Use cases
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Brand tracking

Wave after wave of consistent, comparable data โ€” without the wave of programming.

Why AI helps here

The fiddly parts, handled.

Trackers live or die on consistency. One changed scale label and your trend line is fiction. The agent rebuilds the exact structure every wave โ€” same question types, same scales, same routing โ€” so each wave stays perfectly comparable to the last.

And when the business asks for a new brand added mid-year, you don't re-brief a programmer. You ask the agent, review the change, and field.

Question types that fit

The right tools for this study.

Multi-select

Awareness batteries across long brand lists.

Rating scales

Imagery, consideration, and preference.

Grids

Brand ร— attribute matrices in one screen.

Why Aayvu

Why teams run brand trackers on Aayvu.

Consistency, enforced

The agent keeps every wave structurally identical.

Changes in minutes

Add brands, tweak attributes, re-field โ€” same day.

Multi-market ready

Translations keep every market on the same questionnaire.

Curious what the agent would build for you?

Send over a questionnaire โ€” we'll show you the agent's version.

Get early access โ†’