video1.0<iframe src="https://www.loom.com/embed/10d52f1fb6e54d6fbf5934e2a7fef998" frameborder="0" width="1720" height="1290" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12901720Loomhttps://www.loom.com12901720https://cdn.loom.com/sessions/thumbnails/10d52f1fb6e54d6fbf5934e2a7fef998-97f8fa9b36f7b890.gif787.712This Loom provides a quick walkthrough of Auxiliary AI’s dashboard for monitoring and optimizing AI search visibility. It explains how AI prompt research works, including three prompt-finding options (using SEO keywords, scanning a URL, or brainstorming from brand info), and notes that each prompt is tied to a specific country. The video then covers brand report monitoring metrics like brand coverage over time, illustrated with an example where 5 mentions out of 10 prompts equals 50 percent coverage, plus share of voice, filters, exporting reports, and prompt-level response and sentiment viewing. Finally, it outlines optimization with on-page and off-page tactics, content gap activities via citations, recommendations with to-do lists, agent analytics requiring connected logs, and on-page tools like a content checker and probability checker.