Overview

Built an AI automation platform for a content analytics SaaS. The system pulls data from GA4, analyzes published articles, extracts keywords and themes, clusters related topics, and generates editorial recommendations.

Content teams use it to see what's performing, where they're building topical authority, and what gaps exist in their content strategy—without manually combing through analytics.

The Problem

The client's customers (publishers, media companies) were doing content analysis manually. Export GA4 data, cross-reference with articles, read through content to categorize, build reports, look for patterns. Repetitive, slow, and inconsistent.

What the System Does

• Connects to GA4 and pulls performance metrics for all published content
• Scrapes each article and runs AI analysis to identify categories, themes, and keywords
• Maps content to audience personas to reveal coverage gaps
• Clusters related topics to show where authority is being built
• Generates recommendations based on performance patterns

The system runs on a schedule and keeps the dashboard updated automatically.

Results

• Automated the manual analytics and categorization workflow
• Consistent analysis applied to every article
• Surfaces patterns that would take hours to find manually
• Scales to thousands of articles without additional work

If your team is still pulling GA4 exports and building reports manually, this is the kind of workflow automation that eliminates that. Reach out if you want to discuss.