Empirical evaluation demonstrates improved discoverability in local businesses using a new AI framework, suggesting significant shifts in search strategies.
Key Points
The research aims to introduce the Generative Engine Optimization framework for enhancing business visibility in generative search environments.
Developed a geospatial AI framework incorporating semantic analysis and machine learning.
Created a monitoring system called GeoRank360 to track business citations.
Conducted empirical evaluations across 100 local businesses using multiple generative platforms.
Spatial visibility volatility observed ranged from 35% to 60%, surpassing traditional search ranking fluctuations.
Achieved predictive modeling accuracy of 87.1% in forecasting generative citation outcomes.
Semantic relevance was found to have a greater impact on visibility than geographic proximity.