Semantic Analysis for Market Research: How AI Understands Intent

Keywords are dead; intent is everything. DemandSonar's semantic analysis engine goes beyond matching words to understanding the meaning and urgency behind them. It classifies every piece of text into 18 intent categories, from "symptom investigation" to "immediate purchase." For a search like "best noise-canceling headphones under $200," the AI detects: product category, budget constraint, comparison intent, and moderate urgency. It then groups similar utterances across platforms and measures the cluster's velocity. This semantic layer lets founders see not just that people are talking, but that they're getting ready to buy. One founder discovered that while "meditation app" was informational, "meditation for panic attacks right now" had high urgency and transactionality, a completely different product design. Semantics turns noise into signal. [See the intent behind the words →]