In the Pit with Cody Schneider | Marketing | Growth | Startups

• the 100x marketer: combining vibe marketing, ai automation and custom tools to build a $6M ARR company

  In this episode, Sandra Dajic, Head of Marketing at Chatbase, dives deep into the world of "vibe marketing"—a movement at the intersection of growth, automation, and AI tooling. She shares how she’s building AI-powered workflows to supercharge her marketing efforts, from automated ad competitor dashboards to visual content generation using GPT-4. With a background in both VC-backed and bootstrapped startups, Sandra outlines practical strategies for creating a marketing engine that feels like a team of 100—run by just one person.Timestamps: 00:00 - Introduction: The 100x marketer and automation trend 01:40 - Sandra's AI-powered marketing workflows 04:45 - Automating ad analysis with Lovable, Make.com, and GPT 09:12 - Why “vibe marketing” matters now 13:20 - How to scale marketing without engineering resources 16:45 - Building "AI Ninja": Sandra's personalized marketing agent 21:05 - Using AI to streamline press, partnerships, and outreach 27:50 - How Sandra accelerated visual design workflows using GPT-4 31:00 - The power of personal brand and founder-driven marketing 34:15 - Sandra’s experiments with LinkedIn growth strategies 39:22 - Automating content and measuring marketing effectivenessKey Points:Vibe marketing = combining growth strategy with AI automationSandra built a custom dashboard to track and analyze ad creatives across platformsTools used: Lovable for browser agents, Make.com for workflows, GPT-4 for automationAI agents streamline repetitive marketing tasks: outreach, content, visuals, competitor trackingEmphasis on storytelling, personal brand, and focusing on one validated channel at a timeSandra shares tactical tips for LinkedIn growth and content structuringAI enables solo marketers to match output of large teams, affordably and fastNotable Quotes:“I want to automate everything that I don't love doing. My job is to tell the story of the product.” – Sandra Dajic “If you define your workflow, AI can scope the rest. That’s the vibe marketing unlock.” – Host “Personal brand is your biggest asset as a founder—it’s the one thing that sticks.” – Sandra DajicGuest Links: • X: @takotreba • LinkedIn: Sandra Dajic

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• building a $10,000,000 ARR company with only paid ads

  In this episode, I chat with Niels Klement (Head of Growth, Perspective) about how “app-feel” mobile funnels—with quiz questions, instant personalization, and 1-second load times—are crushing the old landing-page model. We dig into paid-ads math, creative iteration, and why a single 90-second video can double your business. Perfect for agencies, SaaS founders, and anyone chasing dollar-in → five-dollars-out predictability.Timestamps00:00 – Intro & why most builders fail on mobile01:00 – Perspective’s path to €10 M ARR / 6 000 customers02:30 – From web-design agency to quiz-funnel SaaS06:00 – Interactivity, sunk-cost bias & personalization09:30 – Page-speed math: 5 s vs 1 s loads12:30 – Designing funnels that feel like native apps17:30 – Best-fit customers: agencies & B2B teams22:00 – Paid ads vs organic: guaranteed distribution27:00 – Creative ops: turning 1 ad into 100 variants33:00 – Dog-fooding Perspective to grow Perspective38:00 – AI, “vibe-marketing,” and small-team scale42:00 – Free 14-day trial & closing remarksKey Points (to skim fast)Mobile-first, one-page apps load ~1 s and behave like IG Stories.Quiz/configurator flows lift conversions and qualify leads.1 s load time ≈ 2.5× conversion—that’s a $1 M → $2.5 M funnel without extra spend.Paid ads = best first lever for predictable, measurable growth.Creative flywheel: launch 100 assets, kill 98, scale the 2 that print money.Dog-food advantage: marketing uses Perspective daily, feeding product loops.Notable Quotes“A 90-second ad can change the trajectory of your entire business.” – Niels Klement“Remove the right friction—interactive questions—and conversions jump.” – Niels Klement“Paid traffic is guaranteed distribution. If the math works, keep printing customers.” – Niels KlementQuick Funnel FrameworkCraft an irresistible offer (free trial, template, case study).Map the funnel steps backward from that goal.Add interactive questions to personalize and pre-qualify.Obsess over load speed and mobile UX.Measure, prune, scale—let data pick winners.Guest SocialsLinkedIn – https://www.linkedin.com/in/nielsklement/ Perspective – https://www.perspective.co/

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• Building Digital Gravity: How Startups Create Mass and Momentum

  In this episode, we’re joined by Jordan Mix, partner at Late Checkout, for an in-depth discussion on how startups can build a million-dollar brand in today’s hyper-competitive landscape. Jordan introduces the concept of digital gravity—a framework for creating “mass” on the internet that draws customers into your brand’s orbit. The conversation explores how companies can move beyond linear funnels and embrace orbit-based growth, where repeated brand interactions across multiple channels drive purchasing decisions.Together, we break down actionable strategies for generating traction, including the smart use of AI agents, automation, and vibe marketing. Jordan shares insights on balancing transactional marketing (like paid ads and cold outreach) with long-term brand-building investments, while emphasizing the role of creators, content flywheels, and the importance of being discoverable in AI-driven search results.Timestamps: 00:00 - Introduction: Building a million-dollar brand in 2025 00:27 - Meet Jordan Mix and overview of Late Checkout 01:10 - The idea of digital gravity and mass in the AI era 03:00 - Funnels vs. orbits: How people really buy 06:15 - Automation, AI agents, and vibe marketing explained 10:45 - AI SEO, branded search, and surviving the law of shitty click-throughs 15:20 - Building discovery flywheels and creator-driven growth 20:30 - Strategies for leveraging YouTube, Reels, and creators at scale 25:00 - Managing creator risk and internal content strategies 28:00 - How to start creating digital gravity without overwhelmKey Points: • Digital Gravity Framework — Customers enter your orbit through repeated brand interactions, not linear funnels. The goal is to create mass (content, tools, assets) that attracts and retains attention. • AI Agents + Automation — Jordan highlights practical uses of AI agents, like automating outreach campaigns, creating dynamic ad workflows, or scraping competitive data to inform marketing. • Transactional vs. Brand Marketing — Early traction often comes from transactional tactics (ads, cold outreach), but long-term success requires investment in brand and content that lowers acquisition costs over time. • SEO in the Age of AI — With LLMs scraping Google’s top pages, brands need to dominate bottom-of-funnel keywords and question-based queries to appear in AI search results. • Creator-Led Growth — Partnering with creators can trigger a viral cascade where hundreds of pieces of content are generated without direct cost, building digital gravity passively.Key Takeaway: Startups should focus first on finding where their customers spend time, test 2-3 channels, and double down on what works. From there, build repeatable processes and automate intelligently. The goal: maximize digital mass where it matters most, so your brand becomes the natural choice when buyers are ready.Notable Quotes: • “Funnels create linear growth. If you want exponential growth, you need digital gravity.” — Jordan Mix • “Where are your customers? Build as much mass as possible in that space.” — Jordan Mix • “Every ring you put out is like a mini-funnel — together they form the black hole of your brand.”Guest Socials: X: @jrdnmix LinkedIn: https://www.linkedin.com/in/jordan-mix1/

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• ai automation builds 100+ ads in 24hrs - research, creative, and data analytics

  In this episode, I chat with Jonathan, a rapidly rising expert on Twitter known for building and scaling AI-driven marketing automations using tools like n8n and custom API integrations. We explore the practical realities of "vibe marketing" automation beyond hype, revealing how real-world workflows are being constructed today and why true expertise in marketing is essential for effective automation. Listeners will gain insights into automating audience research, creative production, and ad performance analysis at scale, as well as actionable tips for getting started and leveraging AI tools to 10x their output.Timestamps(00:00) – Introduction to Jonathan and Marketing Automation The host introduces Jonathan and sets the stage for a discussion on modern marketing automation tools and why they’re currently so powerful.(02:45) – Jonathan’s Background and Automation Journey Jonathan shares how he got into marketing automation, his paid ads background, and the evolution from manual work to automation.(07:30) – Key Tools and Stack for Automation The host and Jonathan discuss their tech stacks, highlighting n8n, railway.com, and custom front-end interfaces to streamline automation.(12:15) – Top Marketing Automation Workflows Jonathan outlines his most effective workflows: audience research, creative generation, and scaling marketing insights.(18:00) – Audience Research Automation: Reddit Scraping and Analysis A deep dive into using n8n to scrape Reddit, filter and analyze discussions, and extract actionable marketing insights and customer language.(25:40) – Twitter Insights Automation How Jonathan automates scraping Twitter for popular posts, identifying top-performing content and structuring it for ongoing content creation.(31:10) – Creative Production Automation Jonathan explains workflows for bulk generating ad variations using OpenAI’s Image Gen API, including reference image analysis and prompt engineering.(38:20) – Custom Front-End Interfaces for Workflows The pair discuss integrating user-friendly front-end UIs (using Lovable or Bolt) with n8n backend automations for client and team use.(44:50) – Automating Ad Performance Analysis Jonathan describes a flow for pulling and analyzing Facebook Ads data, using sub-agents for performance analysis, deep research, and new ad creation.(51:10) – Video Ad Automation and Future Trends A look at how video ad automation is evolving and the current limitations and opportunities, including upcoming tools like Google Veo 3.(56:40) – Speeding Up Workflow Creation with Perplexity and Claude The host and Jonathan discuss using AI (Perplexity, Claude 4) to generate n8n workflow JSON, streamlining the automation development process.Key PointsExpertise in Marketing is Essential for Automation: To automate marketing workflows effectively, you need a deep understanding of marketing processes themselves. Only then can you define, script, and automate successful campaigns[1].Automating Audience Research Drives Results: Bulk scraping and analyzing platforms like Reddit and Twitter allow marketers to extract pain points, trigger events, and customer language at scale, informing ad copy and creative direction.Creative Volume is Game-Changing: Automation tools like OpenAI’s Image Gen API enable the generation of hundreds of ad variations, feeding algorithms for higher performance and lower costs.Custom Front-Ends Improve Workflow Accessibility: Building user-friendly interfaces (using tools like Lovable or Bolt) for complex n8n automations makes them accessible to non-technical team members and clients.AI Accelerates Workflow Development: Using AI tools like Perplexity and Claude to generate n8n workflow JSON reduces the time and technical skill required to build sophisticated automations.Human-in-the-Loop Remains Critical: While automation handles the heavy lifting, human oversight is still needed for nuanced analysis, curation, and final ad selection.Notable QuotesJonathan: “You have to be an expert at that thing to be able to go and actually build out these automations. But when you do that, you can automate 80% of the work that you previously were doing.”Jonathan: “I literally just tell Claude what I want to build, and then it maps it out for me. And then you kind of have a canvas that is like 60, 70, 80% there depending on the complexity.”Cody: “Your customers are your best advertisers, so taking their exact wording and phrases is for sure going to be an effective marketing strategy a lot of the time.”Actionable Takeaways for Founders, Marketers, and PodcastersStart with a Core Marketing Process: Identify a repeatable marketing workflow you fully understand before attempting to automate it.Invest in Audience Research Automation: Use tools to scrape and analyze discussions on Reddit, Twitter, and other platforms to extract customer pain points and language for your messaging[2].Bulk Generate and Test Creatives: Leverage AI to produce hundreds of ad variations, enabling rapid testing and optimization of creative assets.Automate Performance Analysis: Implement workflows to automatically pull and analyze campaign performance data, allowing you to focus on strategy and execution[8].Simplify Tool Accessibility: Build custom UIs for your automation tools to make them accessible for your entire team, not just engineers.Accelerate Workflow Development: Use AI-powered tools like Perplexity and Claude to generate automation scripts and reduce development time.Brought to you byTalentFiber – Hire top offshore engineers with US experience at half the cost of US hires. - talentfiber.comWhere to the find Guest: https://x.com/vibemarketer_ https://linktr.ee/vibemarketerResources Mentionedhttps://www.youtube.com/@nateherkhttps://www.youtube.com/@Mark_Kashefhttps://www.youtube.com/@AI-GPTWorkshop/videosRapidAPI – Access a wide range of third-party APIs for quick integrations. - rapidapi.comApify – Scrape websites and extract data at scale. - apify.comTwitterAPI.io – Free and affordable Twitter data scraping tool. - twitterapi.io

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• AI SEO Crash Course: Search Is Going to Answer Engines, You Need a Plan

  In this episode, I chat with James Cadwallader, co-founder of Profound, about the rise of AI search engines and their impact on traditional search methods. We discuss how tools like ChatGPT and Perplexity are changing user behavior and referral traffic patterns. James shares insights on which companies benefit most from this trend and offers strategies for enhancing brand visibility in AI search results. We explore the importance of tracking bot traffic, creating targeted content, and optimizing metadata to align with AI models' preferences, highlighting the need for brands to adapt to this new digital landscape.🎧 What You’ll LearnAI Answer Engine DynamicsDistinction between AI chat (LLM-only) and AI answer engines (LLM + web retrieval)Key inflection points like ChatGPT’s web-search launch (Oct 2024)Who Benefits MostIndustries with long research cycles (auto, healthcare, consumer electronics)Tech-savvy early adopters and B2B SaaS customers seeing 3–4× month-over-month growthMeasuring AI ImpactTracking bot-to-human conversions via crawler logs + GA4 or AmplitudeUnderstanding AI referrals as a first touch in your marketing funnelTactical SEO LeversComparative “X vs. Y” articles with optimized metadataCategory-specific source mining (Wikipedia, Reddit, publications)Creating simple, highly structured (markdown-style) content for fast crawler reasoningEmerging Best PracticesImplementing llms.txt and bot-first content feedsBuilding a dedicated AI visibility team—your next marketing department⏱️ Timestamps00:00 – Intro: The AI search revolution01:00 – AI chat vs. AI answer engines explained03:00 – Case study: ChatGPT mobile growth spike05:00 – Which verticals see the biggest AI referral lift07:00 – Bot crawling: measuring crawler visits + human actions10:15 – How Profound uses synthetic data to map AI sourcing14:30 – Tactical content strategies: from comparative posts to digital PR18:45 – The future of AI SEO: protocols, agents, and team structures22:10 – Action steps: What founders & marketers must do now🎙️ Guest ProfileJames Cadwallader Co-founder of Profound, the “Ahrefs/SEMrush for AI answer engine visibility.” James leads R&D on mapping how LLMs retrieve and cite web content, helping enterprise brands optimize for this rapidly growing channel.🔗 Resources & LinksProfound (AI Answer Engine Visibility Platform) https://www.tryprofound.com/James Cadwallader on X https://x.com/thejamescad/Sponsor: Talent Fiber Hire offshore engineering talent at one-third the cost of U.S. equivalents: https://talentfiber.com

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