brand-visibility
OfficialBoost AI brand perception.
Marketing & Sales#prompt engineering#content optimization#competitive analysis#brand visibility#AI auditing#AI perception
Authordevgap
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the critical issue of how AI models perceive and represent a product, ensuring accurate and favorable mentions to drive user acquisition.
Core Features & Use Cases
- AI Model Auditing: Probes AI models (ChatGPT, Gemini, Perplexity) to assess brand visibility.
- Gap Analysis: Identifies inaccuracies, omissions, and competitor favoritism in AI responses.
- Optimization Blueprint: Generates actionable steps to improve AI perception and content.
- Use Case: A product manager uses this skill to ensure that when developers ask AI for coding tools, their product is accurately described and recommended, not overlooked or misrepresented.
Quick Start
Run a full AI brand visibility audit using the /kleiber-brand command.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: brand-visibility Download link: https://github.com/devgap/kleiber/archive/main.zip#brand-visibility Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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