gemini or GPT node before keyword analysis to detect content language and adjust prompts. Enhance the SEO Report → Expand the GPT prompt to include backlink insights, metadata optimization, or readability checks. Integrate Visualization → Connect your Google Sheet to Looker Studio for SEO performance dashboards. Schedule Auto-Runs → Use the Cron Node to run weekly or monthly for competitor keyword refreshes. Summary This workflow automates competitor keyword research using: Decodo for intelligent web scraping OpenAI GPT-4.1-mini for keyword and SEO analysis Google Sheets for live tracking and reporting It’s a complete AI-powered SEO intelligence pipeline ideal for teams that want actionable insights on keyword gaps, optimization opportunities, and content focus trends, without relying on expensive SEO SaaS tools.
Generate song lyrics and music from text prompts using OpenAI and Fal.ai Minimax
Spark your creativity instantly in any chat—turn a simple prompt like "heartbreak ballad" into original, full-length lyrics and a professional AI-generated music track, all without leaving your conversation. 📋 What This Template Does This chat-triggered workflow harnesses AI to generate detailed, genre-matched song lyrics (at least 600 characters) from user messages, then queues them for music synthesis via Fal.ai's minimax-music model. It polls asynchronously until the track is ready, delivering lyrics and audio URL back in chat. Crafts original, structured lyrics with verses, choruses, and bridges using OpenAI Submits to Fal.ai for melody, instrumentation, and vocals aligned to the style Handles long-running generations with smart looping and status checks Returns complete song package (lyrics + audio link) for seamless sharing 🔧 Prerequisites n8n account (self-hosted or cloud with chat integration enabled) OpenAI account with API access for GPT models Fal.ai account for AI music generation 🔑 Required Credentials OpenAI API Setup Go to platform.openai.com → API keys (sidebar) Click "Create new secret key" → Name it (e.g., "n8n Songwriter") Copy the key and add to n8n as "OpenAI API" credential type Test by sending a simple chat completion request Fal.ai HTTP Header Auth Setup Sign up at fal.ai → Dashboard → API Keys Generate a new API key → Copy it In n8n, create "HTTP Header Auth" credential: Name="Fal.ai", Header Name="Authorization", Header Value="Key [Your API Key]" Test with a simple GET to their queue endpoint (e.g., /status) ⚙️ Configuration Steps Import the workflow JSON into your n8n instance Assign OpenAI API credentials to the "OpenAI Chat Model" node Assign Fal.ai HTTP Header Auth to the "Generate Music Track", "Check Generation Status", and "Fetch Final Result" nodes Activate the workflow—chat trigger will appear in your n8n chat interface Test by messaging: "Create an upbeat pop song about road trips" 🎯 Use Cases Content Creators: YouTubers generating custom jingles for videos on the fly, streamlining production from idea to audio export Educators: Music teachers using chat prompts to create era-specific folk tunes for classroom discussions, fostering interactive learning Gift Personalization: Friends crafting anniversary R&B tracks from shared memories via quick chats, delivering emotional audio surprises Artist Brainstorming: Songwriters prototyping hip-hop beats in real-time during sessions, accelerating collaboration and iteration ⚠️ Troubleshooting Invalid JSON from AI Agent: Ensure the system prompt stresses valid JSON; test the agent standalone with a sample query Music Generation Fails (401/403): Verify Fal.ai API key has minimax-music access; check usage quotas in dashboard Status Polling Loops Indefinitely: Bump wait time to 45-60s for complex tracks; inspect fal.ai queue logs for bottlenecks Lyrics Under 600 Characters: Tweak agent prompt to enforce fuller structures like [V1][C][V2][B][C]; verify output length in executions
Auto-reply & create Linear tickets from Gmail with GPT-5, gotoHuman & human review
This workflow automatically classifies every new email from your linked mailbox, drafts a personalized reply, and creates Linear tickets for bugs or feature requests. It uses a human-in-the-loop with gotoHuman and continuously improves itself by learning from approved examples. How it works The workflow triggers on every new email from your linked mailbox. Self-learning Email Classifier: an AI model categorizes the email into defined categories (e.g., Bug Report, Feature Request, Sales Opportunity, etc.). It fetches previously approved classification examples from gotoHuman to refine decisions. Self-learning Email Writer: the AI drafts a reply to the email. It learns over time by using previously approved replies from gotoHuman, with per-classification context to tailor tone and style (e.g., different style for sales vs. bug reports). Human Review in gotoHuman: review the classification and the drafted reply. Drafts can be edited or retried. Approved values are used to train the self-learning agents. Send approved Reply: the approved response is sent as a reply to the email thread. Create ticket: if the classification is Bug or Feature Request, a ticket is created by another AI agent in Linear. Human Review in gotoHuman: How to set up Most importantly, install the gotoHuman node before importing this template! (Just add the node to a blank canvas before importing) Set up credentials for gotoHuman, OpenAI, your email provider (e.g. Gmail), and Linear. In gotoHuman, select and create the pre-built review template "Support email agent" or import the ID: 6fzuCJlFYJtlu9mGYcVT. Select this template in the gotoHuman node. In the "gotoHuman: Fetch approved examples" http nodes you need to add your formId. It is the ID of the review template that you just created/imported in gotoHuman. Requirements gotoHuman (human supervision, memory for self-learning) OpenAI (classification, drafting) Gmail or your preferred email provider (for email trigger+replies) Linear (ticketing) How to customize Expand or refine the categories used by the classifier. Update the prompt to reflect your own taxonomy. Filter fetched training data from gotoHuman by reviewer so the writer adapts to their personalized tone and preferences. Add more context to the AI email writer (calendar events, FAQs, product docs) to improve reply quality.