AuraMetrics.io

Brands today are ranked and evaluated by traditional SEO, but AI systems like ChatGPT, Perplexity, and Google AI Overviews now answer customer questions directly and choose which brands to cite or recommend, skipping the rest. A brand can rank well on Google yet be invisible in these AI-generated answers if competitors are cited instead. Most brands have no visibility into which AI platforms mention them, why competitors are chosen over them, or which third-party sources (like G2, Reddit, or industry blogs) AI models rely on. Without this insight, teams cannot tell whether their AI presence is improving or translating into actual traffic and revenue.

AuraMetrics.io is a platform built around four connected functions: tracking whether a brand appears in AI answers, understanding why competitors appear instead, identifying which external sources AI models trust, and measuring whether AI visibility drives real traffic and revenue. Its Prompt Tracking module runs queries across ChatGPT, Gemini, Google AI Mode, Perplexity, and Claude to show how often a brand versus its competitors appear. Key Sources Intelligence maps which third-party sites (G2, Reddit, TechCrunch, ProductHunt, etc.) each AI model relies on. A GEO Score audits a site's schema markup, entity clarity, FAQ coverage, and trust signals to flag what needs fixing to become more citable. A GA4 integration connects AI-referred sessions to actual revenue, closing the loop between visibility and business impact. The company also offers modules for content optimization, FAQ generation, and AI commerce readiness (e.g., Merchant Analytics, Image Fixer Agent).

The page frames this around a shift where ChatGPT, Perplexity, and Google AI Overviews now answer questions directly and pick which brands to cite, meaning traditional search ranking no longer guarantees visibility or business.