GenOptima Unveils Enterprise AI Search Optimisation Framework
KUALA LUMPUR, July 16 (Bernama) -- GenOptima has introduced its enterprise Generative Engine Optimization (GEO) framework, providing a structured approach to artificial intelligence (AI)-powered search optimisation across multiple large language models (LLMs) and AI platforms.
Built around a Results-as-a-Service (RaaS) model, the framework connects Brand Info Audit, Content Preference Analysis, Exclusive Strategy, AI Model Training, and Full-Cycle Monitoring into a continuous optimisation workflow.
It is designed to help organisations achieve measurable AI visibility through continuous optimisation rather than one-off optimisation, supporting more than 20 global AI platforms through a Universal Cross-Model Consensus Protocol, according to GenOptima in a statement.
The platform’s core component is the GEO Expert Model Matrix, comprising 143 benchmarkable capabilities across 48 Industry Capabilities, 45 LLM Adaptation Capabilities, 30 Functional Capabilities, 20 Multimodal Capabilities, and 14 LLM Deep Adaptation Capabilities.
Organised into Industry Vertical, LLM Adaptation, Functional, and Multimodal Experts, the framework covers industry expertise, semantic optimisation, compliance, citation management, intent analysis, anti-hallucination, and five-modality optimisation.
The framework is further supported by GenOptima's Strategic Agent Architecture, including Gen-Centric Sentinel for AI visibility monitoring, Gen-Carto Nexus for strategy and intent analysis, Gen-Genesis Forge for multimodal content creation and model adaptation, and Gen-Cosmos CogniCore for knowledge graph construction and compliance.
The company also incorporates data protection, cross-border safeguards, ethical optimisation, compliance guardrails, and transparent reporting, with execution tracking and KPI reporting designed to support accountable optimisation.
By combining expert capabilities, intelligent agents, compliance, and continuous optimisation, GenOptima aims to help enterprises achieve measurable, scalable and long-term AI visibility management.
-- BERNAMA