Rankry provides 25+ proprietary metrics for tracking your brand across ChatGPT, Claude, Gemini, Perplexity, and Grok. Core features include AI visibility score tracking with weekly trend analysis, average ranking position across all prompts and models, deep sentiment analysis showing how each AI model describes your brand, response diversity measurement revealing how broadly your brand is recommended, and competitive benchmarking with head-to-head win rate analysis against up to 5 competitors. Additional capabilities include human intent simulation with 100+ category-specific prompts, category performance breakdowns, strategic insight cards, per-provider filtering, and exportable weekly reports.
Rankry is an AI visibility analytics platform that tracks how your brand appears across ChatGPT, Claude, Gemini, Perplexity, and Grok. The platform monitors 25+ proprietary metrics including mention rate, ranking position, sentiment analysis, response diversity, and competitive benchmarking. Teams use Rankry to understand how AI models recommend their brand, track changes week over week, and optimize their content strategy for the new AI-powered search landscape. With automated weekly scans, real-time alerts, and actionable insights, Rankry helps marketing teams and agencies stay ahead in the rapidly evolving world of AI search. Plans start at $99 per month with support for all five major AI providers.
AI-powered search is transforming how consumers discover and evaluate brands. More than half of Google searches now trigger AI Overviews, and standalone AI assistants like ChatGPT and Perplexity handle millions of product recommendation queries every day. When a user asks an AI model for a recommendation in your category, your brand is either included in the response or it is not. Unlike traditional search where you compete for ten blue links, AI recommendations typically feature three to five brands, making the competition for inclusion significantly more intense. Brands that build strong entity authority through consistent presence in authoritative sources, structured data, and expert-attributed content are the ones that AI models learn to recommend. Monitoring this presence across multiple models and prompt types is essential for any modern marketing strategy.