<?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/10defc11ef9c40e1b92207c53827481a&quot; frameborder=&quot;0&quot; width=&quot;1152&quot; height=&quot;864&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>864</height><width>1152</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>864</thumbnail_height><thumbnail_width>1152</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/10defc11ef9c40e1b92207c53827481a-57f37cb295a25e44.gif</thumbnail_url><duration>140.309</duration><title>Understanding Brand Sentiment Analysis with OtterlyAI</title><description>In this video, I walk you through our brand sentiment analysis feature on Otter.li.ai. By examining the sentiment scores, we can see how brands like Nike and Adidas are perceived, with Nike showing a positive sentiment overall. I demonstrate how we can drill down into specific prompts, such as &apos;analyzing the best running shoes,&apos; to compare our brand&apos;s sentiment against competitors. This analysis not only provides insights into our current standing but also highlights areas for optimization. I encourage you to explore these reports to better understand our brand&apos;s portrayal and identify opportunities for improvement.</description></oembed>