AI Search Lexicon > sameAs Mapping
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Maintained by Bishop & last updated 2026-02-24
What is sameAs Mapping?
sameAs mapping is the practice of linking an entity's canonical record to equivalent entries across external knowledge graphs, registries, and platforms using the schema.org/sameAs property. sameAs mapping tells AI systems that a single entity exists under multiple URIs—such as a Wikidata QID, a LinkedIn company page, a Crunchbase profile, and a GLEIF registry entry—and that all of these references resolve to the same real-world organization, person, or concept. In AI search optimization, sameAs mapping strengthens entity resolution by providing LLMs with multiple independent sources that corroborate the same identity. Each sameAs link acts as a vote of consistency: the more verified external profiles that point back to a single canonical entity, the higher the confidence an LLM places in that entity when generating citations. sameAs mapping is a core implementation pattern within Entity API™ and Authority Graph™ by Growth Marshal.
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