SERPBear Analytics Template
This workflow regularly retrieves website keyword ranking data from the SERPBear platform, automatically parses it, and generates a summary of keyword performance. The data is then sent to an AI model for in-depth analysis, and the results are finally saved to a Baserow database. The purpose is to help website operators and SEO practitioners efficiently monitor changes in keyword rankings, identify well-performing and under-optimized keywords, thereby enhancing the scientific accuracy of SEO decision-making and reducing the workload of manual analysis.
Workflow Name
SERPBear Analytics Template
Key Features and Highlights
This workflow periodically retrieves website keyword ranking data from the SERPBear platform, automatically parses and generates keyword ranking performance summaries, then sends the data to an AI model for in-depth analysis. Finally, the analysis results are saved to a Baserow database. Through this automated process, users can obtain professional SEO ranking insights and optimization recommendations without writing any code.
Core Problems Addressed
Helps website operators and SEO professionals efficiently monitor keyword ranking changes, identify well-performing and under-optimized keywords, and overcomes the challenges of traditional manual analysis such as high workload, low efficiency, and high expertise requirements. This enhances the scientific rigor and accuracy of SEO decision-making.
Use Cases
- SEO teams regularly monitoring website keyword ranking trends
- Digital marketers automatically obtaining SEO data analysis reports
- Website administrators centralizing ranking data and AI-generated recommendations for management
- Scenarios requiring integration of SEO data with other business datasets
Main Workflow Steps
- Trigger the workflow periodically via a Schedule Trigger
- Call the SERPBear API to fetch keyword ranking data for the specified website
- Use a code node to parse the keyword data, calculating current rankings, 7-day average rankings, and ranking trends
- Construct the parsed data into an analysis prompt and send it to the AI service (OpenRouter’s Meta LLaMA model)
- Receive SEO analysis and optimization suggestions from the AI
- Store the AI analysis results in the Baserow database for easy querying and management
Additionally, the workflow supports manual triggering via the “Test workflow” button for instant testing and result viewing.
Involved Systems or Services
- SERPBear (keyword ranking data source)
- OpenRouter AI (Meta LLaMA model for SEO data analysis)
- Baserow (online database for storing analysis results)
- n8n Automation Platform (workflow orchestration and execution)
Target Users and Value
- SEO experts and digital marketers: Automate keyword ranking retrieval and analysis to improve work efficiency
- Website operation teams: Scientifically monitor SEO performance and develop data-driven optimization strategies
- Data analysts: Leverage AI analysis results to support precise marketing plans
- Any users seeking no-code solutions for automated SEO data monitoring and intelligent analysis
This workflow provides users with a comprehensive automated SEO keyword ranking analysis solution, significantly lowering technical barriers while enhancing the professionalism and timeliness of decision-making.