SaaStr 831: How We Use 20+ AI Agents for Marketing & Go-to-Market with SaaStr's Chief AI Officer and CEO & Founder artwork

SaaStr 831: How We Use 20+ AI Agents for Marketing & Go-to-Market with SaaStr's Chief AI Officer and CEO & Founder

The Official SaaStr Podcast: SaaS | Founders | Investors

November 26, 2025

SaaStr 831: How We Use 20+ AI Agents for Marketing & Go-to-Market with SaaStr's Chief AI Officer and CEO & Founder Join us for part two of our series on leveraging AI tools for Go-To-Market in B2B/SaaS.
Speakers: Jason Lemkin, Amelia Lerutte
**Jason Lemkin** (0:01)
Welcome to The Official SaaStr Podcast, where you can hear some of the best SaaStr speakers. This is where the cloud meets. Up today on the SaaStr Podcast, all these agents are getting better. We have 20 in production. Here's the thing. This includes Replet, this includes Opus, this includes Agent Force, and Artisan, and Qualified, all the tools we love to death. They automate a lot of stuff. They might even automate 95% of what you used to need a team to do. They don't automate everything. Here's the problem. As great as these tools are, they do not enable lazy marketing. What they enable is better marketing and much more of it. Everyone wants an autopilot. Everyone wants to buy a tool and disappear. It does not work that way. You can have crappy output, you can have crappy LinkedIn posts.
Hey, everybody, it's SaaStr. Connect data, automate busy work and empower teams like nobody's business with the one platform that grows with you every step of the way. Learn how Salesforce works for startups at salesforce.com/smb. That's salesforce.com/smb.

**Amelia Lerutte** (1:19)
Hey, SaaStr. Imagine having agents for every support tab. One that triages tickets, another that catches duplicates, one that spots churn risks. That'd be pretty amazing, right? HappyFox just made it real with Autopilot. These pre-built AI agents deploy in about 60 seconds and run for as low as two cents per successful action. All of it sits inside the HappyFox Omnichannel AI First support stack. Chatbot, Copilot, and Autopilot working as one. Check them out at happyfox.com/saastr.
So thanks all for joining us here. We thought we would do a part two to what we started last week. If you didn't see it last week, that's okay. We'll cover some of it here and do a refresher. We primarily focused on sales and specifically outbound all of our AISDR agents. So what I thought we would do today is start with marketing, and then we'll kind of circle back to a few things we didn't get to in broader go-to-market, just in what's working now for us at least as our AIs running our go-to-market teams and we have more agents than people here at SaaStr. So thought we would go through that sort there. One thing I'll preface for everyone, if you haven't seen this yet, or you missed this last time, if you do go on saastr.ai/agents, this will reference a lot of the things we talked about last week and this week in the two parts for go-to-market. So this is our agent arsenal, as it says. A lot of these tools are third-party tools. Some of them have a little bit of proprietary stuff in them. There's the proprietary apps we've vibe coded, but this has the whole guide there. So if you're looking for certain tools we message or drop in or show screenshots of, and you want to refer back to them, they're all there just to make it easy for you. So with that, let's dive into marketing a bit, just because we didn't get to it. And I feel like it's an important topic, and before we get more tactical with it, since we have a little bit of time, Jason, I want to get your thoughts on what you're seeing here as well. I think this is a study I referenced last week as well. This is from Rory and Skilled Venture Partners, is a state of AI go-to-market study that just came out. It's a pretty good one. I wanted to call out a few things in marketing, and I think they're interesting to me slash us. Because I feel like for marketing in particular, folks seem to be more behind than they are in sales or support. I actually anecdotally don't know why that is. I don't think it's because there's a lack of tools, which a lot of folks will point to. I don't think that as you'll see in our next few slides, there's plenty of tools we're using in marketing and that are working well. I think it's just a little bit interesting here to see the data that most folks are just using AI in marketing for things like messaging. Okay, fine, but everyone's done that now, right? Chat TVT. During research, I feel like, yeah, that's a little bit more in the weeds, maybe a little bit more specialized. But most people have not done these phase, what they're calling phase two use cases, which is actually analyzing marketing campaign data and spend, whether it's in-house or with third-party agencies, actually using it to be creative. I think, I don't know where this stigma has come from, but that the AI is not that creative or that all the AI content comes out the same. I feel like those are also two schools of thoughts that we've myth-busted on. Then for things like enriching and scoring. As we talked about a lot last week and just how we're running some of our go-to-market through these agents with sales in particular, a lot of that is still relevant to marketing. I think that's maybe a conversation we can have at the end of, what does this all mean for the two separately and then together? But I think it's something where so many of these platforms and maybe they were built for sales, but you can actually use for marketing, which I'll show.

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