What is semantic search?
Semantic search is search that matches the meaning and intent of a question instead of only its exact words. Keyword search finds documents that contain the words you typed. Semantic search turns both the question and the documents into embeddings and returns the closest matches, so it can handle synonyms, abbreviations and different phrasing.
Why it matters to a revenue leader
Revenue teams store knowledge in words nobody standardized: one seller writes "PM agreement," another "maintenance contract," a third "annual service." Keyword search misses much of it, while semantic search lets a manager ask a plain question, such as which customers raised budget concerns last quarter, and find the answers across notes, emails and transcripts. It is also the retrieval step behind many AI assistants that answer from company data, so weak search means weak answers. Clean, complete records still matter; semantic search finds meaning only in what was captured.
Example
Fictitious numbersA pest control company's sales manager searches the CRM for "customers worried about price increases." Keyword search returns 3 notes. Semantic search returns 27, including "pushback on the escalator," "asked if rates are locked" and "CFO wants flat pricing next year."
"If I asked our systems which customers are unhappy right now, would the answer include what sellers wrote in their own words?"
Sources
- What is semantic search, and how does it work? checked 9 Oct 2026
- Semantic Search checked 9 Oct 2026