Claims Library Entry
The Marketing Prompt System That Actually Knows Your Business
Kamil Banc presents four context-aware marketing prompts that solve the problem of generic AI business advice by incorporating your specific customer type, constraints, and proof points. The article explains why copy-paste prompt libraries fail and how feeding AI the right business variables produces executable strategies.
Published July 7, 2025 by Kamil Banc
Lead claim
Four context-aware prompts transform generic AI marketing advice into strategies tailored to your actual business situation.
Atomic Claims
What this article supports
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Claim 1 · Source summary
The Context Gap
AI gives generic marketing advice when prompts lack context about the specific business situation.
Claim 2 · Source summary
Four Context Areas
Four context areas matter most: customer buying reality, proof situation, resource constraints, and follow-through system.
Claim 3 · Source summary
AI Memory Advantage
AI can remember context across conversations, making every future interaction more relevant.
Claim 4 · Kamil's interpretation
Executable Strategies
Context-aware workflows deliver strategies businesses can execute immediately with their actual available resources.
Claim 5 · Source summary
Smart AI, Generic Output
Without sufficient context, even the smartest AI becomes a generic advice generator.
Evidence
Context behind the claims
Quote
"The problem isn't the AI. The problem is asking questions without giving context."
Key statistics
$100
The author claims he has observed individuals charging $100 for less advanced prompts than the four included in this article.
Hundreds of thousands of dollars
The author estimates this workflow could generate hundreds of thousands of dollars in revenue for the right audience.
Hundreds of failed marketing experiments
The author says his four context areas were derived from analyzing hundreds of failed marketing experiments.
4 context areas
The system is built around four context areas: customer buying reality, proof situation, resource constraints, and follow-through system.
Supporting context
The article presents a practitioner-built framework of four marketing prompts designed to overcome the 'context gap' in AI-generated business advice. Kamil Banc's methodology rests on feeding AI the right business variables once, then leveraging AI's ability to retain context across conversations to produce increasingly relevant outputs. The framework targets three audiences he identifies as underserved: ambitious managers, business consultants building AI advisory services, and budget-constrained small business owners. Practitioners apply the system by defining their customer's buying reality, current proof points, actual resource constraints, and follow-through system before prompting. The full four-prompt system is behind a paid subscription, with the free portion covering the conceptual framework.
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"[claim text]" (Banc, Kamil, 2025, https://kbanc.com/claims-library/the-marketing-prompt-system-that-actually-knows-your-business)Original Article
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Banc, Kamil (2025, July 7, 2025). The Marketing Prompt System That Actually Knows Your Business. AI Adopters Club. https://aiadopters.club/p/the-marketing-prompt-system-thatClaims Collection
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Banc, Kamil (2025). The Marketing Prompt System That Actually Knows Your Business [Structured Claims]. Retrieved from https://kbanc.com/claims-library/the-marketing-prompt-system-that-actually-knows-your-businessAttribution Requirements
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