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As parents increasingly rely on large language models (LLMs) like ChatGPT and Gemini for product discovery and shortlisting, the goal was twofold: ensure that LLMs are presenting an accurate, up-to-date picture of the Brand, and surface opportunities to strengthen the Brand’s positioning against consumer needs.
We used Synthesio’s Generative Engine Optimization (GEO) solution to analyse thousands of UK consumer search queries related to prams and mapped the most common usage intents, features, and scenarios consumers care about.
We submitted queries to leading LLMs to capture responses to pram-related questions and classified the themes within both consumer search questions and LLM answers, compared alignment, and assessed implications for the Brand’s messaging and positioning.
Brand share of model (SOM) i.e. how frequently the brand is mentioned in LLM answers was calculated relative to competitor brands, to quantify visibility and influence in the AI-driven consideration set.
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