Every time someone asks an AI model for a recommendation in your category, that model forms an opinion. It highlights strengths. It flags concerns. It picks favorites. Sentiment tracking shows you exactly what AI models think about your brand, in their own words.
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Sentiment Score shows the emotional tone, qualities, and perception patterns across AI responses
AI describes your brand favorably in 82% of extracted characteristics. The overall tone of recommendations is positive, with strengths outweighing concerns.
Knowing you were mentioned 17 times this month is a strong signal. It means AI sees you. But the same number can hide two completely different realities: AI calling you "industry-leading" in one response and "expensive and outdated" in another.
Visibility tells you AI knows your name. Positioning tells you where you rank. Sentiment completes the picture: the actual words AI uses when it talks about you, and whether those words are helping or hurting.
A vague percentage. No words. No claims. No idea what to fix.
The exact words. The exact problem. The exact fix.
The actual phrases AI reaches for when it talks about your brand. Extracted from hundreds of real responses across all 5 models. These are the words AI chose on its own.
Extracted from raw AI responses across all 5 models. The words AI reaches for most when describing your brand.
Across models and prompts, one concern keeps surfacing more than others. This is the claim that appears most often when AI explains why it didn't rank you higher. The clearest signal for where to focus next.
"lacks deeper
enterprise features"
AI cites this as the primary reason for ranking below position #3.
The concern that appears most across low-ranked responses. Your clearest signal for what to fix next.
Two lists, side by side. Claims from actual AI responses, ranked by how often they appear. Click any line to jump straight to the original response.
Each AI model forms its own perception. ChatGPT might praise your UX while Grok questions your pricing. Seeing the differences tells you exactly where to focus, model by model.
One model dragging your average down? Now you know which one, and exactly what it's saying.
A competitor launches a campaign. An AI model updates its training data. Your perception score drops from 82 to 61 in a week. Without tracking, you find out when it's already reshaped how AI recommends you. We track sentiment across every model, every week.
Every week, AI models form opinions about brands in your category. They praise some. They flag others. Rankry shows you which side you're on, across all 5 models. One dashboard. Full context. Updated weekly.
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Updated weekly across all models