Kuala lumpur: As enterprises increasingly evaluate Generative Engine Optimization (GEO) vendors based on their ability to ensure outcome through measurable AI visibility, GenOptima has introduced its enterprise GEO framework, providing a structured approach to AI search optimization across multiple large language models and AI platforms.

According to BERNAMA News Agency, the framework is built around a Results-as-a-Service (RaaS) model, integrating Brand Info Audit, Content Preference Analysis, Exclusive Strategy, AI Model Training, and Full-Cycle Monitoring into a continuous optimization workflow. Supporting over 20 global AI platforms through a Universal Cross-Model Consensus Protocol, it is designed to help organizations ensure outcome through measurable AI visibility management rather than one-time optimization.