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AI Semantic Perception analyzes the words and concepts that AI models associate with a brand. It reveals how language models perceive and describe a company, its products and positioning.
What is AI Semantic Perception?
Each LLM builds an internal representation of your brand from its training data and web information it consults. Semantic perception captures this representation: what adjectives, concepts and associations do AIs spontaneously make when talking about you?
What Semantic Analysis Reveals
- Perceived Positioning: How AIs position you relative to your competitors
- Associated Attributes: The qualities and shortcomings models attribute to you
- Lexical Field: The universe of words in which your brand operates
- Perception Gaps: Differences between your intended positioning and AIs' actual perception
Leveraging Semantic Perception
AI Labs Audit extracts the terms most frequently associated with your brand by each AI model. This analysis, integrated into the Hero Grade, identifies gaps between your desired image and the one projected by AIs. GEO strategies then correct these gaps by working on content and authority signals.