GeoSonar

GeoSonar is a platform designed to measure and improve brand visibility within responses generated by major AI engines, including ChatGPT, Perplexity, Gemini, Claude, and Copilot. It addresses the challenge of ensuring brands are cited and visible in AI-generated content, providing brands with insights into their presence across these platforms.

A central feature of GeoSonar is its GEO Score, which evaluates brands across dimensions such as Infrastructure, Narrative, and Authority. The platform employs a deterministic algorithm and is grounded in scientific measurement, drawing on academic research to inform its optimization techniques. GeoSonar conducts citation tests on both brand-specific and discovery queries, helping users understand where and how often their brand is mentioned in AI-generated answers. Based on these assessments, it generates an action plan prioritized by potential impact, guiding users toward concrete steps to enhance their AI visibility.

The platform highlights optimization techniques that have been shown to increase the likelihood of being cited by AI engines. These include citing authoritative sources, adopting an authoritative tone, incorporating statistics and concrete data, adding quotations from experts or researchers, and optimizing content fluency. GeoSonar references academic research, specifically findings presented by Princeton researchers at KDD '24, to support the effectiveness of these strategies.

GeoSonar is intended for brands seeking to track and improve their visibility and citations in AI-generated responses. It provides actionable intelligence and prioritization to help brands enhance their presence in the evolving landscape of AI-driven content.