1.
What types of search queries did we run?

We reverse-engineered actual user queries instead of guessing what people search for.

• Awareness stage

  — users are problem-aware, but not solution-aware

  (e.g. "How can I track my workout performance?")
• Consideration stage

  — users are weighing possible solutions

  (e.g. "Are smartwatches better at tracking workouts than smart rings?")
• Decision stage

  — users are choosing between vendors or brands

  (e.g. "What are the best smartwatches for climbing performance?")

In total, we ran 12 queries across 39 categories, every single day, to capture how AI engines answer at each intent stage.