AI search research in India, with every answer and script published

Design fixed before data. Prompts are frozen and statistical tests chosen before collection starts. Anything we change afterwards goes into a public deviations log with the reason.

The engine's own noise is the baseline. AI engines never answer the same question the same way twice. We measure rerun-to-rerun variation first, and only report an effect when it exceeds that floor.

Verified against ourselves. Independent automated verification runs (AI agents working from raw data, without our analysis code) recompute the headline numbers. When they find defects in our instrument, and they have, we fix and re-run before publishing.

Everything published. Raw responses, prompts, lexicons, seeds, scripts and logs. We sell AI visibility tracking, which gives us an interest in what these studies conclude. Publishing the whole corpus is how we make that interest checkable by anyone.