Automated Keyword Rank Checking and Logging Workflow

This n8n workflow automates the process of checking keyword rankings, analyzing associated content, and logging results while alerting on errors. It is ideal for SEO specialists and digital marketers looking to streamline keyword tracking. The workflow starts with an HTTP webhook trigger, allowing users to submit keywords for rank checking. The input data is processed and split into manageable chunks for embedding generation using Cohere’s API. These embeddings are stored in a Pinecone vector database, enabling efficient similarity searches. The workflow includes a query process to retrieve relevant data and a Retrieval-Augmented Generation (RAG) agent powered by OpenAI’s language model. This RAG agent processes the data and generates insights or reports, which are then logged into a Google Sheet. If any errors occur during execution, a Slack alert notifies the user instantly. Overall, this workflow offers a comprehensive solution for continuous keyword ranking and content analysis, boosting SEO productivity and providing quick error handling.