This workflow automates the collection and comparison of Google Analytics data for a website, focusing on key metrics like page views, engagement, and search results. It runs on a weekly schedule but also allows manual triggers for ad hoc analysis. The workflow extracts detailed data for the current and previous weeks, parses and simplifies this data, and then sends the summarized information to an AI service for analysis. The AI generates actionable SEO insights and competitive comparisons presented in markdown format, which are then saved into a Baserow database for record-keeping and further analysis.
The process begins with scheduled or manual triggers, followed by Google Analytics nodes fetching engagement metrics, search results, and geographic views. Custom JavaScript nodes parse and transform this data into URL-encoded JSON strings suitable for API input. The data is sent to an AI model that compares weekly performance, offers SEO suggestions, and creates markdown tables. Lastly, the insights are stored in Baserow for ongoing tracking.
This workflow is ideal for digital marketers, SEO professionals, or website managers who need regular, automated insights into their website’s performance and SEO effectiveness without manual data gathering and analysis.
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