<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/31ca440dea904bafb4ca43146d4da0e0&quot; frameborder=&quot;0&quot; width=&quot;1316&quot; height=&quot;987&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>987</height><width>1316</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>987</thumbnail_height><thumbnail_width>1316</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/31ca440dea904bafb4ca43146d4da0e0-d24a1be80893eb9f.gif</thumbnail_url><duration>271.151</duration><title>AI Entity Visibility Scan and Website Audit</title><description>This Loom demonstrates how to run an AI retrieval scan to assess an organization’s entity visibility and signal fragmentation. The creator explains copying and pasting a prompt into AskGemini and running it against a connected website to generate an executive summary of how AI identifies the site and where flaws exist. They compare results from an existing site that showed no rich results to a rebuilt site intended to connect core entity nodes such as verified intellectual property, locations, reviews, and videos. The goal is to effectively “turn on the lights” so the business is visible across the web after launch.</description></oembed>