This article outlines a method for creating a repeatable benchmark to measure AI search visibility for businesses. It emphasizes starting with customer decisions rather than keywords and using a stable, versioned set of prompts. The approach involves capturing more than just mentions, differentiating between visibility and citation, and controlling test conditions for consistency. The goal is to identify durable trends by reviewing the evidence behind score changes and reporting actionable insights. AI
IMPACT Provides a framework for businesses to measure their visibility in AI search results, enabling better content strategy.
RANK_REASON Article describes a methodology for building a tool, not a release of a tool or a significant industry event.
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