<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Google Ads on myvirtualcloud.net</title><link>https://myvirtualcloud.net/tags/google-ads/</link><description>Recent content in Google Ads on myvirtualcloud.net</description><generator>Hugo</generator><language>en-us</language><copyright>Andre Leibovici</copyright><lastBuildDate>Mon, 11 May 2026 09:00:00 +0000</lastBuildDate><atom:link href="https://myvirtualcloud.net/tags/google-ads/index.xml" rel="self" type="application/rss+xml"/><item><title>How I Built ASI's Marketing Engine Around AI Agents</title><link>https://myvirtualcloud.net/how-i-built-asis-marketing-engine-around-ai-agents/</link><pubDate>Mon, 11 May 2026 09:00:00 +0000</pubDate><guid>https://myvirtualcloud.net/how-i-built-asis-marketing-engine-around-ai-agents/</guid><description>&lt;p&gt;This is a long one, and I mean that as a recommendation rather than a warning. Most of what gets written about AI in marketing right now skips the part that actually matters — the specifics: what broke, what surprised you, what you'd do differently. This piece doesn't skip it. If you're building something similar, or wondering whether any of this is real, I think you'll find it useful.&lt;/p&gt;</description></item></channel></rss>