エピソード

  • How to Build the C Suite And GTM Leader AI Operating System
    2026/04/23

    www.gtmaipodcast.com For more from Ryan: https://superhumanrevenue.beehiiv.com/p/hiring-an-ai-transformation-leadAnd Ryans Linkedin: https://www.linkedin.com/in/ryan-staley/Ryan Staley built a division from zero to $30M with four salespeople and no marketing budget. He's taught 800+ CROs how to use AI. On this episode, he pulled back the curtain on the agentic operating system he built to run his entire business — from CEO decision-making to content creation to pipeline management — using Claude Code, Obsidian, and API-connected tools like Fathom and HubSpot.This wasn't theory. Ryan screen-shared his actual system, showed real outputs, and walked through the folder structures, memory layers, and agent orchestration that let him operate "at the speed of thought."

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    32 分
  • Clay Tutorial: How to Find B2B Buyers Who Actually Care
    2026/04/23

    www.gtmaipodcast.comArup Linkedin: https://www.linkedin.com/in/arupchakravarti/Most Clay users spend $2K/month to build prettier ZoomInfo clones. Arup Chakravarti is doing something different.Arup is a 20-year RevOps and Enablement veteran, Fellow at the Institute of Sales Professionals, and one of the sharpest operators in the UK GTM space. He spent the last two months going deep on Clay, not as a GTM engineer, but as an enablement brain. The result is a psychographic prospecting system that identifies sales leaders who actually care about developing their teams, not just ones who match a firmographic ICP.In this episode, Arup shares his live Clay build on screen. You'll see:How he built a UK Healthcare Providers list with confidence-scored strategic priority analysis (green/amber/red), pulled from the last 10 articles per company, parsed in JSON, and filtered into meaningful themes.The "PDP Advocacy" column. A psychographic classifier that scores every sales leader as a Strong / Moderate / Weak advocate for professional development based on their LinkedIn profile, posts, comments, and likes. This is the column most Clay users never build because they don't have the enablement lens to know it exists.The iteration that unlocked it. Arup initially scoped the prompt too narrowly ("advocate for the sales function") and broadened it to "advocate for professional development." One word change. Massively bigger qualified pool.Clay's hidden edge: the Google Maps integration that finds mom-and-pop businesses (lawyers, solicitors, local firms) who aren't on LinkedIn at all. If you sell to local SMBs, this is the unlock.Honest data: Clay vs. LinkedIn for employee count accuracy. Spoiler: Clay is closer to actual reported figures than LinkedIn for private companies, because LinkedIn inflates headcount through tagged resellers and influencers.Arup also shares his Clay difficulty rating (middle of the pack, "a little fiddly"), what he had to learn on the fly (JSON structures), and why Clay University is the free onramp most people skip.The throughline of the whole episode: the quality of your Clay output is capped by the domain expertise behind your prompts. A GTM engineer can build a bigger list. An enablement vet, a CS leader, or a product marketer can build a smarter one, because they know which soft signals matter.Connect with Arup: https://www.linkedin.com/in/arupchakravarti/Connect with Coach K: https://www.linkedin.com/in/jonathankvarfordt/CHAPTERS:00:00 — Intro and reunion with an old enablement friend02:25 — Arup's background: 20 years in RevOps, enablement, and the North London pivot04:05 — What you'll learn: Clay for GTM outreach from an enablement lens06:50 — How Arup describes Clay: the online spreadsheet that operates on itself09:35 — The Google Maps integration nobody talks about (mom-and-pop targeting)11:40 — The use case: UK Healthcare Providers + the ISP case study12:45 — The psychographic targeting breakthrough15:45 — Future trend: LinkedIn political drift and prospecting risk18:10 — LIVE: Walking through the UK Healthcare table19:20 — Pre-built Clay AI columns (the ones with the tiny hat logo)20:50 — JSON parsing and pulling thematic insights from the last 10 articles22:30 — Strategic Priorities with confidence scoring (green/amber/red)23:35 — Building the Sales Leaders sub-table24:00 — Data accuracy: Clay vs LinkedIn for private companies25:30 — The PDP Advocacy column (the one nobody builds)26:00 — Structured prompting inside Clay27:30 — Coach's take on context-in-prompt vs prompt bloat30:25 — Live email generation from the full signal stack31:10 — Email walkthrough: "Strengthening talent via strategic partnerships"31:40 — The honest answer on results (Arup hasn't operationalized yet)32:30 — Clay difficulty rating on a 1-10 scale33:55 — Wrap-up, next roles, and the 6-month follow-up pact

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    33 分
  • How to 10X Your Sales Team Without Hiring, Interview with David CEO of Spara.com
    2026/04/21

    www.gtmaipodcast.com

    www.spara.co

    To connect with David: https://www.linkedin.com/in/davidwalker4/

    David Walker is the co-founder and CEO of Spara, the conversational GTM agent platform powering inbound motions for some of the fastest-growing B2B companies.

    In this episode, he makes a case most GTM leaders are dodging: for the last 20 years, your revenue was capped by how many humans you could put on a phone.

    That constraint is gone. And if your front door is still a static website with a "Contact Us" form, buyers are already treating you like a dead end.

    David breaks down:

    Why the old front door (your website plus an SDR team) no longer matches how buyers actually buy

    The "10X Horsepower" thought exercise that reframes AI strategy from "automate a task" to "redesign the motion

    "Why 99% of Spara customers now lean INTO telling prospects it's AI (up from 50/50 at launch) and why buyers get MORE direct, not less

    Live demos: inbound web form to phone call in 2 seconds, agentic email that replies back at 11pm, prompt tuning with an AI that tunes your agent

    The Kayak vs Wedding Planner filter for deciding which GTM moments should be human and which should be AI

    Real customer results: 3X MQL rate, 80% drop in unqualified leads, doubled sales team headcount BECAUSE the agent worked

    Why narrow point-solution demos look sexier but platforms are what actually move KPIs (A/B testing tone and prompt down to conversion)

    Where the roadmap goes next: agent-to-agent selling, co-pilot reps, and browser/computer-use agents that actually run the demoIf you are rethinking inbound, debating whether to replace or augment your SDR team, or trying to figure out what a "GTM AI motion" actually looks like in 2026, this is the most direct, founder-grade breakdown you'll get.

    Timestamps:

    00:00 — Intro and who David is beyond the resume

    02:00 — The one takeaway: if you're not using conversational agents, you're missing the boat

    03:00 — The core problem: GTM has been capped by sales team capacity for 20 years

    04:15 — Why the old front door is no longer enough

    04:45 — What Spara is and who it's built for

    05:00 — Clay vs n8n vs Spara: how the market splits up

    06:00 — Agent-to-agent selling and the new top of funnel

    07:00 — LLMs as the new discovery layer and what that means for your website

    08:30 — Live demo: web form fills to phone call in 2 seconds

    09:45 — Why 99% of customers now say "this is AI" (up from 50/50)

    11:00 — Agentic email: replying at 11pm and progressing the deal overnight

    13:00 — Knowledge retrieval (RAG), prompting inside the product, and why "answering questions" is the easy part

    15:00 — Optimizing agents: prompt tuning, red-teaming, simulated personas

    16:00 — Post-sale and PLG upsell workflows across chat, email, and voice

    19:30 — The roadmap: sales rep assist, co-pilot agents, and browser/computer use for live demos

    22:30 — What Spara, Clay, and Agency do for David internally

    24:00 — The mistake David sees most: "I just want to automate one small piece"

    25:00 — The 10X Horsepower thought exercise

    28:00 — Kayak vs wedding planner: the hybrid motion filter

    31:00 — Case study: 3X MQLs, 80% drop in junk

    32:00 — Case study: doubled sales team BECAUSE the agent worked

    33:00 — Why point-solution demos mislead and platforms move KPIs

    34:45 — Close and where to find David

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    33 分
  • VP of Sales Built Custom AI Tools With Claude Code that Lifted Win Rate by 8%
    2026/04/09

    www.gtmaipodcast.com Marchelle: https://www.linkedin.com/in/marchelle-renee-mooney-87918a39/Mangomint: www.mangomint.comMarchelle Rooney didn't learn to code. She learned to talk to Claude Code. And now her non-technical sales team is building tools that make their engineering team do a double-take.In this episode, the VP of Sales at Mangomint ($25M ARR, salon and spa SaaS) shows exactly how her team:→ Built a custom LMS for product training using Claude Code + Notion MCP (no developers involved)→ Analyzed 212 BDR cold call transcripts in 3.5 minutes to rebuild their entire outbound playbook→ Created a Golden Script system that drove an 8% win rate increase (29% → 37%)→ Automated post-call task extraction and hardware ordering from call transcripts→ Solved a data import problem in one week that a senior engineer said was impossibleMarchelle's background: competitive dancer → precision haircutter → salon owner → hawking $2,200 hair extensions → VP of Sales at a vertical SaaS rocket ship. Her team runs a 2-day sales cycle and closes 20-30 new logos per month per AE.Her philosophy: "Micromanage the data, not the people." Give non-technical operators Claude Code and a mandate to find friction. The best solutions bubble up. Then engineering hardens what works.KEY TIMESTAMPS:0:00 - Intro + Marchelle's wild career path (salon to SaaS)8:00 - The custom LMS her Director of Onboarding built in Claude Code13:00 - Post-call automation: transcript extraction + one-click hardware ordering17:00 - The Golden Script project: analyzing transcripts to rebuild the sales playbook21:00 - 8% win rate increase results22:00 - BDR transcript analysis: 212 calls scraped in 3.5 minutes27:00 - Build vs. Buy: why she doesn't wait for vendor integrations31:00 - The junior analyst who solved the "impossible" import problem34:00 - Selective hiring: why she doesn't start with headcount plans37:00 - The daily AI discipline and the future of sales leadershipTOOLS MENTIONED:Claude Code (Anthropic)Notion (with MCP integration)Momentum (call intelligence)Nooks (dialer + sequencer)Avara (AI sales simulator)Mangomint (their product)#GTMAI #ClaudeCode #SalesLeadership #AITools #RevenueOperations #SalesEnablement

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    38 分
  • This AI Agent Builds Account Plans in 90 Seconds (Here's How)
    2026/03/24

    www.gtmaipodcast.com

    Account planning used to take 2 quarters of change management. Justin Driesse built a Notion AI agent that does it in 90 seconds. His CRO saw the output and asked, "Is this real?"

    In this episode, Justin Driesse (Director of Sales Enablement at Legora) walks through how he built an agentic account planning workflow using 5 chained prompts in Notion AI. No code required. No engineering team. Just a Notion page, clear prompting, and the right knowledge base already in place.

    We cover:

    • How the "Yes, Chef" agent generates detailed account plans with tiered stakeholder maps, competitive intel, and inline footnoted sources in 90 seconds
    • Why Notion is the ultimate RAG system (and how that changes the agent-building game)
    • The death of the 2-quarter account planning rollout
    • Why enablement needs to break up with content and focus on process
    • How Legora ran their Stockholm SKO with AI-generated team certifications built overnight from workshop content
    • The macro intelligence unlock: running agents across hundreds of account plans to find deal patterns before they close

    Justin's background spans teaching high school English, training accountants at a global firm, enablement at Amazon/Twitch, Slack/Salesforce, Writer, and now Legora. His perspective on compressing learning time with AI is one of the most practical I've heard.

    == CONNECT ==Justin Driesse on LinkedIn: https://www.linkedin.com/in/justin-driesse-361943159/Legora: https://legora.com/

    == GTM AI PODCAST ==Website & Podcast: https://www.gtmaipodcast.comSubscribe to the GTM AI Newsletter for weekly actionable intelligence on AI for go-to-market teams

    == ABOUT ==The GTM AI Podcast is where go-to-market leaders learn how to actually use AI to drive revenue, pipeline, and team performance. No hype. No fluff. Just what works.

    #GTMAI #SalesEnablement #AIAgents #AccountPlanning #NotionAI #GTMAIPodcast

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    39 分
  • How to Use AI to Find and Convert High-Intent Leads on LinkedIn
    2026/03/24

    https://www.gtmaipodcast.com https://www.gtmaiacademy.comRoman Linkedin: https://www.linkedin.com/in/rom%C3%A0n-czerny-11b773199/https://www.gojiberry.aiIn this episode, Roman walks through the entire system live on screen. You'll see how Gojiberry's signal agents identify warm leads in real time, how Claude ranks and personalizes every message, and the multi-channel marketing machine Roman runs across 7 LinkedIn accounts, 3 X accounts, YouTube, and Reddit.The numbers speak for themselves: 50% reply-to-blueprint rate, 70% demo close rate, 35% trial-to-paid conversion.Key takeaways from this episode:00:00 — Intro & Roman's journey from engineer to SaaS founder01:30 — What Gojiberry AI does and how it's different04:00 — Live demo: How AI finds and scores high-intent leads08:00 — Why Gojiberry vs. building your own with Claude Code09:00 — Signal agents: configuring ICP and intent tracking12:00 — The full funnel: leads → blueprint → demo → close14:00 — Conversion metrics breakdown (50% / 70% / 35%)15:00 — Multi-channel strategy: LinkedIn, cold email, YouTube, Reddit, X17:00 — Managing 7 LinkedIn accounts with AI content tools18:30 — Using Gemini + Whisper for content creation at scale19:00 — YouTube SEO hack: competitor review videos21:00 — AI agents talking to AI agents: the future of outreach24:00 — Why targeting active LinkedIn users doubles your results25:30 — The blueprint strategy: give value before asking for demos27:00 — How a lead magnet went viral and became Gojiberry's growth engine🔗 Resources:→ Gojiberry AI: https://gojiberry.ai→ Coach K's viral LinkedIn post about Gojiberry + Cowork: [link]📩 Want the AI Lead Gen Blueprint?Download our free guide on how to use AI to find, score, and convert high-intent leads across every organic channel. Get it at www.gtmaipodcast.com🎙️ GTM AI Podcast Subscribe for weekly episodes on AI-powered go-to-market strategy.#AILeadGeneration #LinkedInOutreach #GTMAIPodcast #SalesAI #Gojiberry #B2BMarketing #ColdOutreach #AIForSales

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    29 分
  • The Cowork GTM Playbook: 3 Claude Cowork Workflows to supercharge your revenue team
    2026/03/13

    www.gtmaipodcast.com www.gtmaiacademy.com

    Find Victor on LI: https://www.linkedin.com/in/victoradefuye/

    Newsletter: https://superintelligentsales.beehiiv.com/

    Victor website: www.dana-consulting.com

    Victor Adefuye built 7 Make.com automations FAST. He's not a developer. He used Claude Cowork.

    In this episode, Victor (former MD at Winning by Design, now running Dana Consulting) walks through 3 live workflows that show what's actually possible when you combine 10+ years of GTM enablement expertise with agentic AI:

    What you'll see:

    🔍 Lead Research & Prioritization at Scale Victor feeds 360 conference leads into Cowork, which spins up parallel sub-agents to research 15 companies simultaneously, scores them against his ICP, and writes personalized nurture emails pulling from his 110-page content library. The prompt? Three sentences.

    📞 Mass Call Analysis with MEDDPICC Scoring A custom skill scores 7+ sales calls in parallel using a calibrated 0-2 scoring system. Individual scorecards with timestamps and direct quotes. A synthesis report showing team-wide skill gaps. What used to take days happens while you grab coffee.

    ⚙️ Building Make.com Automations (Zero Code) Victor gave Cowork a folder of automation ideas he brainstormed over Christmas. It reviewed them, picked the ones it could build, opened Make.com in the browser, and started configuring modules. Call transcript processing, trigger-based prospecting for newly hired CROs... all built through conversation.

    Key insights discussed:

    • Why enablement professionals are the best-positioned to build AI agents
    • How skills (packaged expertise) make 3-sentence prompts more powerful than 3-paragraph ones
    • Why parallel sub-agents change the math on what's possible at scale
    • The case for monetizing skills as productized consulting IP
    • Why the chat interface might be going away

    Connect with Victor: 🌐 dana-consulting.com 📧 superintelligentsales.ai (newsletter) 💼 LinkedIn: Victor Adefuye

    Connect with Coach K: 🌐 gtmaiacademy.com

    ⏱️ Timestamps: 0:00 - Intro & Victor's background 3:55 - Victor's GTM enablement journey (Winning by Design → Dana Consulting) 7:30 - Live Demo: Lead Research & Prioritization with Cowork 9:23 - What are Skills? Victor's explanation 14:00 - The power of simple prompts with deep context 16:10 - Parallel sub-agents explained 17:06 - Will Cowork replace the chat interface? 20:48 - Live Demo: Mass Call Analysis with MEDDPICC 22:40 - Building a calibrated scoring system (0-2 scale) 27:15 - How sub-agents solve the context window problem 29:07 - Lead research results walkthrough 31:49 - Can skills be monetized? The productized consulting play 35:19 - Email quality self-checking and the Victor voice filter 40:00 - MEDDPICC synthesis report and team-wide gap analysis 43:50 - Live Demo: Building Make.com Automations with Cowork 46:37 - Trigger-based prospecting for newly hired CROs 50:03 - "It's the creativity that matters" 51:20 - Ethan Mollick's "Invite AI to Everything" 53:23 - Where to find Victor

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    50 分
  • $100M in Pipeline in 3 Months to Automating the Entire GTM Stack With AI Agents
    2026/03/10

    www.gtmaipodcast.com for full AI playbook For Scott's company: https://gtmify.io/ Scott's linkedin: https://www.linkedin.com/in/scottwueschinski/ He built $100M in qualified pipeline in 3 months using partnerships, intent data, and duct-taped automations. Now Scott Walinski (serial entrepreneur, 4x exit founder, co-founder of GTMFI) has productized that playbook with AI. In this episode, Scott demos three live builds: An AI onboarding agent that builds your entire GTM foundation in under 5 minutes. ICP, buyer personas, use cases, competitive positioning, qualifying questions. What agencies charge $5K-10K and take weeks to produce. A specialized agent architecture for outbound. Not one AI writing everything. Separate purpose-built agents for email (onsite intent vs. offsite intent), LinkedIn, SMS, WhatsApp, and even handwritten mail. All orchestrated from a single platform so you don't need to be a GTM engineer or manage 30 tools. A meeting follow-up automation that drafts your emails before your next call starts. Circle Back captures the transcript, n8n routes it, Anthropic extracts action items, and a draft email appears in Slack for you to approve or edit. No more 6 PM email scrambles. Scott's thesis: The modern GTM flywheel is content + intent + outbound, all running on a foundational AI layer. Most teams have the pieces but no orchestration. This episode shows you exactly how to build it. Scott Walinski is a serial entrepreneur who has grown, scaled, and exited four businesses. He's currently co-founder of GTMFI (gtmi.io) and part of the retail advisory group at Genpact. He's also an instructor in the AI Go-To-Market School at Pavilion. CHAPTERS: 00:00 - Intro and Scott's Background 02:00 - From $100M Pipeline to GTMFI 05:00 - The Modern GTM Flywheel: Content + Intent + Outbound 07:30 - Why GTM Tools Fail Non-Technical Users 10:00 - LIVE DEMO: AI-Powered Onboarding Agent 16:00 - Building Buyer Personas and Use Cases with AI 20:00 - From Onboarding to Campaign: The Full Workflow 24:00 - LIVE DEMO: Campaign Builder and Specialized Outbound Agents 28:00 - Intent-Driven Content Generation with Purpose-Built Agents 31:00 - LIVE DEMO: Automated Meeting Follow-Up (Circle Back + n8n + Slack) 35:00 - Wrap-Up and Where to Find Scott #GTM #AI #GoToMarket #B2B #SalesAutomation #AIAgents #Outbound #Pipeline #GTMAIAcademy #MarketingAutomation #SalesTech

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    38 分