Track how AI models compare your brand against competitors in real-time responses. The compete dashboard includes win rate analysis showing how often AI recommends you over each competitor, head-to-head comparison cards for direct matchups across all prompts and models, share of voice breakdown revealing which brand dominates AI recommendations in your category, gap-to-leader metrics quantifying exactly how far behind the leading brand you are on each metric, performance radar charts for multi-dimensional competitive comparison, and per-provider filtering so you can see competitive dynamics on ChatGPT, Gemini, Perplexity, Grok, and Claude individually.
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.