Case studyAI automation · Analytics
Marketing Intelligence CLI
A client-agnostic command-line system that audits an entire Google marketing stack and layers model-driven analysis on top, turning days of manual auditing into a single command with a repeatable action plan at the end.
- Python
- Google Ads API
- GA4
- Search Console
- Claude API
- audit modules
- 17audit modules
- platforms integrated
- 4platforms integrated
- automated reporting cadence
- Weeklyautomated reporting cadence
Auditing a marketing account properly means pulling from four separate systems, reconciling them, and forming a judgement about what to do next. Done by hand it takes days, it is inconsistent between runs, and the findings are stale by the time they are written up. Hart & Heim compressed that into one command.
Audit as software, not as a document
Each audit is a module with a defined input and a structured finding as output. That makes the whole suite composable, testable and — critically — comparable between runs, so change over time is visible rather than re-argued each month.
- Coverage across paid search, analytics, shopping feed and organic search in one pass
- Findings carry severity and detail rather than a bare pass or fail
- History is persisted, so this month's audit can be diffed against the last
The analyst layer
Raw findings are not the deliverable. A model-driven layer sits above the audits, fusing signals that individually look unremarkable and turning them into a prioritised plan.
- Anomaly detection across time series rather than fixed thresholds
- Signal fusion across platforms, so an organic drop and a paid spike are read together
- Embeddings and clustering to group related findings instead of listing them flat
- An action planner that outputs an ordered plan, not an undifferentiated backlog
Closing the loop
An audit that only produces recommendations leaves the hard part undone. A set of fix scripts applies the common remediations directly against the account, so the gap between finding and fix is a command rather than an afternoon.
- Negative keyword application and exact-match expansion
- Waste pausing on spend with no return
- Brand exclusion for automated campaign types
- Location and bidding adjustments applied from audit output