Audience Intelligence
See how AI recommendations change across audience cohorts
Compare how different audiences encounter your brand across the AI journey. GeoVector uses privacy-safe synthetic personas grounded in real-world demographic and geographic distributions across 10 country datasets — never individual consumer records — so teams can uncover meaningful differences by market and cohort.
- Population-grounded country datasets
- 10 countries
- Synthetic personas, not real people
- Privacy-safe
- Compare visibility, prompts, citations and sentiment
- Journey-wide
See it in action
Key Benefits
Population-Grounded Personas
Model audience cohorts with synthetic personas grounded in real-world demographic and geographic distributions, without exposing individual consumer data.
Ten Country Datasets
Analyse audiences across Singapore, the United States, Japan, India, Brazil, France, South Korea, El Salvador, Vietnam, and Belgium.
Cohort-to-Cohort Comparison
Compare how brand share, prompts, journeys, citations, sentiment, and shopping results change between activated audience cohorts.
Representative insight without individual tracking
GeoVector audience analysis uses privacy-safe synthetic personas grounded in real-world demographic, geographic, and cultural distributions. The available datasets cover Singapore, the United States, Japan, India, Brazil, France, South Korea, El Salvador, Vietnam, and Belgium. Personas are used to form repeatable cohorts; results describe differences in AI responses for those cohorts and are not estimates of population size, consumer identity, or individual behaviour.
Who Uses This
Compare how Singapore and United States audience cohorts encounter the brand, then adapt messaging and content priorities market by market.
Test whether age, location, occupation, or other activated cohort characteristics change which brands and sources AI assistants recommend.
Find audience segments where competitors hold stronger AI share of voice and trace the difference back to prompts, citations, and sentiment.