AI Chat Analysis
An LLM-based AI assistant summarizes the key issues and explains the causes of negative issues from a single question, without requiring teams to read thousands of articles one by one.
Through a conversational interface, users can instantly generate and visualize graphs that match the conditions they ask for, dramatically reducing reporting time and accelerating decision-making.
Choose the Latest Multi-LLM Models
Users can freely choose and use the latest global LLMs according to their analysis goals and preferences. Five leading high-performance models are currently supported first.
As AI technology trends continue to evolve quickly, the latest models will be updated continuously so each model can deliver advanced language processing and precise data interpretation tailored to its strengths.
RAG-Based Media Intelligence
Based on the vast integrated media database that Otto Monitor has built over 17 years, it applies retrieval-augmented generation (RAG) technology to produce the most reliable analytical results.
Because it extracts insights from verified media data that has actually been collected, rather than giving generic AI answers, it delivers accurate and practical answers and strategic recommendations that can be used immediately in business decision-making.
Reputation & Sentiment Analysis
An advanced AI sentiment engine precisely classifies the tone of news and social media into positive, negative, and neutral, tracking the flow of brand reputation in real time. It goes beyond simple mention volume to identify the character of public opinion and pinpoints the origin of negative sentiment and the spread points of positive sentiment through related-keyword analysis.
This helps build a proactive defense system against unexpected media risk and suggests the best communication strategy to strengthen brand value.
