Cenviq · Launch beta

Methodology

How Cenviq turns variable AI answers into reproducible business findings.

Versioned tests

Every run records time, locale, market, provider/model metadata, and prompt-pack version. Periods are compared with this context preserved.

Evidence first

Findings link to a raw response, canonical fact, or technical check. Ambiguous conclusions are labeled as hypotheses and reviewed.

Dry-run journeys

By default, Cenviq stops before any form submission, purchase, booking, or other external mutation.

Limitations

Two Gemini models do not represent every AI service. They run without web search, so we do not identify source websites. A retest repeats the baseline prompts and models, but nondeterministic AI responses do not prove causality or guarantee a permanent position.

Updated: September 14, 2026