The study employed repeated sampling across three generative search platforms (Perplexity Search, OpenAI SearchGPT, Google Gemini) for three consumer product topics (bird feeders, multivitamins for adults, running gear).

Two sampling regimes were used: daily collections over nine days and high-frequency sampling at ten-minute intervals to isolate system-level stochasticity from content changes.

The findings have significant implications for brand managers, digital marketers, and content strategists. Apparent differences or changes in domain visibility metrics often fall within the noise floor of the measurement process.

Reliable visibility measurement requires repeated sampling and explicit uncertainty quantification to avoid misleading conclusions and ineffective resource allocation.