DTC Wellness · Case study
ENERGYbits
Marketing intelligence across a complex DTC stack
Built a complete marketing intelligence platform analyzing 15+ connected ad and content platforms, with blog generation pipelines and SEO, AEO, and GEO scoring before publish.
15+ platforms. One publishing brain.
With performance and content data spread across more than fifteen platforms, the team needed a practical way to turn fragmented signals into publish-ready decisions.
Marketing context was distributed across ad, analytics, and content platforms.
Research, drafting, and quality checks required repeated effort.
Content needed to perform in traditional search and AI-generated answers.
A connected system designed around the way the team actually works.
We built a connected marketing intelligence platform with automated blog pipelines and SEO, AEO, and GEO scoring before content goes live.
Connected intelligence
Signals from 15+ platforms feed a shared decision layer.
Automated blog pipeline
Research and structured drafting move through a consistent production flow.
Pre-publish scoring
Every draft is evaluated for search, answer-engine, and generative-engine readiness.
What the system does.
Data connection
- 15+ platform integrations
- Normalised marketing signals
- Unified analysis
Content automation
- Research pipeline
- Structured drafting
- Editorial workflow
Discoverability
- SEO scoring
- AEO scoring
- GEO scoring
From fragmented work to a repeatable operation.
Quality checks happen earlier
Content is evaluated before publication, when improvements are easiest to make.
A scalable content operation
The team can increase output without multiplying manual research and coordination.
Visibility beyond traditional search
The workflow accounts for both search engines and AI answer experiences.
