GCC 2.0 is a first-of-its-kind music search and recommendation engine in which three engines, Component Combination (CC), Multimodal Situation (MS) and Ego (EG), interact on one shared component space. Non-experts describe only a situation and still receive music matched to their own taste; professionals define components directly in the same flow for intent-level precision. CC decomposes music into 8 main plus 8 sub and independent components, defining over one trillion objective sound profiles, and treats AI-generated-music detection as one of them. MS converts text, voice, image and scenario into component conditions displayed in the GCC controller for user correction, splitting scripts into scene-level conditions and candidate tracks while preserving emotional curve and recurring themes. EG learns days to decades of listening, ratings, reviews and repeat plays and returns that taste as editable coordinates; another person's ego connects in protected mode. Results lead immediately to listening, licensing and usage-based settlement.