You can see what AI says about your brand by using an AI brand monitoring tool like KIME. KIME tracks how AI models like ChatGPT, Gemini, Claude, and Perplexity describe your brand across thousands of prompts. It surfaces your sentiment score, the exact keywords AI associates with you, which sources AI cites when discussing your brand, and how your perception compares to competitors. Instead of manually prompting each model one by one, KIME runs the prompts automatically and gives you a real-time dashboard of your AI brand perception, updated daily.

To find out what ChatGPT says about your brand, track its responses systematically across prompts relevant to your industry. Asking ChatGPT one-off questions gives you a snapshot, but AI responses change frequently with model updates and new training data, so a single check quickly goes out of date. KIME automates this by running category-relevant prompts across ChatGPT, Gemini, Claude, Perplexity, and other AI models daily, then tracking your brand's mention frequency, sentiment, ranking position, and the exact language AI uses to describe you. The result is a consistent, data-driven view of your brand in ChatGPT rather than anecdotal spot-checks.

Your brand may not show up in AI search results (in tools like ChatGPT, Gemini, and Perplexity) for several reasons. AI models pull information from web sources they consider authoritative, so if your brand lacks presence on high-authority websites, review platforms, or industry publications, models may not have enough data to reference you. Other common causes include low content volume around your core topics, weak citation authority compared to competitors, and inconsistent brand information across the web. KIME helps you diagnose exactly where the gaps are by tracking your visibility across every major AI model and showing which competitors appear in the answers where your brand doesn't.

Brand sentiment across AI models is measured by analyzing the language, tone, and positioning AI uses when it mentions your brand. KIME calculates a sentiment score based on factors like brand focus, language tone, competitive positioning, endorsements, source credibility, information recency, confidence level, and risk factors. It tracks this across every major AI model, including ChatGPT, Gemini, Claude, and Perplexity, breaks it down into positive, neutral, and negative mentions over time, and identifies exactly which factors are driving your score up or down. This lets you move beyond guessing and understand precisely how AI perceives your brand.

KIME tracks your brand perception across all major AI models, including ChatGPT, Google Gemini, Google AI Overviews, Claude, Perplexity, Microsoft Copilot, Meta AI, Grok, and DeepSeek. Each model can perceive your brand differently based on its training data and source preferences, so tracking across all of them is critical. KIME runs prompts across these models daily and lets you compare your sentiment, visibility, and keyword associations model by model, so you can see exactly where your brand is strong and where it needs attention.

Improving how AI models perceive your brand requires a generative engine optimization (GEO) strategy. That means creating authoritative, well-structured content AI models can cite, earning mentions on high-authority third-party websites, building consistent brand signals across the web, and addressing negative sources that may be pulling your sentiment down. KIME helps by showing exactly which factors drive your current perception, which sources AI cites about you, and where competitors outperform you. From that data, KIME automatically generates prioritized actions on what to improve. And with KIME's agentic system (AWX), you can go beyond insights and actually execute those actions, like writing blog posts, articles, and outreach emails, directly from the platform.