Intent Analysis
Classification and understanding of the user's purpose or goal behind a query.
What is Intent Analysis?
Intent Analysis categorizes prompts based on what users are trying to accomplish: informational (learning), navigational (finding), transactional (buying), or commercial investigation (comparing). Understanding intent helps prioritize GEO efforts—transactional queries with high purchase intent deserve different optimization strategies than informational queries. Intent analysis also reveals where users are in their decision journey, enabling targeted content strategies.
How Qwairy Makes This Actionable
Qwairy automatically performs intent analysis on your monitored prompts, categorizing them by user intent and funnel stage. This helps prioritize optimization efforts on high-value queries and align content strategy with user needs.
Frequently Asked Questions
Related Terms
Prompt
Question or query asked to an LLM to obtain a generated response.
Conversational Keywords
Natural language queries and questions used in AI search, as opposed to traditional short-form keywords.
Funnel Stage
The position of a query or user interaction within the customer journey from awareness to purchase, commonly divided into TOFU, MOFU, and BOFU.
Shopping Intent
Signals within queries or responses indicating user readiness to make a purchase decision.