AI Search Optimization

AI Search Optimization (ASO) is the discipline inside AI Search focused on engineering digital content for retrieval, validation, and citation within AI systems. It combines entity signals, structured data, and answer-first content to increase citation probability across large language models.

Practically, ASO is implemented through canonical entity identity, validator-clean, entity-linked JSON-LD, knowledge graph alignment, and answer-first content written in quote-ready “liftable” blocks.

ASO overlaps heavily with Artificial Intelligence Optimization (AIO) (a rising industry label) and is closely related to AEO and GEO. In this lexicon, AI Search is the umbrella; ASO is the craft name for the optimization work itself.