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GTM AI Podcast with Coach K and Jonathan Moss: Daily Summaries Delivered
by AI Business Network
Welcome to the GTM AI Podcast, your go-to independent resource to help GTM Professionals become AI Powered. We will cover strategies, new AI tools, AI news and trends, all for the purpose of helping you create real measurable business impact and help your life be easier. We do weekly episodes ranging from interviews to updates to strategy sessions.
Latest Episodes
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- 4 days ago35 min
200 AI Agents to 10: How a Founder Runs 90% of GTM in Claude
https://www.gtmaipodcast.comEli Portnoy has spent 15 years in AI across three companies. ThinkNear was acquired by Telenav, Sense360 by Medallia, and BackEngine.ai is the one he says he is not planning to sell. The premise of BackEngine: AI needs context, most company data is siloed and inaccessible, so BackEngine structures, permissions, and indexes private company data so every AI instance can use it.On this episode Eli shares his screen and walks through how BackEngine runs 90% of its go-to-market inside Claude.What you'll hear:The connector stack. BackEngine, Fireflies, Gmail, Calendar, Granola, HubSpot, Notion, Slack, Superhuman, Zoom, plus a few vibe-coded MCP servers (website stats). The SaaS tools didn't go away; they moved inside Claude.The scheduled jobs that survived. Founder Sales Daily Pulse (4pm outreach scan), end-of-day follow-up audit from transcripts, product-market fit review every 20 prospect calls, and weekly deal/customer health change alerts.Why a direct CRM connector misses deals. Context windows force the model to sample. Eli's estimate: about 30% of the relevant data gets read. Joining systems, building an index, and permissioning at the data layer fixes it.How to measure AI ROI when it's hard to attribute. The "30% smarter pill" thought experiment, and why scheduling turns AI from single-player into multiplayer mode.Three mistakes. Capabilities weren't ready (jobs needed a computer on and permissions every run), running 200 jobs nobody read, and treating adoption as a technology problem instead of change management.Two change-management rules. Fewer jobs with owners, and no job without a workflow attached.Artifacts as dashboards. Rebuilding the siloed SaaS views (customer health by tier, account health, case studies) as shareable Claude artifacts.Prompt vs. project vs. skill vs. plugin. Eli's 20-second taxonomy.State of the market. 5-10% of employees in most companies are power users; 90% use AI lightly or for emails. Causes: fear, habit, immature tooling, no formula.Advice for individuals. Play with it, give it context like you would a new hire, review every output, tell it to be concise.The next 12 months. Chat becomes the central work surface; expect non-model-provider layers (Manus, Instinct) to compete on the machinery around the model; voice and other interfaces are coming. Eli's analogy: early TV filmed radio booths.
- 2 weeks agointerview35 min6-min read
The $1,800 Lead: Why Your Social Media Ads Keep Failing
For $20 a month, Joel Horwitz’s platform SYNTER.ai enables marketers to unify and automate their entire ad tech stack using AI agents, eliminating the need for brittle workflows and multiple tools. By integrating all major ad platforms, attribution systems, and CRM tools into one system with fine-grained access controls and agent-based automation, SYNTER solves the acute pain of fragmented go-to-market operations — allowing users to launch full-funnel campaigns, from creative generation to audience targeting, with minimal manual intervention.
- Jul 30, 2026conversational39 min6-min read
GTM Efficiency Pyramid: Your Pipeline Is Lying to You. AI Won't Fix It.
In this episode, host Jonathan Kvarfordt interviews Eddie Reynolds, CEO of Union Square Consulting and host of the GTM Science Podcast, about go-to-market (GTM) efficiency and the role of AI in revenue operations. They unpack Reynolds’ GTM Efficiency Pyramid—a framework that prioritizes foundational sales processes before optimization and AI acceleration—and stress that AI tools only deliver value when built atop disciplined, data-driven GTM fundamentals.
- Jun 16, 2026interview48 min6-min read
Why 40% of AI Tools Get Fired and how She Built a 100% AI-Coded Brand
Maddie Bell, a former Procter & Gamble brand director and now co-founder/CEO of Synapse, argues that traditional brand-building principles are not obsolete in the AI era—they’re more valuable than ever. When combined with AI systems, these fundamentals become a competitive force multiplier, especially in B2B go-to-market strategies.
- Jun 9, 2026interview49 min5-min read
Why Your AI Tools Are Making Your Pipeline Worse (Not Better)
AI isn't a magic fix for go-to-market (GTM) struggles; the real advantage lies in building integrated, human-enhanced systems that align sales, marketing, and data. Top teams use AI to amplify rep efficiency, not replace reps, by creating feedback loops across channels and focusing on intent signals and account-based strategies.
- Jun 4, 2026solo42 min5-min read
Why and how You should run AI with NO Internet
John Williams demonstrates how GTM operators can build and own their AI tools, emphasizing local inference, data portability, and privacy to maintain control over their workflows and intellectual output. By leveraging browser extensions and open-source projects like Chat Archive, users can preserve conversational context across models, reduce token costs, and create a personal knowledge graph that evolves with their thinking. He also introduces open specifications like AI Acceptable Use Policy and Agent Commerce, which help organizations and individuals set guardrails for responsible AI deployment, ensuring compliance, security, and ethical use as agents gain autonomy in decision-making and transactions.
- Jun 2, 2026interview31 min6-min read
Inside Perplexity's Revops, 3 AI Skills Replacing Admins
Nate Follen, now leading go-to-market systems and operations at Perplexity, shares how AI agents—especially Perplexity’s own agentic platform—are transforming RevOps by automating workflows that once took hours, enabling faster decision-making, and redefining team structures. The future of RevOps isn’t about hiring more people, but about orchestrating AI agents to handle tasks with precision and scale.
- May 28, 2026interview40 min5-min read
Your Top Rep Just Quit. Their $30M Brain Walks Out. AI Saves the Day
Fluent tackles the critical problem of losing top sales reps' tacit knowledge by using AI to capture and replicate their nuanced decision-making across the sales team. Their solution, Oli, combines machine learning and LLMs in an event-driven architecture to surface real-time, context-aware insights that boost ACV and shorten sales cycles.
About GTM AI Podcast with Coach K and Jonathan Moss
Welcome to the GTM AI Podcast, your go-to independent resource to help GTM Professionals become AI Powered. We will cover strategies, new AI tools, AI news and trends, all for the purpose of helping you create real measurable business impact and help your life be easier. We do weekly episodes ranging from interviews to updates to strategy sessions.
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