This n8n workflow automates comprehensive competitor research and reporting by leveraging AI agents, web scraping, and external data sources. Designed for marketing and business analysts, it begins with selecting a source company and identifying its competitors using Exa.ai’s neural similarity search. Each competitor is processed through a loop that gathers detailed profiles, funding data, news, product offerings, customer reviews, and online presence across Crunchbase, Wellfound, LinkedIn, and review sites. AI-driven agents fetch and analyze webpage content, while searches on SERPAPI identify relevant company profiles, news articles, and reviews. The collected insights are parsed, structured, and finally compiled into a detailed report inserted into a Notion database. This workflow is ideal for competitive analysis, market research, and strategic planning, providing real-time, well-rounded intelligence on competitors with minimal manual effort.
Automated Competitor Research and Reporting Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, @n8n/n8n-nodes-langchain.toolHttpRequest, httpRequest, limit, manualTrigger, notion, removeDuplicates, set, splitInBatches, splitOut, stickyNote, wait |
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