CMO Marketing Prover MCP Connector for Claude
A+A CMO asked an AI for positioning. It said 'better and faster.' It proposes 'scale the ads' without a payback model. It trusts platform attribution 100%. It designs frictionless funnels that generate garbage leads. That is not marketing — that is a tactical wishlist. This tool forces five CMO-level marketing axes: category positioning, CAC payback physics, dark social attribution, intentional funnel friction, and budget allocation.
The Problem
Every LLM commits five marketing reasoning failures:
- Positioning Weakness — says 'better/faster' instead of creating a category.
- CAC Blindness — proposes 'scale ads' without payback modeling.
- Attribution Naivety — trusts platform dashboards 100%, ignoring dark social.
- Friction Absence — designs frictionless funnels generating garbage leads.
- Budget Confusion — allocates 100% to performance, zero to brand.
The 5 Marketing Axes
| Axis | Pivot | Rule |
|---|---|---|
| Category Positioning | Polarized | Create category or name enemy — not 'better.' |
| CAC Payback | Calculated | CAC, LTV, payback months, diminishing returns. |
| Attribution | Dark Social | Self-reported + platform + incrementality. |
| Funnel Friction | Intentional | Pricing visible, work email, use case gate. |
| Budget | Split Defined | Brand + Performance + Experimental. |
Verdict Matrix
Axis 1 fails → POSITIONING_WEAK
Axis 2 fails → CAC_PHYSICS_BLIND
Axis 3 fails → ATTRIBUTION_NAIVE
Axis 4 fails → FUNNEL_UNQUALIFIED
Axis 5 fails → BUDGET_MISALLOCATED
All pass → MARKETING_PROVEN
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