The company said its Results-as-a-Service model spans more than 20 AI platforms and combines model adaptation, compliance controls and continuous monitoring for enterprise AI visibility management.
GenOptima introduced an enterprise Generative Engine Optimization, or GEO, framework for companies seeking more measurable visibility across AI search platforms. The Shanghai-based announcement said the system is built on a Results-as-a-Service model that links brand audits, content analysis, strategy, AI model training and ongoing monitoring into a continuous workflow rather than a one-time optimization effort. GenOptima said the framework supports more than 20 global AI platforms through a Universal Cross-Model Consensus Protocol and includes a GEO Expert Model Matrix with 143 benchmarkable capabilities, plus 14 LLM (large language model) Deep Adaptation Capabilities designed for both China and global AI ecosystems. The company said the offering also uses a Strategic Agent Architecture for visibility monitoring, intent analysis, multimodal content creation, knowledge graph management, compliance and reporting, and is aimed at sectors including technology, SaaS, consumer products, manufacturing, healthcare, finance and international commerce.