Website Automation with AI Content + Analytics
We built a closed-loop content system that analyzes Google Analytics and SERP data to identify high-opportunity topics, generates SEO-optimized articles with AI, and tracks performance—increasing organic traffic 156% in 6 months.
This e-commerce company's content strategy was entirely intuition-driven. Writers produced 2-3 blog posts monthly based on what "felt" relevant, with no connection to search demand or performance data. Articles took weeks to publish and rarely ranked. Organic traffic had plateaued for 18 months while competitors climbed SERP positions. The marketing team knew they needed more content but couldn't justify headcount without proving ROI.
We built an integrated content intelligence platform. The system ingests Google Analytics, Search Console, and third-party SERP data to identify keyword gaps, declining pages needing refresh, and competitor content opportunities. It prioritizes topics by traffic potential and competition difficulty. AI generates first-draft articles optimized for target keywords, complete with meta descriptions, internal linking suggestions, and image alt text. A performance dashboard tracks each article's ranking trajectory and attributes revenue to content.
Publishing cadence increased from 2-3 articles monthly to 12-15. Organic traffic grew 156% in 6 months. 23 articles reached page-one rankings within 90 days of publication. The content team finally had clear attribution showing $47K in monthly revenue directly tied to organic content.
Tangible outcomes, not just prototypes
- •Organic traffic increased 156% in 6 months.
- •Publishing volume grew 5x (3 → 15 articles/month).
- •23 articles reached page-one rankings in <90 days.
- •$47K monthly revenue attributed to organic content.
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