Rankry | AI Visibility Analytics

The platform monitors how major large‑language models—including ChatGPT, Claude, Gemini, Perplexity, and Grok—mention and recommend a brand, converting raw AI output into structured metrics. It aggregates over 25 proprietary visibility indicators, such as sentiment, position, diversity, and win‑rate, and presents a weekly data pulse that compares a brand’s performance against competitors across geographic and audience‑segment dimensions.

Users such include brand managers, marketing analysts, and competitive intelligence teams that need to understand AI‑driven recommendation dynamics. The dashboard displays rank scores, mention counts, and insight briefs that highlight recurring issues flagged by the LLMs, such as missing security details, and offers a competitive breakdown for multiple products or services.

What distinguishes the service is its unified analytics layer that tracks multiple LLMs simultaneously, applies a deep sentiment engine and human‑intent simulation, and delivers a single source of truth for AI visibility. The experimental system aims to turn AI recommendation gaps into actionable growth signals.