video1.0<iframe src="https://www.loom.com/embed/b4a48cf025764d0dbfa3e746c04a4eae" frameborder="0" width="1162" height="871" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>8711162Loomhttps://www.loom.com8711162https://cdn.loom.com/sessions/thumbnails/b4a48cf025764d0dbfa3e746c04a4eae-b7d9287b945025ba.gif114.606This Loom introduces SignalRank, an AI visibility auditing tool that analyzes how AI assistants might interpret and recommend a company from its landing page copy or a provided URL. It explains a pipeline that extracts and cleans site content, runs a structured LLM analysis, validates the output using Zord, and produces a deterministic weighted aggregation score rather than relying entirely on the model. The dashboard evaluates five dimensions: category clarity, recommendation text, differentiation, identification, trust evidence, and citability, and surfaces key findings like misunderstandings, missing context, and recommendation blockers. It also includes a rewrite section that explains the reasoning behind changes while intentionally avoiding them.