AI Agents Automate Keyword Research Using Google Search Console Data

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A developer has built a workflow that connects AI agents to Google Search Console's Search Analytics API to automate keyword research for client websites. The system fetches up to 25,000 rows of real search query data spanning 12 months, eliminating reliance on guesswork-based keyword tools. A Node.js script processes the raw data through several stages, including route mapping, query aggregation, and intent classification. The agent then groups queries into clusters by page and search intent, such as informational or commercial, and flags keyword cannibalization where multiple pages compete for the same queries. The result is a structured JSON output that guides content decisions based on actual user search behavior rather than estimated traffic volumes.

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