We have developed proprietary sampling methodology techniques that allow us to poll Large Language Models (LLMs) for their brand preferences. We do this by asking the models thousand of questions about a product category and aggregating an overall score.

Absolutely. Evertune can generate AI Brand Index scores for any product category. This allows you to see AI preferences for different products, audiences and price points. For example you could see what brands AI recommends for "SUVs" or get more specific with "luxury SUVs" or even call out product features and price points like "3 row luxury SUVs under $100k".

The AI Brand Index metric is the percentage probability of a brand being recommended by AI for an unaided question about a given product category, where a brand name is not mentioned. A score of 45 means is included in an LLM response 45% of the time in a given product category.

For the AI Brand Index, the questions we ask the models deliberately do not include a brand name. This allows us to see what brands the models are most likely to recommend. We have additional analytics tools that deal with aided awareness and questions directly about a brand.

Absolutely! Sign up today and see how Evertune's AI Brand Index scores break down by key brand vectors and how the scores change from model version to model version. Our platform also analyzes how brands perform for different product features and consumer preferences, and what words are most AI most associates with a brand.

The scores represent what AI has learned from consuming vast amounts of internet content. The Evertune platform helps brands develop content roadmaps focused on educating AI models with specific product information, and we measure the direct impact of these efforts.