Intent Resolution
The process by which AI systems interpret user requirements, extract selection criteria, and formulate search strategies for discovery.
Description
Intent resolution is the first stage of AI-mediated discovery. AI systems must understand user preferences, constraints, and goals before they can search and compare entities. Poor intent resolution leads to irrelevant recommendations. Structured preference representation improves resolution accuracy.
Related Concepts
Related Research
AI-Mediated Property Discovery Report 2026
The AI-Mediated Property Discovery Report 2026 presents the first comprehensive observational study of how AI systems discover, evaluate, compare, and select properties across diverse markets. Through systematic observation of AI response patterns across 50 real estate markets, thousands of AI responses, and documented selection events, this report establishes the empirical foundation for understanding AI-mediated property discovery. The report analyzes property selection behavior, identifies top selection signals, examines explainability patterns, measures representation effects, and documents citation sources that inform AI decision-making.
AI Selection Signals Report 2026
The AI Selection Signals Report 2026 identifies and ranks the property attributes that most strongly influence AI-mediated property selection behavior. Through systematic measurement of AI response patterns across 50 markets and standardized analysis of surfaced properties, we establish which attributes serve as primary selection signals across hospitality and real estate verticals.