www.gtmaipodcast.com www.gtmaiacademy.com

www.thrivestack.ai

Guru Linkedin: https://www.linkedin.com/in/gururajp/

For the goodies, the Newsletter breakdown, and playbook go to www.gtmaipodcast.com

A bootstrapped founder replaced his AI SDR budget with a $3.5K newsletter engine. The ROI: 551%. In this episode, Guru Raj (Founder & CEO of ThriveStack.AI) breaks down the exact content-to-pipeline system that gets buyers 80% of the way to purchase before a single demo call.

Guru built two VC-backed startups before this. Both acquired. Both burned 60-65% of all spend on GTM. His third company is fully bootstrapped, and the GTM engine he built should make every funded startup nervous.

We cover:

Key metrics from the episode:

📩 Get the free Content-to-Pipeline Playbook in our newsletter: www.gtmaipodcast.com

🔗 ThriveStack.AI: https://thrivestack.ai

⏱️ Timestamps:

🎙️ GTM AI Podcast

Subscribe for weekly episodes.

#GTMAI #B2BSaaS #RevenueOperations #ContentMarketing #AIinGTM #SaaS #StartupGrowth #ProductLedGrowth #EmailMarketing #ChurnReduction

Sendoso fired 73% of their BDR team. Pipeline DOUBLED. Here's exactly how they did it.

www.gtmaipodcast.com www.gtmaiacademy.com

For SaaStr: https://www.saastrannual.com and get a coupon code talking to Amelia AI! or use the code: February26 before March 1 (or Amelia AI after March 1)

For Amelia linkedin: https://www.linkedin.com/in/amelialerutte/

Amelia LaRute went from running SaaStr's demand gen and events to becoming their Chief AI Officer. In 8 months, she deployed 20+ AI agents across sales, marketing, events, and support, generating $5M in additional pipeline and closing $2.4M of it. SaaStr now operates with 3 humans, 1 dog, and an army of agents.

In this episode, Amelia breaks down:

Whether you're deploying your first AI SDR or managing a multi-agent stack, Amelia's playbook is one of the most practical, real-world implementations we've featured on the show.

🎙️ Guest: Amelia LaRute | Chief AI Officer, SaaStr 🏆 GTM AI 25 Award Winner (Ones to Watch)

⏱️ Timestamps:

00:00 - Intro & Amelia's background

03:00 - From SVP to Chief AI Officer: the journey

06:45 - Overview of SaaStr's 20+ AI agents

08:00 - The AI SDR stack: AgentForce vs. Artisan

14:00 - How to think about splitting leads across agents

16:00 - The Zapier workflow connecting all agents

19:00 - Managing multiple agents day-to-day

23:00 - Results: $5M pipeline, 2.4M closed, doubled win rate

25:00 - Inbound agents: Qualified and Amelia AI

30:00 - Momentum.io for real-time sales intelligence in Slack

36:00 - Live demo: vibe-coding a sponsor portal

40:00 - The 90/10 rule: buy vs. build

46:00 - SaaStr Annual 2025: what's new

52:00 - What keeps Amelia going

🔗 Links & Resources:

→ SaaStr: https://www.saastr.com

→ SaaStr Annual (May 2025): https://saastrannual.com

→ GTM AI Podcast: https://gtmaipodcast.com

→ GTM AI Academy: https://gtmaiacademy.com

→ AI Business Network: https://aibusinessnetwork.ai

Tools mentioned: Salesforce AgentForce, Artisan, Qualified, Clay, Zapier, Gamma, Replit, Delphi, Claude, Momentum

#GTMAI #AIAgents #SaaStr #RevOps #SalesAI #AIinSales #GTMStrategy #AISales #VibeCoding #B2BSaaS

GTM AI Podcast: www.gtmaipodcast.com

Steve Cunningham / Humans Plus Agents: https://humansplusagents.ai/

Steve Cunningham built a 10-year business around being the best in the world at summarizing business books. Then AI did it in 5 minutes. Instead of fighting it, he burned it down and rebuilt. Now he runs an AI agent operation inside Claude Cowork where 30 minutes of his time replaces 70 man-hours and $14,000 of agency work.

In this episode, Steve walks through his exact setup: the folder structure that treats AI like a company, why HTML is replacing every other file format, the invoice method that rewires how you plan, and the overnight improvement loop that makes his system better while he sleeps.

Plus, Steve is offering GTM AI Academy listeners access to his Black Belt AI Workflow Engineering training. Link in the show notes.

🔗 LINKS & RESOURCES

GTM AI Podcast: www.gtmaipodcast.com

Steve Cunningham / Humans Plus Agents: https://humansplusagents.ai/

📌 TIMESTAMPS

www.gtmaipodcast.com www.gtmaiacademy.com www.aibusinessnetwork.ai

For more From our Guest Scott Ewalt: https://www.cardinalelement.com/

Or his Linkedin: https://www.linkedin.com/in/scottewalt/

Most competitive intel sits on shelves collecting dust while your competitors ship faster.

Your team spends weeks building battle cards. By the time they reach your reps, your competitor has shifted messaging. You find out three deals later when someone mentions it in a loss review. Your head of sales asks why competitive enablement is always behind. You don’t have a good answer.

Scott Ewalt just demonstrated building a competitive intelligence engine from scratch in 4 hours. Zero Python experience. No developer hire. Just Claude Code and a clear outcome: turn scattered competitive signals into queryable intelligence.

The result: 91 podcast episodes transcribed, where he uses our own podcast as the source, stored in a vector database, with a custom web UI that surfaces strategic insights competitors broadcast publicly but you’ve never synthesized.

Guest: Scott Ewalt - Former product, marketing, and CX operator who’s spent his career finding “unfair advantages” through technology. Not a developer. Never wrote production code. Didn’t open a terminal before Q4 2025.

The Demo: Building a competitive intelligence system that:

Transcribes and stores 91 podcast episodes (81.2 hours of content)

Creates a queryable vector database with zero hallucinations

Builds a custom web interface for team queries

Returns specific quotes with episode citations and timestamps

www.gtmaipodcast.com www.gtmaiacademy.com www.aibusinessnetwork.ai

www.mindstudio.ai

5 AI Workflows MindStudio's GTM Leader Runs Daily to 3x Pipeline

Most partnership and sales teams spend 60% of their week on research, prep, and administrative friction. The top 5% automated all of it.

In this episode, I sit down with Dannielle Sakher, VP of GoToMarket at MindStudio.ai, who walks through the exact AI agent workflows she uses to close enterprise partnerships and deals. Not theory. Pure execution. These are the agents running behind the scenes at one of the fastest-moving AI platforms right now.

What You'll Learn:

The Big Insight: Dannielle isn't automating busywork. She's automating the high-value activities that made her successful in the first place. Personalized research, deep prep, creative pitch assets. Most people stop doing these when they get promoted because there's "no time." She built agents to do them at scale.

Try All 5 Agents (Free) on the newsletter at www.gtmaipodcast.com

Resources:

Connect with Dannielle Sakher:

About GTM AI Academy:

Timestamps:

🎙️ www.gtmaipodcast.com 🎓 www.gtmaiacademy.com 🤖 www.aibusinessnetwork.ai

The 5-Part Prompt Framework That Saves GTM Teams 15+ Hours Weekly

Most GTM teams are still building complex workflows in Zapier when they could just describe what they want and let AI execute it.

In this session, we demonstrate the shift from workflow builder to workflow director. The 5-part prompting framework (Objective, Constraints, Inputs, Output, Evaluation) that turns hours of technical setup into minutes of natural language.

We show live examples:

The constraint isn't technical capability anymore. It's knowing what's possible.

What workflow are you building manually that you could just describe instead? Drop it in the comments.

#GTM #AIAutomation #RevOps #WorkflowAutomation

Kept it under 200 words, action-focused, with clear value proposition.

GTM AI Podcast www.gtmaipodcast.com

Guest: Justin Parnell (JustinGPT)

📬 Full breakdown + resources: www.gtmaipodcast.com
Justin's site: https://www.justingpt.ai/ | YouTube: https://www.youtube.com/channel/UCov4kN0lK2A6O95ykql7cnQ

Justin Parnell breaks down how to transform static PDFs into AI-powered, personalized lead magnets that adapt to each prospect's specific needs—automatically. Instead of sending everyone the same generic deck, his automation reads form submissions and generates custom branded proposals using Claude Opus 4.5, Gamma, and Make.com. The whole thing runs in under 60 seconds, costs about 20 cents per prospect, and his clients are seeing 30% increases in MQL-to-SQL conversion rates. As Justin puts it: "Who wouldn't spend 20 cents to send an MQL a customized piece of content and enhance those conversion rates?" The magic is in Claude's "Skills"—custom instruction sets you create once that Claude follows perfectly every time, eliminating the need for prompt engineering on each run.

The conversation got really interesting when we discussed agent-to-agent GTM. Justin predicts that within 18-24 months, buyers will deploy AI agents to evaluate vendors and compare proposals without human involvement until final decision time. His philosophy: "Create agents that do specific things and chunk those things out. Don't try to build one massive agent—build focused micro-agents that do one job exceptionally well, then chain them together." This isn't some crazy complex automation—it's six workflow steps doing one thing exceptionally well: making prospects feel understood before they ever talk to sales. Beyond lead magnets, this same framework works for post-demo follow-ups, competitive battle cards, role-specific buying committee decks, event recaps, and sales proposals. Get the full technical breakdown, Make.com blueprint, and all five use case playbooks at www.gtmaipodcast.com

www.gtmaiacademy.com www.gtmaipodcast.com www.aibusinessnetwork.ai

YouTube Description

Google's AI Is Judging Your AI: The Email Deliverability Wake-Up Call Every Sales Team Is Missing

Every third email you send lands in spam. That's 40-50% of your pipeline that never even sees your outreach.

In May 2024, Google quietly switched to AI-based spam detection. Not keyword filters. Not rule-based systems. Actual AI deciding whether your AI-written emails sound human enough to reach an inbox.

Most sales teams have no idea this happened. They're still running the same playbook while their domain reputation burns.

Anastasiia Ivannikov, CEO of Folderly and former sales leader at unicorn Macpaw, breaks down exactly what changed and what to do about it. We get into the mechanics—spintax, sending velocity, behavioral signals—and the bigger strategic problem: teams using AI as a brain replacement instead of a thinking partner.

If you're running outbound, managing SDRs, or building AI-powered GTM motions, this one's required listening.

TIMESTAMPS

0:00 - Intro

KEY TAKEAWAYS

→ Google switched to AI-based spam detection in May 2024

CONNECT

Anastasiia Ivannikov: https://www.linkedin.com/in/anastasiia-ivannikova/

Coach K (Jonathan Kvarfordt): https://www.linkedin.com/in/jonathankvarfordt/

SUBSCRIBE for weekly conversations with GTM leaders on AI, sales, and revenue operations.

Drop a comment: What's your current email deliverability rate? Most teams don't even know

www.gtmaiacademy.com www.aibusinessnetwork.ai

Ghost Team co-founder Elliot Garreffa breaks down why most companies struggle to see ROI from AI—and what to do about it. This conversation cuts through the hype to reveal the unglamorous truth: successful AI implementation isn’t about buying licenses or running proofs of concept. It’s about understanding your actual workflows, identifying where AI creates 10x (not 2x) improvements, and building systems that your teams will actually use. Elliot shares real examples of SEO systems that compress months of agency work into minutes, and explains why human-in-the-loop isn’t a compromise—it’s best practice.

“If you just go and prompt an LLM and try to create some content, it might make incremental improvements, but it’s actually not that good. Where we come in is building systems that create 10x, 100x improvements.”

“You have to really understand the problem before you tackle it. Any good technology implementation does that step upfront, and we’ve found it incredibly true for the AI space.”

“Don’t think about using AI to do this part of this process. You can just do an entirely different process. That gets far better results than just slapping things on top.”

“The kind of thing that would’ve taken months to get back from an agency—we’re doing it directly within the chat window. That obviously changes a lot in terms of a typical process.”

“When you add that human touch, it is significantly better. Regardless of how much training data you have, you can still really tell whether something has been AI-generated or not.”

“One of the best things you can do when first getting started: look at things you’re spending a huge amount of time on. Focus on automating those first. They save you time, which means you can focus on more valuable tasks.”

“People see these workflow automations on LinkedIn and they want them. But whether these systems work is all about the detail under the hood—the prompting, the training data, the customization to your brand.”

This conversation goes deep on MCPs, context engineering, and the technical stack that actually delivers results. Listen to the full episode to hear Elliot walk through a live demo of automated SEO research and strategy that would take traditional agencies weeks to produce and learn why starting with Lindy or n8n beats jumping straight to building custom SDR systems.