<?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/1d0a5d2a315241cb92f62e88b37f3472&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/1d0a5d2a315241cb92f62e88b37f3472-43a92dbbd1f7e033.gif</thumbnail_url><duration>127.915</duration><title>Sentiment Maximizer for Peec AI</title><description>Today I demo Sentiment Maximizer. I show how PKI helps brands show up in AI Answers, and how as a marketer I can go deeper from brand visibility to product visibility and even feature visibility, using Nothing Phone 2 as an example. We see what people are saying, where the product gains or loses trust, and which features perform well or poorly, like design doing well and the camera not doing as well. The pipeline matches prompts, competitors, and sources, then scores text against product features and derives feature opportunities. There is one click to launch a campaign on Reddit or YouTube to validate those opportunities.</description></oembed>