Eric Siu shows how Muse agents pull competitor ads from Meta's Ad Library to reverse-engineer their offers. He demonstrates analyzing Hormozi's free-agent magnet and Ryan Deiss's Scalable OS, then generating your own productized offers, bundles, and frameworks in minutes instead of hours of manual research.
Muse agents are absolutely wild if you use it to scale your Meta ads. Because it's connected to Ad Library and it's connected to Meta ads, you have a lot of wiggle room here and it's able to cross-reference a lot of data from WhatsApp, from Facebook, from Instagram, and so on. So you can see here, I'm just looking at a few offers that it's calling out and says, oh, this company over here, ROI in 90 days where you don't pay, and it's been running for 4.5 months. That's pretty good. The fact that the ad's been running for a while means they're either dumb or they're ads really working, right? Second one, this one's hire an employee, not another tool. And this has 200 ads over here and this company has 920 ads. That's cool. So it does an analysis. It's looking at, oh, Hormozi is doing this free agents magnet to drive to their paid intensives. Ryan Deiss is doing the Scalable OS certification. So there's a lot there to work with, right? Instead of me having to go into the ad library and then do all this analysis on my own, I can then say, I can ask it more questions and say, hey, you know what? Instead of having you draft it for me, I actually want you to come up with more ideas For my company based on what we sell. And so you can see over here, oh, here's what we already have, right? So here's what we can build based on what we have already. So what we can do is the AI native marketing frameworks. Okay? So your actual 5 internal systems plus 2 to 3 of your bots as downloadable agents. That's not a bad offer. I think, I think we should offer that. Free Wedge, the single brain API gateway and ClickFlow MCP free forever, but they're only useful once your connectors are in. We should offer that one too. In fact, we can probably get more product qualified leads coming in. Right? The qualifier. Okay. A revenue per employee scorecard. 10 questions that benchmark the revenue per employee against AI-native peers and spit out the gap. This is pretty helpful because then we can also build a very, a nice dataset around what typical revenue per employee looks like and how that's been going over time. And we can kind of become the de facto company that's scoring around that, right? Or single brain pilot. We install your company brain in 30 days. Memory governance, security gateway connectors, guarantee AEO share of voice doubled in 90 days or the pilot. Like these are all really good offers. In fact, I might just copy this afterwards and share it with my marketing team. So go use MetaMuse, it's amazing. And follow for more on AI business and marketing.
