AI has opinions about your brand. Find out what they are
Sentiment Analysis shows how AI models evaluate your brand feature by feature, side by side with competitors.
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Go beyond visibility. Understand perception.
Sentiment Analysis breaks down AI responses into feature-by-feature scores so you see exactly where your brand wins, where it falls short, and where competitors are quietly taking ground.
See which product features AI is praising or criticizing.
Track endorsement and undermining counts per feature.
Catch perception shifts before they compound into a reputation problem.
Benchmark your brand at the feature level.
Your brand doesn't compete in aggregate, it competes feature by feature with other brands.
Ge a side-by-side comparison of your brand's features against competitors.
Find out where you lead and the gaps someone else's content is feeding into AI.
Find the competitor strengths AI is amplifying that your brand isn't getting credit for.
Turn AI perception into a content and positioning strategy.
When you know how AI perceives your brand, you know what to fix, what to amplify, and what to say.
Spot features where competitors are being endorsed and you're not and close the gap.
Monitor net sentiment scores over time to spot shifts before they become problems.
Prioritize product messaging improvements based on where AI perception diverges from your positioning.
Without Sentiment Analysis
With Sentiment Analysis
Manage all your brands and clients from a single dashboard.
Designed with agencies in mind, you can track, report, and share AI visibility data for multiple brands and clients.
Track real user behaviour in any country or language.
Omnia opens browsers in real locations to mimic exactly what users see, from New York to Singapore.
“Omnia helped us simplify how we look at AI visibility. Our AI leads inbound grew by 30%.”
Stop guessing how AI sees your brand. Find out today.
Frequently Asked Questions
AI brand sentiment analysis measures how AI models like ChatGPT, Gemini, and Perplexity evaluate your brand across specific product features.
Unlike tracking whether your brand appears in AI responses, sentiment analysis reveals whether that coverage is positive, neutral, or negative, and on which dimensions.
Social media sentiment tracks how people talk about your brand in reviews and posts. AI sentiment tracks how AI models evaluate your brand in generated responses.
AI platforms form their own opinions about your features, pricing, and support independently of real-time user conversations, and those opinions influence buying decisions.
Omnia tracks sentiment at the feature level: pricing, UX, customer support, integrations, and more. For each feature, you get a score based on how AI models describe your brand.
Yes. Omnia lets you compare sentiment scores against specific competitors, feature by feature. You can see which brands AI favors in a given category, identify where rivals are outperforming you in AI responses, and use that data to prioritize content updates or messaging changes.
Sentiment analysis is built for marketers and brand managers who want to understand how AI talks about their brand. It's especially useful for teams running competitive intelligence, managing brand perception at scale, or making content and positioning decisions based on how AI represents their product to potential customers.
AI visibility tells you whether your brand appears in AI responses. Sentiment Analysis tells you what those responses actually say about you. Visibility is about presence, sentiment is about perception. Together, they give you a complete picture of how AI is representing your brand to people who are actively researching.
Sentiment data shows you exactly where AI is underrating your brand and which competitors it favors instead. Use that to identify content gaps, update pages that are driving negative evaluations, and sharpen your messaging around the features where your brand's AI perception lags behind.