REPORT

No brand exists in a vacuum. We systematically test 5,000+ prompts to understand how LLMs see your brand compared to competitors. Where do you rank when consumers ask for recommendations? What brands are perceived as similar to yours? We analyze recommendation frequencies, semantic positioning, and the information sources LLMs use for their responses.

LLMs are strongly influenced by tone and language—but what exactly do they know about your brand? We analyze the adjectives and themes associated with your brand, test whether LLMs accurately know your product lineup or fabricate non-existent products, and examine what narratives appear in brand descriptions. We also reveal what it takes for your brand to be recommended over others, and how perception varies across different customer segments. This tells you not just if LLMs know you, but how deeply and accurately.

Factual accuracy is not always a strong suit of LLMs, yet consumers trust their product recommendations. We map which of your products get recommended for specific use cases and compare this to competitor products. Does the LLM know all your products? Can it distinguish between them meaningfully? We analyze pricing positioning, use case recommendations, and the decision logic LLMs use. You will know exactly where your product portfolio shines in AI conversations and where it's invisible.

The insights we provide are highly relevant for marketing and branding decisions, shaping the way you design campaigns, and the language you use in communication. They are an essential tool for any Chief Marketing Officer, Head of Brand, and SEO specialists.