This CRM Wizard shares what it takes to scale GTM efficiently

How do you get your startup recommended by ChatGPT, Perplexity, and Gemini? In this episode of GTM Hackers, host Charles Brun interviews Mehrab Hojjati Pour, founder of SEO and GEO agency SEOMode, who shares five practical GEO hacks that got a client cited in AI search answers within two weeks. Mehrab explains why SEO is a game you had to start five days ago, and why AI tooling now compresses results that used to take months into weeks. He walks through the exact workflow his agency uses for generative engine optimization, AI search visibility, and traditional SEO. What we cover in this episode: 1. How to find the high-value, bottom-of-funnel prompts your ideal customers ask AI assistants, and why you should target 4 to 10 commercial prompts instead of hundreds of informational ones. 2. How to extract the hidden search queries ChatGPT runs behind the scenes, and how to reuse those exact queries in guest posts and listicles that earn brand mentions and backlinks. 3. A four-agent AI content workflow: research and outline from top-ranking results, article writing with live search access, internal linking chosen by Google itself, and cover generation. 4. The striking distance strategy: using Google Search Console exports and Claude to find pages ranking in positions 6 to 15 and push them to page one with internal links, title rewrites, and content refreshes. 5. How to find the Reddit threads that rank on Google for your keywords, and why Reddit is the most cited source in LLM answers, followed by YouTube and LinkedIn. Mehrab also ranks the AI platforms from easiest to hardest to crack: Grok, Perplexity, and Gemini are the most accessible, ChatGPT sits in the middle, Google AI Overviews require page-one rankings, and Claude is the toughest because it relies on Brave search. About the guest: Mehrab is the founder of SEOMode, an SEO and GEO agency. A software engineer by background, he builds custom rank tracking tools, MCP servers, and agent workflows for AI-assisted SEO at scale. About the host: Charles Brun is a startup founder and GTM leader, and the host of GTM Hackers, the show that goes inside the minds of revenue architects building AI-powered go-to-market systems. What you will learn: generative engine optimization basics, AI search optimization tactics, ChatGPT search query extraction, prompt tracking, guest posting for GEO, internal linking strategy, content freshness, striking distance SEO, Reddit marketing for AI visibility, and how to prioritize GEO versus SEO in your go-to-market strategy. If this episode helps you rethink your growth channels, follow GTM Hackers, leave a rating, and share it with a founder or GTM leader who is still putting off SEO.

Gabe Larsen, CRO of Atonom, canceled a $40KSalesforce contract with no replacement plan and built a working CRM in 3 hours using Lovable. This is the full story plus his playbook on AI SDRs and the autonomous organization. In Episode 13 of GTM Hackers, host Charles Brun sits down with Gabe Larsen to unpack two of the most talked about shifts in go to market today. First, the rise of the autonomous organization where AI cloud employees work side by side with humans. Second, the bold decision to rip out Salesforce and vibe code a custom CRM using Lovable. Gabe brings 20 plus years of GTM experience from Goldman Sachs, Accenture, Inside Sales.com, and Customer (acquired by Meta). He now leads revenue at Atonom, a startup building the cloud employee category across marketing, sales, customer success, support, and HR. What you will learn in this episode: 1. Why the traditional model of scaling with headcount and tools is dead, and what is replacing it. 2. How to think about AI SDRs as employees rather than tools or cost per conversation. 3. The full 4 step onboarding process Atonom uses for every new AI cloud employee, covering identity, memory, tools, and role play. 4. Why multi agent architectures beat deterministic workflow tools like Make and N8N for complex GTM jobs. 5. The real world performance of AI SDRs on inbound lead qualification, including a case study with a 1000 percent improvement in lead response time. 6. Why cold outbound AI SDRs are failing and what signal based selling with cloud employees looks like instead. 7. The hot, warm, and cold framework for AI in GTM motion. 8. The exact moment Gabe decided to cancel Salesforce and why his whole team was relieved. 9. How his CFO and head of finance built the first version of the new CRM in 3 hours over root beers in Salt Lake City. 10. Why the maintenance argument against vibe coded CRMs is overblown. 11. The benefits of a conversational CRM over traditional reporting. 12. Why Gabe never signs SaaS contracts longer than 12 months. Discussion topics covered: Autonomous organization and frontier firms Cloud employees and AI SDR architecture Multi agent systems and supervisor agents AI employee onboarding and coaching loops Inbound vs outbound AI SDR performance Signal stacking and de anonymized website visitor handoffs Hot, cold, and warm lead handling with AI The 3 day inbound conversion rule Customer service AI and NPS performance data Ripping out Salesforce at a startup Vibe coding with Lovable Conversational CRM as the new interface Build vs buy decisions for modern GTM stacks AI adoption mistakes most GTM teams are making Guest: Gabe Larsen is the CRO of Atonom, host of the Talk AI podcast, and a veteran GTM operator with leadership experience at Customer (Meta), Inside Sales.com, Accenture, and Goldman Sachs. Host: Charles Brun is the host of GTM Hackers, a B2B video podcast focused on AI powered go to market strategies. He is also the founder and CEO of Everest. If you are a founder, CRO, VP of Sales, GTM engineer, RevOps leader, or operator thinking about AI adoption, this conversation delivers both the big picture vision and the tactical details you need. Follow GTM Hackers, rate the show, and share this episode with a GTM operator who needs to hear it. New episodes drop weekly. Related topics: AI in sales, AI SDR, vibe coding, replacing Salesforce, autonomous organization, GTM engineer, agentic AI, cloud employees, RevOps, conversational CRM, build vs buy, AI adoption, signal based selling, Lovable, no code CRM.

A Google AI engineer built a fully functional Slack clone in 14 days using Claude Code — without manually writing or editing a single line of code. In this episode, Nathan shares the full story. Nathan is an AI Engineer at Google who works with the company's largest enterprise customers to build generative AI solutions. He issued himself a public challenge: clone Slack in two weeks using only vibe coding and AI agents. He did it. The project — called Slawk — is open source, already has 250 GitHub stars, and has sparked a wide debate about the future of software engineering.

Vibe coding is changing go to market faster than most SaaS teams realize. In this GTM Hackers episode, Charles Brun sits down with Noy Peleg and Sivan Butnaro from Via to unpack how two non-developers built an internal app called Vira that replaced messy spreadsheets, synced with Jira, and is now saving teams hundreds of hours per week. If you’re a founder, GTM leader, RevOps operator, program manager, or anyone trying to understand what AI means for internal tooling and GTM, this episode is a masterclass in starting from pain, shipping fast, and building adoption inside a real company.

AI in go-to-market isn’t a magic shortcut. It’s a precision engine, but only if your fundamentals are right. In this episode of GTM Hackers, Charles Brun sits down with Stephen Bates, Founder of Cabot Insights, to unpack what actually works when startups try to implement AI, automation, and GTM engineering.