AI Sentiment Analysis

How AI describes your brand to users

Analyze how AI models perceive and describe your brand to users. Rankry extracts the exact language each model uses when recommending your brand and measures overall sentiment as positive, neutral, or negative. The sentiment dashboard includes AI verdict cards summarizing each model opinion of your brand, deal-breaker detection flagging specific criticisms that may cost you recommendations, sentiment trend tracking showing how perception shifts over time, and per-category sentiment breakdown revealing which topics generate the most favorable or critical AI responses about your brand.

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.