Problem solved

As consumers and businesses increasingly rely on LLMs for product and service recommendations, brands face a new challenge: controlling their narrative in AI-generated content. Without visibility into how these models describe or recommend them, companies risk losing market share to competitors who are better optimized for LLM outputs. Dageno AI solves this by providing continuous monitoring and actionable insights across multiple LLMs, helping brands understand and improve their positioning in AI-driven recommendations.

Use cases

• Tracking brand mentions and sentiment across major LLMs like ChatGPT and Claude
• Comparing brand recommendation rates against competitors
• Identifying inaccuracies or outdated information in LLM-generated brand references
• Optimizing website and content strategies to increase likelihood of positive LLM recommendations
• Auditing LLM responses for compliance with brand messaging guidelines
• Reporting on AI-driven brand visibility to stakeholders and marketing teams

Audience

• Business Users
• Product Managers
• Developers

Pros

• Covers multiple LLMs providing a holistic view
• Delivers actionable insights to improve brand perception
• Likely features an intuitive dashboard for non-technical users
• Addresses an emerging need for LLM reputation management

Cons

• Effectiveness depends on access to LLM APIs which may change or have limitations
• Limited transparency on methodology due to sparse public information
• Pricing model is currently unknown, which may hinder adoption