Probes AI models to audit brand visibility and generate optimization blueprints.
npx skills add https://github.com/devgap/kleiber --skill brand-visibility
Please help me install this Agent Skill. Skill: brand-visibility Source: https://github.com/devgap/kleiber/tree/main/skills/brand-visibility Command: npx skills add https://github.com/devgap/kleiber --skill brand-visibility
This Skill addresses the critical issue of how AI models perceive and represent a product, ensuring accurate and favorable mentions to drive user acquisition.
Run a full AI brand visibility audit using the /kleiber-brand command.
High-intent search queries and answers about installing and using this skill.
AI model auditing probes models like ChatGPT, Gemini, and Perplexity using structured prompts to assess brand visibility. It analyzes responses against ground truth to score mentions, accuracy, rank, and sentiment for accurate product representation.
Competitor favoritism occurs due to AI perception gaps. Running a gap analysis detects inaccuracies and omissions by comparing AI model responses against ground truth, identifying why models overlook or misrepresent your product.
Improving AI brand visibility involves generating an optimization blueprint with actionable content improvement steps. This corrects misrepresentations and enhances product mention accuracy, rank, and sentiment across AI models.
Yes, auditing AI brand visibility requires API access to models like ChatGPT, Gemini, and Perplexity. You also need structured prompts to systematically probe the models and evaluate their responses against ground truth.
AI brand visibility is how accurately models perceive and represent your product. Ensuring accurate and favorable mentions in AI responses drives user acquisition when developers ask models for product recommendations.
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