Back to Catalog

Automated brand mentions tracker with GPT-4o, Google Sheets, and email

Daniel ShashkoDaniel Shashko
989 views
2/3/2026
Official Page

AI Rankings Monitor.png This workflow enables you to automate the daily monitoring of how an AI model (like ChatGPT) responds to specific queries relevant to your market. It identifies mentions of your brand and predefined competitors, logs detailed interactions in Google Sheets, and delivers a comprehensive email report.

Main Use Cases

  • Monitor how your brand is mentioned by AI in response to relevant user queries.
  • Track mentions of key competitors to understand AI's comparative positioning.
  • Gain insights into AI's current knowledge and portrayal of your brand and market landscape.
  • Automate daily intelligence gathering on AI-driven brand perception.

How it works

The workflow operates as a scheduled process, organized into these stages:

  1. Configuration & Scheduling
    • Triggers daily (or can be run manually).
    • Key variables are defined within the workflow: your brand name (e.g., "YourBrandName"), a list of queries to ask the AI, and a list of competitor names to track in responses.
  2. AI Querying
    • For each predefined query, the workflow sends a request to the OpenAI ChatGPT API (via an HTTP Request node).
  3. Response Analysis
    • Each AI response is processed by a Code node to:
      • Check if your brand name is mentioned (case-insensitive).
      • Identify if any of the listed competitors are mentioned (case-insensitive).
      • Extract the core AI response content (limited to 500 characters for brevity in logs/reports).
  4. Data Logging to Google Sheets
    • Detailed results for each query—including timestamp, date, the query itself, query index, your brand name, the AI's response, whether your brand was mentioned, and any errors—are appended to a specified Google Sheet.
  5. Email Report Generation
    • A comprehensive HTML email report is compiled. This report summarizes:
      • Total queries processed, number of times your brand was mentioned, total competitor mentions, and any errors encountered.
      • A summary of competitor mentions, listing each competitor and how many times they were mentioned.
      • A detailed table listing each query, whether your brand was mentioned, and which competitors (if any) were mentioned in the AI's response.
  6. Automated Reporting
    • The generated HTML email report is sent to specified recipients, providing a daily snapshot of AI interactions.

Summary Flow:

Schedule/Workflow Trigger → Initialize Brand, Queries, Competitors (in Code node) → For each Query: Query ChatGPT API → Process AI Response (Check for Brand & Competitor Mentions) → Log Results to Google Sheets → Generate Consolidated HTML Email Report → Send Email Notification

Benefits:

  • Fully automated daily monitoring of AI responses concerning your brand and competitors.
  • Provides objective insights into how AI models are representing your brand in user interactions.
  • Delivers actionable competitive intelligence by tracking competitor mentions.
  • Centralized logging in Google Sheets for historical analysis and trend spotting.
  • Easily customizable with your specific brand, queries, competitor list, and reporting recipients.

Automated Brand Mentions Tracker with Google Sheets and Email

This n8n workflow automates the process of tracking brand mentions, potentially from various sources, and then records them in a Google Sheet while also sending out email notifications. It provides a foundational structure for monitoring your brand's presence online.

What it does

This workflow is designed to be a starting point for a brand mention tracker. Here's a breakdown of its core components:

  1. Scheduled Trigger: The workflow is initiated on a schedule, allowing for regular checks for brand mentions.
  2. HTTP Request: It includes a generic HTTP Request node, which would typically be configured to fetch data from an API (e.g., a social media monitoring tool, news aggregator, or a custom search API) to find brand mentions.
  3. Code Node: A Code node is present, indicating that custom JavaScript logic can be applied to process, filter, or transform the data received from the HTTP request. This is where you might integrate AI models like GPT-4o for sentiment analysis or summarization, as hinted by the directory name.
  4. Google Sheets Integration: Processed brand mention data is then written to a Google Sheet, providing a centralized and organized record.
  5. Email Notification: An email notification is sent, likely to alert relevant stakeholders about new brand mentions or a summary of recent findings.
  6. Sticky Note: A sticky note is included, serving as a placeholder for additional notes or instructions within the workflow.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running instance of n8n.
  • Google Account: For Google Sheets integration. You'll need to configure Google Sheets credentials in n8n.
  • Email Service: Access to an SMTP server or an email service supported by n8n for sending emails. You'll need to configure email credentials.
  • API Access (Optional but likely): Depending on where you plan to track brand mentions, you might need API keys or access tokens for services like social media platforms, news APIs, or AI services (e.g., OpenAI for GPT-4o).

Setup/Usage

  1. Import the Workflow:
    • Copy the provided JSON code.
    • In your n8n instance, go to "Workflows" and click "New".
    • Click the "Import from JSON" button (usually a cloud icon with an arrow pointing down) and paste the JSON code.
  2. Configure Credentials:
    • Google Sheets: Locate the "Google Sheets" node and configure your Google Sheets credentials. You'll need to grant n8n access to your Google account.
    • Send Email: Locate the "Send Email" node and configure your email credentials (e.g., SMTP server details, username, password).
  3. Customize the HTTP Request:
    • Locate the "HTTP Request" node.
    • Configure the URL, headers, and any authentication required to fetch brand mention data from your chosen source.
  4. Customize the Code Node:
    • Open the "Code" node.
    • Add your custom JavaScript logic to process the data from the HTTP Request. This is where you would integrate an AI model like GPT-4o to analyze the mentions, extract key information, or perform sentiment analysis.
  5. Configure Google Sheets Output:
    • In the "Google Sheets" node, specify the Spreadsheet ID and Sheet Name where you want to record the brand mentions.
    • Map the data from the previous nodes to the columns in your Google Sheet.
  6. Configure Email Notifications:
    • In the "Send Email" node, specify the recipient's email address, subject, and the body of the email. You can use expressions to dynamically include details about the brand mentions.
  7. Set Schedule:
    • Locate the "Schedule Trigger" node.
    • Configure the desired interval for the workflow to run (e.g., every hour, daily).
  8. Activate the Workflow:
    • Once configured, activate the workflow to start tracking brand mentions automatically.

Related Templates

AI multi-agent executive team for entrepreneurs with Gemini, Perplexity and WhatsApp

This workflow is an AI-powered multi-agent system built for startup founders and small business owners who want to automate decision-making, accountability, research, and communication, all through WhatsApp. The “virtual executive team,” is designed to help small teams to work smarter. This workflow sends you market analysis, market and sales tips, It can also monitor what your competitors are doing using perplexity (Research agent) and help you stay a head, or make better decisions. And when you feeling stuck with your start-up accountability director is creative enough to break the barrier 🎯 Core Features 🧑‍💼 1. President (Super Agent) Acts as the main controller that coordinates all sub-agents. Routes messages, assigns tasks, and ensures workflow synchronization between the AI Directors. 📊 2. Sales & Marketing Director Uses SerpAPI to search for market opportunities, leads, and trends. Suggests marketing campaigns, keywords, or outreach ideas. Can analyze current engagement metrics to adjust content strategy. 🕵️‍♀️ 3. Business Research Director Powered by Perplexity AI for competitive and market analysis. Monitors competitor moves, social media engagement, and product changes. Provides concise insights to help the founder adapt and stay ahead. ⏰ 4. Accountability Director Keeps the founder and executive team on track. Sends motivational nudges, task reminders, and progress reports. Promotes consistency and discipline — key traits for early-stage success. 🗓️ 5. Executive Secretary Handles scheduling, email drafting, and reminders. Connects with Google Calendar, Gmail, and Sheets through OAuth. Automates follow-ups, meeting summaries, and notifications directly via WhatsApp. 💬 WhatsApp as the Main Interface Interact naturally with your AI team through WhatsApp Business API. All responses, updates, and summaries are delivered to your chat. Ideal for founders who want to manage operations on the go. ⚙️ How It Works Trigger: The workflow starts from a WhatsApp Trigger node (via Meta Developer Account). Routing: The President agent analyzes the incoming message and determines which Director should handle it. Processing: Marketing or sales queries go to the Sales & Marketing Director. Research questions are handled by the Business Research Director. Accountability tasks are assigned to the Accountability Director. Scheduling or communication requests are managed by the Secretary. Collaboration: Each sub-agent returns results to the President, who summarizes and sends the reply back via WhatsApp. Memory: Context is maintained between sessions, ensuring personalized and coherent communication. 🧩 Integrations Required Gemini API – for general intelligence and task reasoning Supabase- for RAG and postgres persistent memory Perplexity API – for business and competitor analysis SerpAPI – for market research and opportunity scouting Google OAuth – to connect Sheets, Calendar, and Gmail WhatsApp Business API – for message triggers and responses 🚀 Benefits Acts like a team of tireless employees available 24/7. Saves time by automating research, reminders, and communication. Enhances accountability and strategy consistency for founders. Keeps operations centralized in a simple WhatsApp interface. 🧰 Setup Steps Create API credentials for: WhatsApp (via Meta Developer Account) Gemini, Perplexity, and SerpAPI Google OAuth (Sheets, Calendar, Gmail) Create a supabase account at supabase Add the credentials in the corresponding n8n nodes. Customize the system prompts for each Director based on your startup’s needs. Activate and start interacting with your virtual executive team on WhatsApp. Use Case You are a small organisation or start-up that can not afford hiring; marketing department, research department and secretar office, then this workflow is for you 💡 Need Customization? Want to tailor it for your startup or integrate with CRM tools like Notion or HubSpot? You can easily extend the workflow or contact the creator for personalized support. Consider adjusting the system prompt to suite your business

ShadrackBy Shadrack
331

🎓 How to transform unstructured email data into structured format with AI agent

This workflow automates the process of extracting structured, usable information from unstructured email messages across multiple platforms. It connects directly to Gmail, Outlook, and IMAP accounts, retrieves incoming emails, and sends their content to an AI-powered parsing agent built on OpenAI GPT models. The AI agent analyzes each email, identifies relevant details, and returns a clean JSON structure containing key fields: From – sender’s email address To – recipient’s email address Subject – email subject line Summary – short AI-generated summary of the email body The extracted information is then automatically inserted into an n8n Data Table, creating a structured database of email metadata and summaries ready for indexing, reporting, or integration with other tools. --- Key Benefits ✅ Full Automation: Eliminates manual reading and data entry from incoming emails. ✅ Multi-Source Integration: Handles data from different email providers seamlessly. ✅ AI-Driven Accuracy: Uses advanced language models to interpret complex or unformatted content. ✅ Structured Storage: Creates a standardized, query-ready dataset from previously unstructured text. ✅ Time Efficiency: Processes emails in real time, improving productivity and response speed. *✅ Scalability: Easily extendable to handle additional sources or extract more data fields. --- How it works This workflow automates the transformation of unstructured email data into a structured, queryable format. It operates through a series of connected steps: Email Triggering: The workflow is initiated by one of three different email triggers (Gmail, Microsoft Outlook, or a generic IMAP account), which constantly monitor for new incoming emails. AI-Powered Parsing & Structuring: When a new email is detected, its raw, unstructured content is passed to a central "Parsing Agent." This agent uses a specified OpenAI language model to intelligently analyze the email text. Data Extraction & Standardization: Following a predefined system prompt, the AI agent extracts key information from the email, such as the sender, recipient, subject, and a generated summary. It then forces the output into a strict JSON structure using a "Structured Output Parser" node, ensuring data consistency. Data Storage: Finally, the clean, structured data (the from, to, subject, and summarize fields) is inserted as a new row into a specified n8n Data Table, creating a searchable and reportable database of email information. --- Set up steps To implement this workflow, follow these configuration steps: Prepare the Data Table: Create a new Data Table within n8n. Define the columns with the following names and string type: From, To, Subject, and Summary. Configure Email Credentials: Set up the credential connections for the email services you wish to use (Gmail OAuth2, Microsoft Outlook OAuth2, and/or IMAP). Ensure the accounts have the necessary permissions to read emails. Configure AI Model Credentials: Set up the OpenAI API credential with a valid API key. The workflow is configured to use the model, but this can be changed in the respective nodes if needed. Connect the Nodes: The workflow canvas is already correctly wired. Visually confirm that the email triggers are connected to the "Parsing Agent," which is connected to the "Insert row" (Data Table) node. Also, ensure the "OpenAI Chat Model" and "Structured Output Parser" are connected to the "Parsing Agent" as its AI model and output parser, respectively. Activate the Workflow: Save the workflow and toggle the "Active" switch to ON. The triggers will begin polling for new emails according to their schedule (e.g., every minute), and the automation will start processing incoming messages. --- Need help customizing? Contact me for consulting and support or add me on Linkedin.

DavideBy Davide
1616

Send WooCommerce discount coupons to customers via WhatsApp using Rapiwa API

Who is this for? This workflow is ideal for WooCommerce store owners who want to automatically send promotional WhatsApp messages to their customers when new coupons are created. It’s designed for marketers and eCommerce managers looking to boost engagement, streamline coupon sharing, and track campaign performance effortlessly through Google Sheets. Overview This workflow listens for WooCommerce coupon creation events (coupon.created) and uses customer billing data to send promotional WhatsApp messages via the Rapiwa API. The flow formats the coupon data, cleans phone numbers, verifies WhatsApp registration with Rapiwa, sends the promotional message when verified, and logs each attempt to Google Sheets (separate sheets for verified/sent and unverified/not sent). What this Workflow Does Listens for new coupon creation events in WooCommerce via the WooCommerce Trigger node Retrieves all customer data from the WooCommerce store Processes customers in batches to control throughput Cleans and formats customer phone numbers for WhatsApp Verifies if phone numbers are valid WhatsApp accounts using Rapiwa API Sends personalized WhatsApp messages with coupon details to verified numbers Logs all activities to Google Sheets for tracking and analysis Handles both verified and unverified numbers appropriately Key Features Automated coupon distribution: Triggers when new coupons are created in WooCommerce Customer data retrieval: Fetches all customer information from WooCommerce Phone number validation: Verifies WhatsApp numbers before sending messages Personalized messaging: Includes customer name and coupon details in messages Dual logging system: Tracks both successful and failed message attempts Rate limiting: Uses batching and wait nodes to prevent API overload Data formatting: Structures coupon information for consistent messaging Google Sheet Column Structure A Google Sheet formatted like this ➤ sample The workflow uses a Google Sheet with the following columns to track coupon distribution: | name | number | email | address1 | couponCode | couponTitle | couponType | couponAmount | createDate | expireDate | validity | status | | ----------- | ------------- | --------------------------------------------------- | --------- | ---------- | -------------- | ---------- | ------------ | ------------------- | ------------------- | ---------- | -------- | | Abdul Mannan | 8801322827799 | contact@spagreen.net | mirpur-DOHS | 62dhryst | eid offer 2025 | percent | 20.00 | 2025-09-11 06:08:02 | 2025-09-15 00:00:00 | unverified | not sent | | Abdul Mannan | 8801322827799 | contact@spagreen.net | mirpur-DOHS | 62dhryst | eid offer 2025 | percent | 20.00 | 2025-09-11 06:08:02 | 2025-09-15 00:00:00 | verified | sent | Requirements n8n instance with the following nodes: WooCommerce Trigger, Code, SplitInBatches, HTTP Request, IF, Google Sheets, Wait WooCommerce store with API access Rapiwa account with API access for WhatsApp verification and messaging Google account with Sheets access Customer phone numbers in WooCommerce (stored in billing.phone field) Important Notes Phone Number Format: The workflow cleans phone numbers by removing all non-digit characters. Ensure your WooCommerce phone numbers are in a compatible format. API Rate Limits: Rapiwa and WooCommerce APIs have rate limits. Adjust batch sizes and wait times accordingly. Data Privacy: Ensure compliance with data protection regulations when sending marketing messages. Error Handling: The workflow logs unverified numbers but doesn't have extensive error handling. Consider adding error notifications for failed API calls. Message Content: The current message template references the first coupon only (coupons[0]). Adjust if you need to handle multiple coupons. Useful Links Dashboard: https://app.rapiwa.com Official Website: https://rapiwa.com Documentation: https://docs.rapiwa.com Support & Help WhatsApp: Chat on WhatsApp Discord: SpaGreen Community Facebook Group: SpaGreen Support Website: https://spagreen.net Developer Portfolio: Codecanyon SpaGreen

RapiwaBy Rapiwa
110