This n8n workflow automates the process of tracking Google search engine results pages (SERPs), extracting relevant data, analyzing trends, and generating actionable recommendations using advanced AI models. It begins with a manual trigger to initiate the process, setting input parameters for the search URL, webhook notification URL, search query, and zone. These inputs are used to perform a web request via Bright Data’s proxy network, retrieving raw SERP data.
The workflow employs Google’s Gemini language models to extract structured information from the search results, such as ranking, titles, URLs, snippets, and result types (organic, ads, map). It further analyzes this data to identify trending topics and generate strategic recommendations based on the search snippets and titles.
Specialized output parsers ensure data structures comply with defined schemas, converting insights into JSON formats suitable for reporting. The results—both trending data and recommendations—are saved as CSV files on disk. This automation is highly valuable for SEO monitoring, competitor analysis, marketing strategy, and product development insights, providing a streamlined way to track search performance and trends with AI-enhanced analysis.
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