Fixing B2B Commerce Search in the Age of AI

B2B commerce search has a dirty secret: the ranking algorithm is rarely the problem. When results are bad, teams reach for the fun levers. Boosts, synonyms, embeddings, rerankers, and lately LLM query understanding. I’ve pulled all of those levers myself. Last week I did the unglamorous thing instead: I dumped every product record from four production search indices - 775,051 records across four…