Who built thisand why itmatters now.

For decades, the OEM named the part. The distributor binned it. The aggregator labeled it. The buyer searched for it. Each layer of the supply chain spoke its own vocabulary, and the buyer reached for the one they trusted most.

That trust is shifting. The first taxonomy a buyer now sees is the one AI generates when they ask a question. CategoryRank measures how AI remembers each electronic component category — then compares that memory against OEM product pages, distributor parametric trees, aggregator labels, and buyer-search queries.

Whose vocabulary AI absorbed is the new shelf placement. We tell the OEM whether to defend the category language or reclaim it. We tell the broker where the vocabulary gaps create arbitrage. We tell the aggregator where their labels are drifting from how buyers actually search. Truth-first, no manufactured opportunity.

Built by Sam Kim. Background in industrial sourcing, large-scale data engineering, and AI evaluation. Built for the operators who already know AI is shaping their market — and want to measure how.

sam@categoryrank.ai