Technical Basis for Video GEO

Technical Basis for Video GEO Confirmed

Synthesizing the technical findings, I've confirmed that the critical mechanism for Generative Engine Optimization involving video is Multimodal Retrieval-Augmented Generation (RAG). This process involves highly detailed analysis by Large Language Models (LLMs) that goes beyond simple transcription. Specifically, I see that LLMs perform Automatic Speech Recognition (ASR) for audio, extract visual cues and key frames using Foundation Models (FMs), and then blend this rich text and visual data. This composite information is then stored in Vector Databases for efficient retrieval, confirming that comprehensive, multimodal indexing is non-negotiable for video visibility in the AI era.