Track SEO keyword rankings with Bright Data MCP and GPT-5.2 AI analysis
This workflow contains community nodes that are only compatible with the self-hosted version of n8n.
This workflow automatically monitors keyword rankings across search engines to track SEO performance and identify optimization opportunities. It saves you time by eliminating the need to manually check keyword positions and provides comprehensive ranking data for strategic SEO decision making.
Overview
This workflow automatically scrapes search engine results pages (SERPs) to track keyword rankings, competitor positions, and search features. It uses Bright Data to access search results without restrictions and AI to intelligently parse ranking data, track changes, and identify SEO opportunities.
Tools Used
- n8n: The automation platform that orchestrates the workflow
- Bright Data: For scraping search engine results without being blocked
- OpenAI: AI agent for intelligent ranking analysis and SEO insights
- Google Sheets: For storing keyword ranking data and tracking changes
How to Install
- Import the Workflow: Download the .json file and import it into your n8n instance
- Configure Bright Data: Add your Bright Data credentials to the MCP Client node
- Set Up OpenAI: Configure your OpenAI API credentials
- Configure Google Sheets: Connect your Google Sheets account and set up your ranking tracking spreadsheet
- Customize: Define target keywords and ranking monitoring parameters
Use Cases
- SEO Teams: Track keyword performance and identify ranking improvements
- Content Marketing: Monitor content ranking success and optimization needs
- Competitive Analysis: Track competitor keyword rankings and strategies
- Digital Marketing: Measure organic search performance and ROI
Connect with Me
- Website: https://www.nofluff.online
- YouTube: https://www.youtube.com/@YaronBeen/videos
- LinkedIn: https://www.linkedin.com/in/yaronbeen/
- Get Bright Data: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission)
#n8n #automation #keywordrankings #seo #searchrankings #brightdata #webscraping #seotools #n8nworkflow #workflow #nocode #ranktracking #keywordmonitoring #seoautomation #searchmarketing #organicseo #seoresearch #rankinganalysis #keywordanalysis #searchengines #seomonitoring #digitalmarketing #serp #keywordtracking #seoanalytics #searchoptimization #rankingreports #keywordresearch #seoinsights #searchperformance
Track SEO Keyword Rankings with Bright Data, MCP, and GPT-52 AI Analysis
This n8n workflow automates the process of tracking SEO keyword rankings, enriching the data with Bright Data, and performing AI-driven analysis using an OpenAI Chat Model. It simplifies the collection, processing, and interpretation of SEO performance metrics.
What it does
- Schedules Execution: The workflow is triggered on a predefined schedule (e.g., daily, weekly) to initiate the ranking check.
- Reads Keywords from Google Sheets: It fetches a list of keywords from a specified Google Sheet, providing the input for the ranking analysis.
- Prepares Data: The workflow then processes the retrieved data, likely transforming it into a format suitable for the subsequent API calls.
- Performs AI Analysis: An AI Agent, powered by an OpenAI Chat Model, is used to analyze the keyword data. This likely involves interpreting ranking changes, identifying trends, or generating insights.
- Parses AI Output: The AI's output is then parsed using a Structured Output Parser, optionally with an Auto-fixing Output Parser to ensure data consistency and correct formatting. This step extracts structured information from the AI's natural language responses.
Prerequisites/Requirements
- n8n Instance: A running n8n instance to host and execute the workflow.
- Google Sheets Account: To store and retrieve the list of keywords.
- OpenAI API Key: For the OpenAI Chat Model to perform AI analysis.
- Bright Data Account (Implied by directory name, not explicitly in JSON): While not directly visible in the provided JSON, the directory name suggests integration with Bright Data for data collection (e.g., SERP scraping). You would likely need a Bright Data account and associated credentials if that functionality were to be added or enabled.
- MCP (Implied by directory name, not explicitly in JSON): Similar to Bright Data, the directory name suggests "MCP" which could refer to a specific platform or service. If this is a required integration, you would need an account and credentials for it.
Setup/Usage
- Import the Workflow: Download the provided JSON and import it into your n8n instance.
- Configure Credentials:
- Google Sheets: Set up your Google Sheets credential to allow n8n to read data from your spreadsheet.
- OpenAI: Configure your OpenAI credential with your API key.
- Specify Google Sheet: In the "Google Sheets" node, select the spreadsheet and sheet containing your keywords. Ensure the sheet has a column with the keywords you want to track.
- Configure Schedule: Adjust the "Schedule Trigger" node to your desired frequency for running the ranking checks.
- Customize AI Agent (Optional): If needed, modify the "AI Agent" and "OpenAI Chat Model" nodes to refine the AI's prompt or model parameters for more specific analysis.
- Activate the Workflow: Once configured, activate the workflow to start tracking your SEO keyword rankings automatically.
Related Templates
Automate Dutch Public Procurement Data Collection with TenderNed
TenderNed Public Procurement What This Workflow Does This workflow automates the collection of public procurement data from TenderNed (the official Dutch tender platform). It: Fetches the latest tender publications from the TenderNed API Retrieves detailed information in both XML and JSON formats for each tender Parses and extracts key information like organization names, titles, descriptions, and reference numbers Filters results based on your custom criteria Stores the data in a database for easy querying and analysis Setup Instructions This template comes with sticky notes providing step-by-step instructions in Dutch and various query options you can customize. Prerequisites TenderNed API Access - Register at TenderNed for API credentials Configuration Steps Set up TenderNed credentials: Add HTTP Basic Auth credentials with your TenderNed API username and password Apply these credentials to the three HTTP Request nodes: "Tenderned Publicaties" "Haal XML Details" "Haal JSON Details" Customize filters: Modify the "Filter op ..." node to match your specific requirements Examples: specific organizations, contract values, regions, etc. How It Works Step 1: Trigger The workflow can be triggered either manually for testing or automatically on a daily schedule. Step 2: Fetch Publications Makes an API call to TenderNed to retrieve a list of recent publications (up to 100 per request). Step 3: Process & Split Extracts the tender array from the response and splits it into individual items for processing. Step 4: Fetch Details For each tender, the workflow makes two parallel API calls: XML endpoint - Retrieves the complete tender documentation in XML format JSON endpoint - Fetches metadata including reference numbers and keywords Step 5: Parse & Merge Parses the XML data and merges it with the JSON metadata and batch information into a single data structure. Step 6: Extract Fields Maps the raw API data to clean, structured fields including: Publication ID and date Organization name Tender title and description Reference numbers (kenmerk, TED number) Step 7: Filter Applies your custom filter criteria to focus on relevant tenders only. Step 8: Store Inserts the processed data into your database for storage and future analysis. Customization Tips Modify API Parameters In the "Tenderned Publicaties" node, you can adjust: offset: Starting position for pagination size: Number of results per request (max 100) Add query parameters for date ranges, status filters, etc. Add More Fields Extend the "Splits Alle Velden" node to extract additional fields from the XML/JSON data, such as: Contract value estimates Deadline dates CPV codes (procurement classification) Contact information Integrate Notifications Add a Slack, Email, or Discord node after the filter to get notified about new matching tenders. Incremental Updates Modify the workflow to only fetch new tenders by: Storing the last execution timestamp Adding date filters to the API query Only processing publications newer than the last run Troubleshooting No data returned? Verify your TenderNed API credentials are correct Check that you have setup youre filter proper Need help setting this up or interested in a complete tender analysis solution? Get in touch π LinkedIn β Wessel Bulte
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 βvirtual executive team,β 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 π― Core Features π§βπΌ 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. π 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. π΅οΈββοΈ 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. β° 4. Accountability Director Keeps the founder and executive team on track. Sends motivational nudges, task reminders, and progress reports. Promotes consistency and discipline β key traits for early-stage success. ποΈ 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. π¬ 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. βοΈ 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. π§© Integrations Required Gemini API β for general intelligence and task reasoning Supabase- for RAG and postgres persistent memory Perplexity API β for business and competitor analysis SerpAPI β for market research and opportunity scouting Google OAuth β to connect Sheets, Calendar, and Gmail WhatsApp Business API β for message triggers and responses π 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. π§° 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 startupβs 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 π‘ 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
π 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 β senderβs email address To β recipientβs email address Subject β email subject line Summary β 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 β Full Automation: Eliminates manual reading and data entry from incoming emails. β Multi-Source Integration: Handles data from different email providers seamlessly. β AI-Driven Accuracy: Uses advanced language models to interpret complex or unformatted content. β Structured Storage: Creates a standardized, query-ready dataset from previously unstructured text. β Time Efficiency: Processes emails in real time, improving productivity and response speed. *β 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.