Brands lack comprehensive methods to understand how they are perceived and represented within large language models (LLMs) and generative AI applications. Traditional marketing metrics do not capture AI-driven sentiment, making it difficult to track competitive positioning and optimize brand outcomes in these new environments. This absence of insight hinders marketers' ability to proactively manage their brand's reputation and influence within AI-generated content.

Revere provides a platform, Brand Luminaire, that enables marketers to measure, monitor, and optimize brand perception across major LLMs and generative AI applications. The platform uses proprietary LLM-based metrics to assess brand and product sentiment, offering insights into how AI portrays brands. By tracking competitive positioning within AI-generated content, Revere helps brands understand their AI presence and identify opportunities for improvement. The platform delivers actionable insights that allow marketers to enhance AI perception and influence brand outcomes in generative AI environments.

Brand Luminaire platform to assess AI's portrayal of brands and products across major LLMs

Proprietary LLM-based metrics to measure and monitor brand and product sentiment

Competitive positioning analysis within AI-generated content

Actionable insights to enhance AI perception and optimize brand outcomes

LLM readiness assessment to evaluate current brand positioning

Opportunity roadmap to identify areas for improvement in AI brand perception

Large language model optimization (LLMO) services to refine brand strategy

The primary audience includes marketing professionals and brand managers seeking to understand and improve their brand's perception and performance within AI-driven environments.