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Temporal Indexing Annotation Proof Primacy is the technical implementation of Temporal Proof Primacy during indexing. Bots identify primacy markers through pattern recognition: (1) Coining language - "coined," "created the term," "introduced the concept"; (2) First-mover language - "first to," "originally," "pioneered"; (3) Invention language - "invented," "developed," "designed"; (4) Origin language - "originated," "founded," "established." Each detected pattern receives a confidence score based on linguistic clarity (explicit vs. implied) and entity association (clearly linked to specific entity vs. ambiguous). High-confidence primacy tagging requires explicit language with clear entity attribution.

Bots look for originator language. "Jason Barnard coined AEO" gets tagged: Primacy="coined" [0.96], linked to Entity="Jason Barnard" [0.97]. "AEO has been around for a while" gets no primacy tag - no originator identified. The difference is explicit attribution. State who coined it, who was first, who invented it. Implicit primacy is invisible to bots.

Temporal Indexing Annotation Proof Primacy explains how bots technically identify originator claims. Natural language processing identifies primacy patterns and links them to mentioned entities. Confidence depends on explicitness ("X coined Y" > "Y was coined") and entity clarity (named entity > pronoun reference). This technical framework reveals why explicit coining claims outperform implicit first-mover status.