Best of LinkedIn: Go-to-Market CW 40/ 41

00:00:00: Provided by Thomas Allgaier and Franias, based on the most relevant LinkedIn posts about go-to market in calendar weeks.

00:00:06: forty and forty one.

00:00:07: Franius is a B to V Market research partner helping ICT and tech providers identify niche channel partners by compressing The full journey from identification To qualified first meeting into four or five weeks.

00:00:19: you can find more info In the description.

00:00:21: Yeah So we are looking at the top GoToMarket trends across linkedin right now.

00:00:26: And uh It's A lot

00:00:28: it really Is.

00:00:29: i mean for the strategic B-to-B marketing professionals joining us today.

00:00:33: Our whole mission here is just cutting through the noise.

00:00:36: Exactly, because there's so much of it out there right now

00:00:39: So much noise.

00:00:40: We're trying to understand these really rapid shifts in GTM tools AI agents The completely new roles running them

00:00:48: Right And

00:00:48: why at the end of day human strategy still absolutely drain supreme.

00:00:53: It's basically a massive structural shift happening right under our feet.

00:00:56: Yeah,

00:00:57: it is okay Let's unpack this.

00:00:59: I want to start with the sheer weight of the tech stack right

00:01:01: now.

00:01:03: Oh The tool fatigue is real?

00:01:04: It's so real.

00:01:05: there's this huge tension between tool fatigue and actual stack innovation.

00:01:11: like Kevin Payne posed This challenge on LinkedIn recently And it's such A good stress test.

00:01:17: What was the challenge.

00:01:19: he asked Basically if you had To run your entire pipeline on just one tool, which one actually survives?

00:01:26: Wow.

00:01:27: Yeah that is a tough one because the modern go-to market stack is so bloated right now

00:01:33: massively.

00:01:34: Mike Rizzo actually brought this up recently.

00:01:36: he was observing this dynamic at The Unbound twenty six conference.

00:01:39: okay He was in her room with roughly forty marketers like GTM leaders and he realized out of those forty people only one literally ONE person could actually name the human being in charge of their overarching GTM tech stack.

00:01:54: Wait, really?

00:01:55: Just one!

00:01:57: It's this massive ownership vacuum.

00:02:01: That's crazy.

00:02:02: I mean it's like buying a state-of-the art smart home but no one actually knows who holds the master remote.

00:02:07: that is The perfect way to describe it

00:02:09: right.

00:02:10: Faber Zaresti Actually did break down on this showing A modern gtm stack that spans seven different tool categories Seven

00:02:17: yeah its out of control.

00:02:19: how are teams avoiding just you know, completely drowning in all this software.

00:02:24: Well they're starting to push back.

00:02:26: there's a growing counter movement that David Arnoux has been talking about arguing the future is actually headless.

00:02:32: Headless?

00:02:33: Like no interface.

00:02:35: Exactly Running your entire GTM out of command line.

00:02:38: or maybe conversational interfaces instead bloated CRM.

00:02:43: So how does it even work.

00:02:45: You basically use data hub he mentioned superbase To act as absolute source.

00:02:50: truth and you just query it.

00:02:52: Got it, so you're not clicking through twenty different dashboards?

00:02:55: Right Charles Maddock took this even further.

00:02:58: he noted that especially for smaller teams if you combine a really capable AI agent with Google Sheets It is often vastly cheaper and frankly better than traditional feature heavy CRM.

00:03:10: I can totally see that.

00:03:12: but since these tools are either consolidating or going completely headless The real battle is obviously moving to the brains actually operating them, right?

00:03:21: The AI agents.

00:03:22: Yes and what's fascinating here Is how the battleground is shifting toward What people are calling GTM context

00:03:29: a gtm Context.

00:03:31: yeah Adam Schoenfeld and Henry Shuck were pointing this out.

00:03:34: They're saying context as the new vendor Battleground because an agent is well It's completely useless without a context graph beneath it.

00:03:42: okay unpack that of it.

00:03:43: our contacts graph.

00:03:44: Right, it's the layer that connects the entities.

00:03:47: The employment histories...the past activities.

00:03:50: It is not just a flat list of names-it understands the relationships.

00:03:54: But let me ask you this Are we building more complex Rube Goldberg machines here or are these agents actually driving real revenue?

00:04:01: They're absolutely driving revenue.

00:04:04: Actually our trip shared some hard data on this from Dreamforce.

00:04:07: Oh nice!

00:04:08: What did she find?

00:04:09: She shared how Salesforce and Clay collaborated using Prospect Optimization.

00:04:13: They turned thirty thousand MEMA SMB accounts into thirteen million dollars of pipeline.

00:04:20: Thirteen million?

00:04:21: Yep,

00:04:21: And they did it in under two months.

00:04:23: Oh wow

00:04:24: that is insane scale

00:04:25: Right?

00:04:26: L'Oreal Lynch noted something similar.

00:04:28: she said cursor lifted their qualified Pipeline by thirty three percent just By building an AI native GTM stack.

00:04:34: The Scale Of This Automation Is Just.

00:04:37: It's hard to wrap your head around sometimes.

00:04:39: I saw Akash Kushwaha share this clog-powered playbook recently.

00:04:42: Oh, the multiagent one?

00:04:44: Yes!

00:04:44: it runs an entire GTM launch end-to-end.

00:04:48: It uses over twenty specialized agents doing everything.

00:04:51: Twenty

00:04:51: Yeah

00:04:52: like from market mapping To drafting the copy... ...To doing automated win loss reviews based on call transcripts.

00:04:58: That is wild.

00:04:59: Literally An entire marketing department in the background

00:05:02: Exactly.

00:05:04: Hey, by the way if you're finding this breakdown helpful for your own GTM strategy make sure you subscribe so You don't miss our future deep dives.

00:05:10: We're covering stuff like This all The time.

00:05:12: definitely.

00:05:13: and to round out that whole theme on agents Francois defeat recently launched pancake pancake.

00:05:18: right yeah It's an mcp native agentic gtm platform model context protocol.

00:05:24: And the crazy thing it grew from zero To two hundred paying customers in just six weeks of its public beta.

00:05:29: Six Weeks.

00:05:30: That Just Proves The Demand Is There.

00:05:32: but Okay, this leads me to a huge question.

00:05:34: Yeah So who is actually managing all these AI agents and headless stacks?

00:05:39: I mean enter the most debated new role in tech right now The GTM engineer.

00:05:44: oh it is so heavily debated.

00:05:46: Jonak van schick was outlining the new structure for this.

00:05:49: Right he says the modern revenue team has basically split into three distinct jobs.

00:05:53: Now

00:05:54: okay what are they?

00:05:55: first the gtm engineer Who builds the ai workflows and manages the systems.

00:06:00: Second, the SDR but they just create and manage the human conversation.

00:06:04: Got it.

00:06:05: And third The account executive who actually closes the deal.

00:06:09: Okay On paper that sounds great But there is so much pushback on this right

00:06:14: now.

00:06:14: Oh totally

00:06:15: Like Nick Zekitz was arguing that rushing out to hire a GTM engineer might be a massive mistake

00:06:21: Really?

00:06:22: Yeah why?

00:06:23: Because according to data Just three percent of people with that title have ever held a revenue leadership role

00:06:30: Three percent.

00:06:31: Wow, so what were the rest of them doing?

00:06:34: Most of them are just SDRs or CRM admins who got really good at Zapier

00:06:40: Right see the problem right.

00:06:41: it's like having a brilliant mechanic build a formula one car But they've never actually driven on a track Like you know how the engine works but they don't know what it takes to actually win a race.

00:06:50: that makes a lot of sense And I think that's exactly why Drew Teller made this really bold prediction recently.

00:06:55: What

00:06:55: did he say?

00:06:56: He said the GTM engineer title will be completely dead in eighteen months.

00:07:00: Dead, yeah!

00:07:01: In eighteen months...that's huge

00:07:02: Yeah..he argues it was mostly just a branding move to get the tool clay adopted.

00:07:07: and his point is at the tech stack changes so incredibly fast.

00:07:10: you can't build a career on skill set with like....a twelve month half-life.

00:07:14: That's a solid point.

00:07:16: Psycho Goyle actually debating whether even need a full time GTME.

00:07:21: He said if a company is still figuring out its core motion, he would absolutely still hire an SDR first.

00:07:26: Exactly because If you don't have the motion figured out automating it just helps You fail faster.

00:07:30: yes Which honestly transitions us perfectly to The final and I think the most crucial theme here

00:07:36: the human element.

00:07:37: Yes?

00:07:38: You can Have the best headless stack you Can have twenty clawed agents whatever but if your strategy ignores the Human Element the psychology It completely fails.

00:07:46: it Absolutely does.

00:07:47: Brian Murphy was talking about this.

00:07:49: He called it his hill to die on.

00:07:51: I love that.

00:07:52: What's the hell?

00:07:53: That GTM does not create demand.

00:07:55: Say that again for the people in the back,

00:07:57: right?

00:07:58: Demand starts with a buyer's problem.

00:08:00: sending ten thousand automated emails using these snazzy AI workflows It is NOT going to magically make a buyers problem ten times more urgent!

00:08:09: Okay.

00:08:09: so what does all mean?

00:08:11: how do we actually use this stuff?

00:08:13: Well, Brandon Redlinger gave some great advice on this.

00:08:15: He said GTM engineering shouldn't be about just blasting out more emails.

00:08:20: It should be used to get more replies from fewer emails.

00:08:23: Oh I like that

00:08:24: Precision over volume

00:08:25: exactly

00:08:26: and Ronit Yawalkar actually proved this out.

00:08:28: they captured thirty-seven new logos recently.

00:08:31: Thirty

00:08:31: seven mm-hmm.

00:08:32: Just by sending fewer e-mails.

00:08:34: not just fewer E-miles but by acting on overlooked signals Like monitoring website visitors who didn't fill out a form or tracking very specific job postings.

00:08:44: They use the tech to be precise, not

00:08:46: loud.".

00:08:47: That is exactly how this should have used?

00:08:49: Yeah.

00:08:49: Suri Chowla kind of synthesized this whole big picture perfectly.

00:08:54: he noted that we are actually entering The Fourth Era Of GTM.

00:08:59: Okay walk me through them.

00:09:00: so the first three were relationships then scale and Then systems.

00:09:05: right

00:09:05: CRM era

00:09:06: Exactly.

00:09:08: But now?

00:09:09: Now we are in the era of trust.

00:09:11: Because think about it, when every single company can deploy an AI agent to send ten thousand flawless emails volume is just table stakes.

00:09:19: now It's no longer an advantage.

00:09:21: That is such a good point.

00:09:23: If everyone could do that means nothing.

00:09:24: Right Credibility, peer proof and actual outcomes...that Is what actually wins.

00:09:30: now

00:09:31: It all comes back to Trust

00:09:32: Always And I want to leave everyone listening with a final thought, to really mull over as you look at your own strategies this week.

00:09:38: Let's hear it!

00:09:39: When AI can perfectly automate your outreach and will Your only true competitive advantage is the one thing AI simply cannot fake... ...and that is your deep empathetic understanding of your buyer s actual pain.

00:09:53: That is incredibly well said.

00:09:55: If you enjoyed this episode, new episodes drop every two weeks.

00:09:59: Also check out our other editions on field marketing channel and partner marketing AI in B to be more tech ABM and social selling.

00:10:06: Thanks so much for hanging out with us On This Deep Dive.

00:10:09: Yeah Thank You All For Listening And Don't forget hit that subscribe button.

00:10:12: See ya next time.