Pallix is an AI visibility and answer engine optimization (AEO) platform that tracks, explains, and improves how brands appear in AI answer engines — ChatGPT, Perplexity, Google AI Overviews, Gemini, Copilot and Grok. As buyers increasingly ask AI for recommendations instead of scrolling search results, Pallix shows brands whether AI is recommending them or their competitors, why, and exactly what to do about it.
The dashboard goes well beyond a single visibility score. It breaks down performance per engine and per prompt — mention rate, prompts visible, average position, and flagged or negative answers — and pairs it with a technical readiness audit (whether AI can reach and read your site, your AI guidance file, and on-page trust signals). It surfaces competitor share of voice and shows who AI recommends instead of you, analyzes how AI frames your brand (tone, sentiment, and the words it associates with you), and maps the exact third-party sources each engine cites in your category — Reddit threads, review roundups, marketplaces — so you know precisely where to earn mentions. Every finding rolls up into a prioritized action roadmap with effort and impact labels.
Pallix works in any market — it queries AI from within the region you sell in, so results reflect the brands, sources, and language your actual buyers see, rather than US-default answers. That regional accuracy runs deepest for India: Pallix handles Hinglish and local phrasing and analyzes the Indian sources AI actually cites, making it especially strong for Indian D2C brands, SMBs, and agencies — while working globally for teams anywhere. Start with a free audit (no signup), then move into the dashboard for ongoing tracking, source-gap intelligence, Reddit intelligence, and competitor monitoring.