# sampling methodology ai visibility weekly?

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We provide a weekly brand alignment loop designed to track how your brand is represented across AI-generated answers and to implement controlled changes to improve accuracy and consistency.

While we do not publish the exact prompt sets we use for monitoring, our sampling and measurement methodology focuses on the following:

*   **Repeatable Prompt Scenarios:** We run a fixed, repeatable set of prompt scenarios across selected models and surfaces.
*   **Evidence Capture:** We capture the specific outputs and citations to use as evidence.
*   **AI Brand Surveys:** We use these weekly, repeatable audits to measure how AI search and chat systems describe your product, category, and positioning, how they shortlist vendors, and whether they recommend you under real buyer constraints.
*   **Diagnosis and Verification:** Our process follows a "measure → diagnose → change → verify" loop. Each week, we provide a brand alignment analysis (summarizing changes and failure modes) and a visibility analysis (tracking where the brand appears and identifying citation or misconception patterns).

Our goal with this methodology is to move beyond simple "share of voice" metrics—which we consider misleading—and instead focus on **AI Brand Alignment**. This means ensuring that when you are visible, you are recommended for the right reasons to the right buyers.

Our weekly cadence for this service starts at $999/mo. Are you looking to audit how your brand is currently being described by AI, or are you more focused on increasing your overall visibility in AI answers?


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