Automated Keyword Research with AI and Ahrefs API

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This n8n workflow automates the process of performing keyword research by integrating AI language models and the Ahrefs API. It starts with receiving a keyword query via a webhook or chat trigger. The workflow then extracts and cleans the keyword using an AI agent, ensuring accuracy for API requests. The main keyword and related keywords are fetched through a specialized API request to Ahrefs, which offers keyword metrics such as search volume, competition, and CPC.

Next, the workflow processes and formats the retrieved data into a clear, readable report by using an AI response formatter. This step ensures the output is concise and easy to understand, suitable for reporting or further analysis. Throughout the process, memory management nodes help maintain context and improve performance.

This workflow is highly useful for SEO professionals, content creators, or digital marketers seeking to automate and streamline their keyword research routine. It can be triggered by chat messages, webhooks, or other integrations, enabling on-demand keyword analysis to enhance content strategy and search rankings.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.memoryBufferWindow, aggregate, code, httpRequest, stickyNote

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