Automated Keyword and Question Research for Audience Insights

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This n8n workflow automates the process of generating and storing relevant keywords and questions based on a defined customer profile. The goal is to support market and customer research by identifying search intent, keyword relevance, and common queries with minimal manual effort. When executed, the workflow begins with a manual trigger, allowing users to input specific customer data such as demographics and preferences. It then uses OpenAI’s language model to fetch relevant keywords and questions related to the target audience. These insights are enriched with SEO data retrieved via seo-mcp from Ahrefs’ tooling, providing metrics like search volume and difficulty. The results are systematically stored in a Google Sheets document for easy analysis. This workflow is ideal for digital marketers, SEO specialists, and content creators aiming to quickly gather actionable search data aligned with their target customer profiles, thereby enhancing content strategy and market understanding.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.openAi, code, googleSheets, if, manualTrigger, n8n-nodes-mcp.mcpClient, set, splitInBatches, stickyNote

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