<?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/0099b632347d442d97917d864a70e375&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/0099b632347d442d97917d864a70e375-a9bc3850ad3e064e.gif</thumbnail_url><duration>9096.426</duration><title>Thinking Day: </title><description>Hey team, in this Loom, I dive into my current thoughts on optimizing our AI environments and understanding how we&apos;re being found across platforms like ChatGPT, Claude, and Gemini. I share that AI environments now account for 8% of our pipeline and 5.6% of our total traffic, which is a significant increase from last year. I’m looking to develop a matrix that outlines how different AIs prioritize content based on various signals, and I’ll be collaborating with Maverick to gather insights for our next experiment. I encourage everyone to think about how we can refine our strategies and improve our visibility in these AI spaces. Let’s keep the conversation going as I’ll be adding more insights over the weekend!</description></oembed>