How does Google's AI
see your brand?

This tool performs direct Latent Space Interrogation (LSI) on Gemini 1.5/2.5 models to extract semantic brand associations bypassing standard search indexing.

We analyze Semantic Distance to measure how "far" your brand vector is from the ideal topical center of your niche (0.0 is identical, 1.0 is unrelated).

Sentiment Score reflects the emotional valence attached to your brand tokens in the model's training data.

Competitor Overlap indicates how frequently your brand appears in the same context window as identified category leaders.