AI-Driven SEO Keyword Research Workflow

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This n8n workflow automates comprehensive SEO keyword research for content creators and marketers. It begins with gathering input data such as primary topics, target audience, content type, location, and competitor URLs through a webhook. The workflow then expands topics using AI, generating primary keywords, long-tail variations, questions, and related topics. It fetches keyword metrics including search volume, CPC, and difficulty from DataForSEO, and performs competitor analysis to identify gaps and unique angles. All data is merged to develop an actionable SEO strategy, which is then documented in a database like NocoDB. Notifications via Slack keep stakeholders updated on workflow progress and completion. This workflow streamlines the often time-consuming SEO planning process, ensuring data-driven, competitive, and optimized content strategies for online visibility.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.outputParserStructured, aggregate, code, merge, n8n-nodes-dataforseo.dataForSeo, nocoDb, set, slack, splitOut, stickyNote, webhook

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