This n8n workflow automates the process of retrieving SEO ranking data, analyzing it with AI, and storing the insights for ongoing monitoring. Starting with a scheduled trigger, it fetches keyword ranking data from SerpBear for a specified website. The data is then parsed to calculate current rankings, weekly averages, and trends for each keyword. Next, the information is sent to an AI model, which summarizes and provides actionable SEO suggestions. The final step involves saving the summarized data along with the date into a Baserow database, enabling continuous tracking and analysis. This workflow is ideal for digital marketers and SEO professionals looking to automate their ranking audits and insights without manual effort, ensuring timely decision-making to improve website performance.
Automated SEO Ranking Analysis and Reporting Workflow
| Node Count | 6 – 10 Nodes |
|---|---|
| Nodes Used | baserow, code, httpRequest, manualTrigger, scheduleTrigger, stickyNote |
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