AI GTM WTF

Most ex-VPs of Sales defend their old playbook for the rest of their careers.Germain Brion just spent 60 minutes on AI GTM WTF podcast dismantling his.And the one he's dismantling isn't some scrappy early-stage motion. It's the engine that took Chargebee from 3 reps to 150, revenue up 100x, ASP up 30x, NRR to 135%, and a $3.5B valuation.I know the engine. I worked for him.Not the generic "AI is changing everything" take on this episode. Specifics:→ The LDR layer he scaled at Chargebee? Gone. Clay and Unify already replaced it. → Email? "Almost dead." Cheap, so still send — but don't build your motion around it. → LinkedIn? Still holding. Bots haven't polluted it yet. → Voice? The last honest channel. A live human on the phone is the differentiator.His rebuild in one line: AI does the list. Humans make the call.But the line that stuck with me most was this:"One of the big lies of the SaaS era was that it brought productivity. What it really did was delegate work from vendors to customers."Think about it. The vendor used to handle evaluation, integration, setup, QA. SaaS "productized" all of that — which really meant pushing it onto you, the buyer. Like checking in your own bag at the airport. Not more productive overall. Just more productive for the airline.His bet on AI is the inverse.Agents as the first real shot at putting service back into software.One question worth sitting with this weekend:If you had to rebuild your GTM from scratch tomorrow, with AI assumed — how much of your current org chart would survive?My bet: less than half.And the operators who figure out which half, first, are going to eat the decade.He built a cool extension to find out when your prospects are online on linkedin. Episode: https://www.youtube.com/watch?v=5V4gOlVN_3MNewsletter breakdown: https://newsletter.nevara.ai/Bonus — Germain built a Chrome extension in a weekend (using Claude) that pings you when a Sales Nav prospect goes "green dot" on LinkedIn. He's giving our audience early access:https://forms.gle/8ZkeZyvFbKW69TdF6

The tool your company won't buy you? Build it.That's what Jeff Ignacio did.Two decades at Google, AWS, and Vizier — scaling one company from $10M to $70M ARR in three years. Now a fractional GTM advisor. And a solo builder shipping production-grade tools without a single engineer on payroll.His LinkedIn content tool — DraftGrain — has a voice fingerprint engine, post approval lifecycle, direct LinkedIn and X API integration, and a self-improving feedback loop that learns from your edits.Comparable tools charge $200/month. Jeff charges $20.He built it alone. In five weeks.Here's what hit me hardest in this conversation:The skills that make you good at GTM are the exact skills you need to build. You already know what good UI looks like. You understand workflows, permissions, integrations. You've been configuring these systems for years.The only thing missing was the ability to write code.That gap is gone.SDRs — your company froze the tool budget. You're personalizing manually. You don't have to be.Sales leaders — that dashboard you need is on the engineering roadmap. For Q3. It doesn't have to wait.Founders — you're stitching five tools together that were never designed for your motion. There's a better path.Jeff calls it the three-month bridge problem: the solution exists, but the approval cycle takes a quarter to unlock it. Vibe coding just collapsed that timeline to a weekend.In this episode of AI GTM WTF we broke down:→ The exact framework to go from pain to production in 5 weeks → Why your PRD matters more than your code → How to stop scope creep before it kills the build → The security mistakes most vibe coders make — and how to avoid themIf you've ever said "I wish there was a tool that did X" — this one is for you.🎧 Full episode is live on YT-Full Episode- https://www.youtube.com/watch?v=49vYvIM3mFUNewsletter loved by 5500+ Subscribers- https://newsletter.nevara.ai/p/the-tool-your-company-won-t-buy-you-build-it#sales #aigtm #gtm

Your prospect has been on 4 of these discovery calls this week already. Most AEs think they’re "finding pain."What they’re actually doing:Prospect joins call.Gets hit with "Walk me through your process."Then "What are your top 3 priorities?Ends with "What keeps you up at night?"It's a homework tax.And your buyer is exhausted.Here’s what nobody says out loud: the prospect already told you their problems. In the email. On the website. In the LinkedIn post they wrote last month. Or your SDR already confirmed some of them.You just didn’t do the work to diagnose it before the call.We sat down with Austin Schmidt to talk about why GTM is fundamentally broken. Austin’s biggest frustration?The "Feedback Bridge" is a collapse. Marketing is sending "Personalized" emails. Sales is booking "Discovery" calls. But nobody is checking if the buyer actually gives a shit.As a buyer, I can confirm.Austin’s Take: If you send a prospect a piece of content and they don't forward it internally to their team with a note saying "We need to look at this," you haven't provided value. You've just created more work for them.The shift isn't about better questions. It's about showing up with answers.If you’re still searching for pain in 2026, you’ve already lost the deal to someone who proved they understood it before they even showed up.Stop searching for pain. Start proving you understand it.We are building Nevara to kill the discovery call tax. Visit Nevara.ai to see how we’re turning raw research into an instant diagnosis.

But what if the real problem isn’t your messaging — it’s that you’re asking too soon?In this episode, we break down why only 3–4% of your market is actually in-market… and why chasing meetings is killing your pipeline.You’ll learn:Why value-first marketing outperforms pitch-first salesHow to create lead magnets that actually generate intentThe psychology behind “give before you ask”How to use transcripts + real customer data to build authority contentWhy most founders misunderstand lead magnets completelyHow to test ICP pain points before scaling GTMThe difference between engagement and actual buying intentHow value-first outreach increased response rates from 1.4% to 5–7%Why branding comes AFTER valueHow to build pipeline without running adsThis is not theory.This is tactical GTM execution.If you’re a:FounderSDRAEHead of SalesGTM LeaderB2B SaaS operatorYou need to listen to this.Because pipeline isn’t built by pitching.It’s built by solving.

We need to hire an SDR. No. You don't.On Today's episode of AI GTM, I sat down with John Karsant (bootstrapped to 60 employees, runs one of the top appointment setting agencies LevelUp Leads) and he didn't hold back on what founders get wrong about GTM.The brutal truth? Most founders say they have a "GTM problem" when they really have a judgment problem.Here's what we covered:→ Why you should close your first 10-20 customers yourself (not hire sales) → The 3 buckets where agencies fail (and why most won't tell you) → Why copying SaaS playbooks in non-tech industries is financial suicide → How plumbers taught us more about GTM than any LinkedIn guru → Why 70-80% of John's agency is still manual (even with all the AI hype) → The real cost of "moving fast" vs moving smart in early GTMThe uncomfortable reality: Speed beats perfection, but only if you actually know who you're selling to and where they hang out.Most founders don't.This isn't theory. This is what actually works when you're not a venture-backed SaaS company with a $50M runway.Watch the full episode on YT - https://www.youtube.com/watch?v=QxCIikGaAC4&t=312sIf you're a non-tech founder, early-stage CEO, or GTM leader tired of advice that only works in slides, this one's for you.#sales #sdr #GTM

This compilation from AI GTM WTF breaks down why traditional GTM playbooks no longer work, and what modern revenue teams must do instead.Across multiple conversations, we explore how inbox saturation, AI-driven spam filters, buyer fatigue, and outdated metrics have fundamentally changed go-to-market. The solution isn’t more activity, more tools, or more automation — it’s precision, judgment, and qualified pipeline.You’ll learn:Why volume-based GTM is failingHow AI should enhance judgment, not replace itWhy qualified pipeline matters more than meetings or activityHow top teams use custom signals and first-party dataWhy copying playbooks kills differentiationHow modern leaders align GTM teams around qualityThis podcast is essential viewing for founders, CROs, VPs of Sales, GTM leaders, RevOps teams, and B2B SaaS operators navigating GTM in the AI era.

Most sales podcasts talk about tactics.This one talks about the truth people avoid.In this episode, Saad Khan gets brutally honest about the silent crisis hitting modern sales — why sellers have lost their instinct, why leaders are fixing the wrong problems, and why AI is exposing everything we never understood about our own GTM.No scripts.No playbooks.No fluff.Just the real conversation operators have behind closed doors — the fears, the blind spots, the patterns no dashboard can show, and the clarity every rep needs to survive the next era of selling.If you’ve been feeling stuck, scattered, or unsure why your motion works one week and collapses the next, this episode will shake you awake.This isn’t another “5 tips to book more meetings.”This is the part of sales nobody wants to talk about…until now.

In this episode, Matteo explains why most founders struggle to explain what their product actually does.We talk about the 5-second test, the common mistakes on homepages, why AI makes everything sound the same, and how to make your message simple and clear.If you’re building 0→1, this will help you fix your messaging fast.

In this episode of AI GTM WTF, Rahul sits down with Maria Constantine to break down one of the biggest misconceptions founders have about growth: you don’t have a GTM problem — you have a clarity problem.Most early-stage founders copy playbooks from unicorns, templates from LinkedIn, and frameworks from someone else’s slide deck. But as Maria explains, none of those work when you're building a 0→1 motion from scratch.Maria works directly with bootstrapped founders, VC-backed SaaS teams, AI products, PLG startups, marketplaces, and technical teams transitioning into sales-led growth. Her message is simple:GTM is not a template — it’s a motion. And clarity is the foundation.What we cover:– Why founders mistakenly think they need templates, not clarity– The painful truth about PLG → SLG transitions– Why GTM stalls even when branding, content, community & advisors look good– Founder psychology: lies we tell ourselves when building GTM– The difference between “first calls” & true discovery calls– How to uncover emotional pain, not surface-level problems– The magic wand question and why it works– AI’s role in GTM: testing, scoring, enrichment, ICP validation– Why early-stage founders fail at messaging– Why copying winning playbooks never works– The importance of emotional GTM: feelings - features– Understanding 0→1 GTM: testing who, channel, messaging, pain– Technical founders: how to ask non-leading questions– AI agents for research, data validation, and ICP accuracy– The truth/bias GTM rapid-fire round (growth hackers, data-first GTM, PLG myths)This episode is a must-watch for founders, early-stage teams, technical builders, SDRs, AEs, RevOps leaders, and startup operators who want to create a scalable, repeatable GTM motion in 2025 without templates.Connect with Maria- https://www.linkedin.com/in/mariaconstantine1/#ai #gtm #saas #founders #startups #b2b #sales #plg #slg #startupgrowth #aigrowth #salesstrategy #gtmplaybook #clarity #technicalfounders #earlystagefounders #customerdevelopment #salesmessaging #aiforgtm #productgrowth

In this episode of AI GTM WTF, Rahul sits down with Elijah to break down the real reason most companies fail at prospecting, account scoring, ICP definition, data quality, and buyer signals.Elijah, known for his deep work with Clay, AI-driven scoring models, cold calling strategy, and RevOps-led GTM execution, explains why the old predictable revenue playbook is no longer enough in 2025.They dig into:– Why most GTM teams still target the wrong accounts– How account scoring actually works using Clay, AI models, and custom signals– Why technographic, firmographic, and psychographic layers matter more than funding signals– How to find your highest-converting accounts using public data, competitor reviews, and first-party CRM context– Why “spray and pray” prospecting kills pipeline– How to prioritize 1000+ accounts using real usage, hiring patterns, tool stacks, and buyer intent– Practical workflows for AEs and SDRs to research, enrich, and score accounts– How to build a 50-day AI-powered pipeline sprint for 2025– Tools sellers should be using today: Clay, Vector, Prompt Cowboy, Perplexity, OpenAI, CRM AI layers– The truth about AI agents, “find leads with ChatGPT” posts, and what actually worksIf you're a founder, SDR, AE, RevOps leader, or GTM operator looking for a real breakdown of AI-ready GTM systems, account scoring, and data-driven pipeline building, this episode is essential.Topics covered: AI GTM, AI in sales, account scoring, Clay workflows, custom signals, B2B SaaS GTM, cold calling, pipeline generation, RevOps automation, data enrichment, AI sales tools, GTM playbook 2025, SaaS sales strategy, SDR frameworks, outbound strategy.#ai #gtm #sales #salesstrategy #outbound #salesprospecting #accounts #aigrowth #aiforsales #clay #revops #b2b #saas #datascoring #pipeline #salesenablement #aiinsales #gtmstrategy #gtmplaybook #2025sales

In this episode of AI GTM WTF, Rahul sits down with Jorge B. Macias, Founder at GTM Engineering Company, a GTM strategist and workflow expert, to uncover the untapped gold in your closed-lost deals.If you’ve ever opened your CRM and seen pages of untouched “Closed – Lost” opportunities, this conversation will change how you think about pipeline recovery.Jorge walks through a live workflow demo showing how to use Clay, LinkedIn Sales Navigator, and AI tools like ChatGPT to:✅ Identify and clean stale data before re-engaging✅ Segment and prioritize high-intent lost deals✅ Automate personalized outreach with human-in-the-loop prompts✅ Re-activate pipeline that’s been ignored for months✅ Build an AI-ready CRM foundation for scalable GTM motionThis episode is a must-watch for founders, sales leaders, RevOps pros, and B2B SaaS teams who want to turn dead pipeline into new revenue using AI-driven GTM automation.📍 Topics covered: AI for GTM, closed-lost revival, pipeline reactivation, CRM automation, B2B SaaS growth, sales enablement, revenue efficiency, Clay AI workflows, GTM systems design, sales data cleaning, LinkedIn automation, ChatGPT for sales.#ai #gtm #sales #salespipeline #revops #saas #b2b #salesautomation #aiforsales #salesstrategy #gtmstrategy #salesenablement #pipeline #businessgrowth #founders #aigrowth #salesops #crm #salesleadership #startupgrowth

In this episode of AI GTM WTF, Rahul sits down with Milan Chowdhry, a seasoned revenue leader who’s helped scale hundreds of millions in pipeline across B2B tech and SaaS companies.They break down — step by step — how to build a $1M sales pipeline from scratch, even if you’re starting with zero leads.Here’s what you’ll learn:The math behind a million-dollar pipeline (and why most teams get it wrong)How to design your ICP and data layer for predictable growthThe tools and AI workflows Milan uses to create intent, not just leadsHow to scale outreach across 20+ domains without landing in spamWhy messaging, math, and AI alignment decide your GTM success in 2025This episode is a must-watch for Founders, CROs, RevOps leaders, and GTM teams building scalable revenue systems.📍 Topics covered: AI GTM strategy, B2B SaaS growth, pipeline generation, AI sales workflows, outbound automation, RevOps, Apollo, Instantly, Clay, Playmaker AI, GTM data systems, SDR enablement, and pipeline math.If you’re serious about building a pipeline machine that prints revenue, hit subscribe and share this with your sales or RevOps team.

In this episode of AI GTM WTF, Rahul sits down with Anirudh, Founder of Outcome Driven, to uncover why most AI in sales and GTM fails before it even begins — and how to fix it.From going viral with guerrilla marketing (literally posing as a coffee delivery guy) to discovering the real GTM bottleneck — dirty data, Anirudh breaks down how AI-first companies are collapsing under broken data foundations.Key insights you’ll get:Why AI fails before launch due to poor data designHow legacy CRMs like Salesforce and HubSpot hold teams backThe hidden cost of bad GTM data for sales, marketing, and opsWhy shiny AI tools don’t matter if your data layer is brokenHow to rebuild your GTM data stack from first principlesWhy the next wave of AI-native companies will outscale everyoneThis episode is a must-watch for founders, CROs, RevOps leaders, data engineers, and B2B SaaS operators who want to make AI actually work inside GTM.Topics covered: AI GTM strategy, data layer design, B2B SaaS growth, Salesforce data problems, CRM optimization, revenue operations, AI adoption in GTM, Playmaker, startup growth 2025, global sales efficiency (US, Europe, India).If you want to stay ahead of the AI revolution in sales and GTM, subscribe and share this with your team.

In this episode of AI GTM WTF, Rahul sits down with Amor Joseph (CEO & Co-Founder at Swan) to unpack what it really means to build an AI-native company. Having built and sold two companies before, and now scaling Swan to 200+ customers, Amore challenges the traditional GTM playbook with bold insights every founder and sales leader needs in 2025.Key insights you’ll get:Why headcount growth is a trap that kills startupsWhy static sequences are dead and dynamic AI workflows are the futureThe cost of chasing pipeline and volume vs. designing smarter GTM systemsThe Swan Metric: $10M IRR per employee and why it mattersWhy predictable revenue is breaking, and what comes after itThe balance of human trust and AI efficiency in modern GTMThis episode is a must-watch for Founders, CROs, Sales Leaders, SDR Managers, and GTM Operators looking to break away from outdated playbooks and design scalable, autonomous businesses.Topics covered: AI-native companies, GTM playbook 2025, B2B SaaS growth, sales automation, SDR evolution, revenue efficiency, headcount productivity, US sales trends, Europe AI adoption.If you want to stay ahead of the curve in AI-driven sales and GTM, subscribe and share this with your team.

In this episode of AI GTM WTF, Rahul sits down with David to break down the harsh truths and real opportunities of AI in sales and GTM. With insights from leading SDR communities and global sales leaders, David reveals what’s actually working in US, Europe, and global B2B SaaS teams.Key insights you’ll get:1. Why “no one cares about meetings” and what SDR leaders should measure instead2. How AI shifts SDRs from admin work to real pipeline generation3. Why Europe is 18 months behind the US in AI adoption4. The difference between lazy SDRs and top performers in the AI era5. Tools and workflows SDR leaders must test to drive revenue in 20256. Why trust, critical thinking, and communication will always beat automationThis episode is a must-watch for CROs, Sales Leaders, SDR Managers, GTM Teams, and Founders who want to cut through AI hype and build scalable, revenue-driving GTM strategies.Topics covered: AI in sales, SDR playbook 2025, AI GTM strategy, B2B SaaS growth, sales enablement, revenue efficiency, global AI adoption, headcount productivity.If you want to stay ahead of the curve in AI-driven sales, subscribe and share this with your team.#AISales #SDR #GTM #B2B #SaaS #SalesStrategy #US #Europe #India

In this episode of AI GTM WTF, Rahul sits down with Matt Green (Co-Founder & CRO at Sales Assembly) to uncover the real state of AI in sales and GTM strategies. With experience working with 200+ B2B tech companies, Matt shares tactical, no-fluff insights on:✅ Why starting small with AI beats big, risky rollouts✅ The biggest AI failures & what GTM leaders can learn✅ How to separate AI signal from the noise in 2025✅ Workflows and tools actually moving the needle in B2B sales✅ Why curiosity & trust will always beat automationThis episode is a must-watch for CROs, Sales Leaders, GTM Teams, and Founders looking to cut through AI hype and build a scalable, revenue-driving AI strategy.📍 Topics covered: AI for GTM, AI in B2B SaaS, sales enablement, revenue efficiency, future of SDRs, GTM playbook 2025.👀 If you want to stay ahead of the curve in AI-driven sales, hit Subscribe and share this with your team.

Jim Petrolla (PandaDoc) on How He Cut Sales Workload by 60% Using AIJim Petrolla is an Account Manager at PandaDoc managing over $3M in pipeline — and he’s turned AI into his personal sales strategist. In this episode, Jim shares how he cut pre- and post-call work by 60%, reduced call prep to under 4 minutes, and built a living prompt library that powers his sales execution. No code. No gimmicks. Just battle-tested workflows and smart prompting.You’ll learn:How to run a time audit and identify what to delete, delegate to AI, or keepHow “Fixer,” his inbox triage GPT, helps start the day with a clean slateHow to build prompt-generating GPTs to automate any workflowHis Gamma + PandaDoc flow for deck generation and engagement trackingA custom GPT for deal strategy, pricing, and renewal scenariosHow he turns transcripts into ROI decks in under 10 minutesWhat to do when AI fails (and how to recover fast)This episode is a full-stack teardown of what modern sales execution can look like when AI isn’t just added — it’s integrated.Guest Speaker (Jim Petrolla):LinkedIn: https://www.linkedin.com/in/jamespetrolla/Prompt Library- https://sales-ai-tools-0y25rr5.gamma.site/Host (Rahul from Nevara):LinkedIn: ⁠https://www.linkedin.com/in/rahulmwadhwa⁠Product: ⁠https://www.nevara.ai⁠Newsletter: ⁠https://newsletter.nevara.ai⁠The AI GTM WTF PodcastA brutal, no-fluff podcast for GTM leaders building with AI. New math. New motions. Real tactics from the frontlines. Powered by Nevara — the AI co-pilot for Account Executives.🎧 Subscribe for weekly episodes with operators, founders, and GTM rebels🔗 Visit ⁠nevara.ai⁠ for tools, workflows, and tactical GTM content#AIforSales #GTM #SalesAutomation #B2BSaaS #Nevara

Brandon Short is the founder of The Signal, and a former GTM leader at Zoom and Apollo. He’s known for his deep POV on AI-first go-to-market, pioneering concepts like “vibe coding,” signal-based targeting, and AI-assisted outbound. Brandon’s newsletter, The Signal, is read by top revenue operators to stay ahead of the shifting GTM stack.In this kickoff episode of AI GTM WTF, Brandon breaks down why the classic predictable-revenue playbook is collapsing — and what the new era of GTM looks like. From AI agents that research like SDRs to personalized gifting campaigns that actually book meetings, this conversation is packed with tactical ideas you can steal and run this week.Discussed in this Episode:Why the old outbound math is broken (more reps ≠ more pipeline)How to use first-party signals and AI automation to score accounts at scale“Vibe Coding” 101 — Brandon’s method for scalable hyper-personalization without losing authenticityThe “Human in the Final Mile” principle: where AI stops and humans still closeHow Brandon used LinkedIn comments + gifting to build AE pipelineTools to experiment with this week: Clay, Apollo, CommonRoom, Unify, Mutiny, ScratchpadWhy GTM leaders must unlearn old habits and build new motion muscleWhat Brandon would do today if starting from zeroGuest Speaker Links (Brandon Short):LinkedIn: https://www.linkedin.com/in/brendan-short/The Signal newsletter: https://www.thesignal.club/Host (Rahul from Nevara):LinkedIn: https://www.linkedin.com/in/rahulmwadhwaProduct: https://www.nevara.aiNewsletter: https://newsletter.nevara.aiThe AI GTM WTF PodcastA fresh, brutal podcast for GTM leaders building in public with AI. No fluff. Just the new math, new motions, and real talk from the frontlines. Hosted by Nevara — the AI co-pilot for Account Executives.🎧 Subscribe for weekly episodes featuring GTM builders, operators, and founders🔗 Visit nevara.ai for more tools, resources, and GTM experiments#AIforSales #GTM #Outbound #SalesTech #B2BMarketing #GTMPlaybooks #Nevara