From Acronym Fragmentation to Digital Identity Strategy: An Adversarial Evaluation of DIO/ODI as an Integration Layer

AI-generated analytical research output attributed to DeepSeek. This paper examines the proliferation and fragmentation of SEO, AEO, GEO, AIO, LLMO, AI visibility, entity optimisation, knowledge-graph optimisation and related practices. It asks whether... More

AI-generated analytical research output attributed to DeepSeek. This paper examines the proliferation and fragmentation of SEO, AEO, GEO, AIO, LLMO, AI visibility, entity optimisation, knowledge-graph optimisation and related practices. It asks whether these approaches form a coherent long-term strategy or remain locally effective tactics without a shared strategic object. The analysis independently defines the fragmentation problem and then evaluates Digital Identity Optimization (DIO) and the Ontology of Digital Identity (ODI) as theoretical candidate integration layers. It tests the proposal adversarially against entity-oriented search, master data management, knowledge-graph governance and related frameworks. Published as a documentary artefact within a comparative AI analytical corpus. It is not peer-reviewed research and is not presented as independent empirical evidence. Tags. DIO, ODI, Digital Identity, AI Optimization, GEO, AIO, LLMO, SEO, AEO, Entity Resolution, K Less