Left Field Labs (LFL) has developed LFL Morse Intelligence, a proprietary brand intelligence engine that reveals how leading AI models, including ChatGPT, Gemini, Claude and Perplexity, perceive, describe and recommend a brand. It exposes the gap between the story a brand intends to tell and the one AI is conveying. When someone asks an AI for a recommendation, it typically offers up just three brands; not being listed means a brand is invisible, making “share of model” the new battleground. LFL Morse Intelligence asks the way a real customer would and reports each answer as it comes, noting that the same brand can score low in one model and favorably in another. Each analysis includes the brand’s AI perception score, a model-by-model gap analysis, the brand story as each model tells it, and an executive summary of the highest-impact findings. Rich Foster, SVP, Creative at Left Field Labs, stated that if AI misunderstands a company, flattens what makes it different, or recommends a competitor, that is a business problem. Every analysis is run by Left Field Labs on a brand’s behalf, and findings feed into a vision sprint to help clients stay competitive in an LLM era.