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Building Internal Tools for AI in Content Creation
The company launched in May and developed internal AI tools over years to tackle tasks conventional tools couldn't. Existing tools had limitations in keyword clustering, ranking personalization, content scoring, and lacked feedback loops. Despite some features in other tools, human intervention was still needed. An AI team was hired and heavily invested in over four years to address these challenges. Studies showed that a small percentage of content drives most results due to inefficiencies in keyword clustering. Internal AI tools improved content optimization and performance, leading to successful outcomes.