Why does AI describe your brand differently from how you do?
Why AI systems describe brands differently, and a three-question test to compare their answers with your brand key.
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Why AI assembles a different version of your brand
The first time I asked an AI assistant to describe a client's company, the answer was recognisable but slightly off. It quoted a positioning line retired years ago and a product category the company had left. Their customers were reading exactly that version.
I have seen the same pattern many times since in LLM brand tracking work across education, e-commerce, retail and FMCG.
A language model has no access to your brand book. It works with what it learned in training and what it retrieves on request: your website, profiles, press, reviews, job ads. Where these disagree, it blends them. Kandpal and colleagues showed at ICML 2023 that models reproduce facts less accurately the less often those facts appear in training data. A 2025 University of Toronto study found that AI search draws far more on third-party sources than on brand-owned content. How accurately a brand is described depends on this grounding: the independent evidence a system can find and cite.
When brand architecture loses its distinctions
When I led a portfolio of brands across 18 markets, we built a differentiated brand architecture giving each brand its own role. It was designed for people, who notice nuances and fill gaps with context. An AI system does neither. Where two brands describe their USP, benefits and reasons to believe in similar terms, it merges them.
Three questions to compare with your brand key
A test any CMO can run this week: ask three AI systems what your brand stands for, why someone should choose it over your closest competitor, and what proves it. Put the answers next to your brand key.
If the USP is vague, the positioning statement is the problem. If the benefits are generic, they are worded like the category. If the proof is missing, your reasons to believe live only on your own website, where models trust them least.
Who owns the answer AI gives about your brand?
This work sits between brand, SEO, PR and employer branding, which usually means nobody owns it. In my view it belongs with the CMO, as part of brand governance.
Who in your organisation owns the answer AI gives about your brand?
