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 GTM

The 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=312s

If 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.