Advertise on podcast: In the Pit with Cody Schneider | Marketing | Growth | Startups

Brought to you by https://www.graphed.com/ Deploy AI Agents for Marketing + GTM Intro Most of the marketing data you want is public. It's just not exposed. Ad platforms show you what makes you spend more with them, and hide the rest. Adrian runs Scrape Creators, an API for public social data. He spent this episode listing almost 20 tools that get at the stuff platforms don't hand over — creator emails, Instagram stories, full tweet history, every nutritionist in the United States. The real takeaway isn't any one API. It's that chaining them together takes an afternoon now. Google Maps → email finder → Instantly → booked meeting. No engineer. Timestamps (02:34) A customer got busted by Meta this week — where Adrian draws the legal line (08:41) Outlier identification: rank a creator's catalog, pull the transcripts, extract the hooks (12:31) The non-technical build loop — API docs into Perplexity, Python into a vibe coding tool, one-shot app (21:16) Hiker API — Instagram emails, followers, and stories from behind the login (25:56) Google Maps at scale — Targetron, Serper.dev, and the email enrichment chain on top Find Adrian - scrapecreators.com - [email protected] https://x.com/adrian_horning_ on X

Deploy AI agents for marketing - https://www.graphed.com/  Nick Abraham is breaking down the exact outbound system behind 250,000 LinkedIn DMs a month, including the numbers, infrastructure, and why LinkedIn is blowing cold email out of the water right now. He pulls back the curtain on the LinkedIn InMail arbitrage that most people have no idea exists, how he's stacking SalesNav licenses to send at scale without paying per credit, and why reply rates on LinkedIn are nearly 3x what he's seeing from cold email, even to the exact same lead lists.  But it doesn't stop there. Nick also gets into how he's completely rethinking cold email as a one-to-one marketing channel powered by AI, where every email is essentially a personalized ad written specifically for that recipient's business, role, and pain point. He walks through a real live example using getleads.io and how he's slicing TAM lists into micro-campaigns by channel type, inbox provider, and job function to squeeze dramatically better results out of the same volume.  They also get into the full outbound tech stack Nick is running right now: SmartLead for email sequencing, HeyReach for LinkedIn, Master Inbox for unified reply management, Close CRM for pipeline, and how Cursor plus Claude replaced his entire RevOps setup, no Zapier, no full-time hire. About the Guest Nick is the founder of Leadbird.io, one of the top outbound agencies running today. Link with him through here. https://x.com/NickAbraham12  https://www.linkedin.com/in/nick-abraham/  Learn more about Leadbird https://leadbird.io/

Deploy AI agents for marketing - https://www.graphed.com/ GTM engineering is one of the fastest-growing roles in tech right now, but what does it actually involve, and why are companies scrambling to hire for it? In this episode, I sit down with Benyamin Holley, a GTM engineer who's worked at multiple startups including AirOps, to break down what this job really looks like day to day. We dig into why API completeness is becoming the new buying criteria for software (and why Salesforce is quietly winning the AI era), why you should skip tools like Zapier and N8n entirely and go straight to code, and how "just-in-time" internal tools are changing the way teams build workflows. Ben also walks through real systems he's built and explains why expertise, not just tooling, is what actually separates winners in an increasingly saturated market. We also get into the debate around cold email as a marketing channel vs. a sales channel, why attribution is still an unsolved problem, and what companies should actually look for when hiring a GTM engineer. In this episode, we cover: 00:00 — What a GTM engineer actually is (and why every company is hiring one) 02:54 — Why Salesforce beats HubSpot now: API completeness is the buying criteria 05:29 — Skip Zapier and n8n entirely, go straight to code 08:31 — Your GitHub repo is your GTM portfolio 32:29 — The job-change bot: vibe-coding UserGems and what made it hard

Your biggest advantage in marketing right now isn’t better ads. It’s understanding what actually makes people buy — and it’s probably not what your feed is telling you. Rage bait is everywhere. It gets views. It gets engagement. But it doesn’t build trust — and it definitely doesn’t drive real revenue in B2B. In this episode, we sit down with Jason Levin, co-founder of Memelord.com, to break down why meme marketing is quietly outperforming rage bait, how humor builds trust with high-value buyers, and the exact systems top marketers are using to scale meme-driven acquisition. The deeper insight: the best marketers aren’t chasing attention — they’re engineering relatability at scale. You’ll learn how to operationalize memes across multiple accounts, why “remixing” is the real creative advantage, and how to turn humor into a repeatable growth engine. If you’re thinking about distribution in 2026, this is a playbook most companies still aren’t using. Guest Jason Levin — co-founder of Memelord.com, an AI-powered meme marketing platform helping companies scale humor, distribution, and content velocity through AI-generated memes and multi-account social strategies.LinkedIn: https://www.linkedin.com/in/iamjasonlevinX: https://x.com/iamjasonlevin What You’ll Learn Why rage bait drives views… but fails to convert high-value customersThe difference between attention farming and buyer-driven attentionHow meme marketing builds trust faster than traditional contentWhy humor is a lever — not a strategy replacementHow to run multiple niche meme accounts for different ICPsWhy remixing content beats originality in modern distributionHow AI is enabling meme velocity at scaleWhy relationships still outperform automation in closing dealsTimestamps00:00 - Introduction to Meme Marketing 00:21 - Guest Introduction: Jason Levin from Memelord.com 00:41 - Memes vs Rage Bait Marketing 01:13 - Tactical Meme Marketing Strategies 02:24 - The Importance of Branding and Trust 03:27 - Rage Bait vs Smart Bait Philosophy 05:01 - Why Meme Marketing Drives Revenue 06:43 - Building Trust in B2B Through Humor 08:13 - Niche Meme Accounts and High-LTV Distribution 10:19 - The Problem with Rage Bait Culture in Silicon Valley 15:00 - Inside Memelord.com: Product, Demo & AI Tools 30:43 - Scaling Distribution, Verified Orgs & Measurement Key Topics & Insights 1. Rage Bait Gets Attention — But Not Revenue There’s a growing belief that anger = growth. But here’s the reality: Rage bait attracts the wrong audience. It pulls in: Low-intent usersPeople looking to argueLow purchasing-power audiencesThe problem: High-value buyers don’t respond to manipulation — they recognize it. And when trust is broken, conversion dies. The takeaway: Views are not revenue. 2. Meme Marketing = Relatability at Scale Memes work because they create instant recognition. Instead of forcing attention, they generate: Emotional alignmentShared pain pointsFast trust-building through humorWhen people feel understood, they convert faster. 3. Humor Is a Lever, Not a Strategy Memes don’t replace strategy — they amplify it. Smart marketing stacks multiple levers: Educational contentLong-form trust buildingPaid acquisitionHumor as distribution acceleration4. Remixing Is the Real Growth Engine Modern content velocity comes from remixing, not originality. Instead of creating from scratch: Take what’s already trendingApply your ICP’s pain pointAdd context and distributionThis is how meme engines scale. 5. Multi-Account Distribution Strategy Scaling meme marketing requires fragmentation: Multiple niche accountsEach targeting a specific personaEach speaking in a tailored voiceThis creates parallel distribution channels instead of relying on one brand feed. 6. Verified Org Arbitrage on X A key growth hack discussed: $1,000/month for verified orgAbility to spin affiliate meme accountsNetworked distribution across accountsThis creates ubiquity and compounding reach. 7. Relationships Still Close Revenue Even in a world of automation: ConversationsTrustLong-term relationshipsstill outperform pure distribution hacks. 8. Measurement Shift: Branded Search Instead of tracking vanity metrics: Focus on branded search growthUse Google Search ConsoleMeasure demand creation, not just clicksThis becomes the true signal of market pull. 9. The Meme Stack Is Becoming a System Memelord.com represents a shift: Trend detectionAI generationMulti-account publishingRapid iteration loopsMemes are no longer content — they are infrastructure. SponsorToday’s episode is brought to you by Graphed – an AI data analyst & BI platform. With Graphed you can:Connect data like GA4, Facebook Ads, HubSpot, Google Ads, Search Console, AmplitudeBuild interactive dashboards just by chatting (no Looker Studio/Tableau learning curve)Use it as your ETL + data warehouse + BI layer in one place Ask:“Build me a stacked bar chart of new users vs. all users over time from GA4”…and Graphed just builds it for you. 👉 Get a free trial worth $500 plus a personal discovery call to set up your first dashboard: https://graphed.com/

Your “source of truth” for customer acquisition isn’t GA4. It’s what people tell you when they sign up — and right now, that story is changing fast. In this episode, we unpack a simple but brutally effective tactic: adding a required “How did you hear about us?” field to your signup form — and using that data to understand where real discovery is happening. The surprise? More and more B2B customers are saying social media, even when analytics tools claim otherwise. But here’s the deeper shift: organic social is hard to measure… unless you track the right trailing indicator. That indicator is branded search. You’ll learn how to use Google Search Console to track brand-name impressions over time, why it’s becoming the only KPI that matters for modern founder-led marketing, and how branded search creates a defensible moat competitors can’t easily steal. If you’re planning your marketing strategy for 2026, this is the measurement system you need. What You’ll Learn Why signup form attribution is often more reliable than your analytics dashboardsThe biggest B2B acquisition shift happening right now: from search → socialWhy organic social is nearly impossible to ROI… and how to measure it anywayThe “branded search” metric that acts as a trailing indicator for social discoveryWhy branded search is a marketing moat your competitors can’t take from youHow to build a branded-search chart using Google Search Console in minutesThe exact prompt to pull branded impressions by query and track them over timeTimestamps 00:00:00 - Customer Discovery Starts at Signup00:00:10 - The Shift: Search → Social00:00:31 - Why Organic Social Now Matters Most00:00:52 - The Measurement Problem (and the Fix)00:01:12 - Branded Search = Your Trailing Indicator00:01:33 - Why Branded Search Is a Moat00:01:54 - Where to Invest Time, Money, and Energy00:02:04 - The 2026 Strategy: Grow Brand Searches00:02:15 - How to Track Branded Search in GSC00:02:25 - Building the Branded Impressions Chart00:02:46 - Live Demo: Google Search Console Setup00:03:07 - Final ThoughtsKey Topics & Insights 1. Signup Attribution Beats Analytics (Almost Every Time) One of the fastest ways to understand how customers actually found you is simple: add a required “How did you hear about us?” field in your signup form.Why it works: It captures customer intent in their wordsIt reveals channels analytics often misattributesIt shows the real discovery story (not the last-click story)And the punchline: it often contradicts what GA4 says. 2. The B2B Discovery Shift: Search → Social If you’ve been paying attention to the data, something big is happening: People aren’t discovering new software products through search anymore. They’re discovering them on social — then Googling them afterward. This shift has accelerated over the past 12–18 months. Even in B2B, where trends typically lag behind DTC. What this means: SEO is no longer the first touchpointSocial is becoming the top-of-funnel discovery engineSearch is evolving into a validation channel3. Organic Social Has a Measurement Problem The hardest part about investing in organic social is that it’s difficult to tie to ROI. Whether you’re doing: Founder-led contentCreator sponsorshipsCommunity distributionOrganic growth loops…it doesn’t fit neatly into traditional attribution. So instead of forcing bad ROI models, track the trailing indicator that proves social discovery is working. 4. Branded Search Is the Trailing Indicator That Matters Here’s the key idea: When someone discovers your product on social, they don’t click your link. They Google your name. That branded search becomes the measurable proof: A discovery event happenedPeople care enough to look you upYour brand is entering the market’s memoryThis is why branded search growth is one of the strongest indicators of momentum. If branded search is increasing month-over-month, your brand is winning. 5. Branded Search Creates a Defensible Moat This is where it becomes more than measurement — it becomes strategy. Branded search is difficult for competitors to steal. Once people are searching your name, you own that demand. The only way competitors can interfere: They bid on your brand in Google AdsThey try to outspend youOr they attempt to confuse the marketBut that’s expensive, obvious, and usually temporary. So branded search is not only a KPI — it’s defensibility. 6. How to Track Branded Search in Google Search Console This is the tactical part. To track branded search over time, you want a chart that shows: Impressions over timeFor queries containing your brand nameCaptured in every format your audience might type itAnd this is surprisingly easy to pull from Google Search Console. 7. The Exact Chart & Prompt to Build It The goal is to extract Search Console impressions where queries include your brand name. Example prompt: “Build a chart showing total impressions over time for queries containing ‘YOURBRAND’.”Then your job becomes simple: Increase branded impressions month-over-month through: social contentdistributioncreator partnershipspodcast mentionsrepeated brand exposureconsistent visibilityThis becomes the clearest signal that marketing is compounding. Action Steps (Do This Today) Add a required “How did you hear about us?” field on signupReview responses weekly (and compare against analytics)Use Google Search Console to track branded query impressionsCreate a monthly KPI: branded impressions growthUse branded search growth as the scoreboard for your organic social effortsSponsorToday’s episode is brought to you by Graphed – an AI data analyst & BI platform. With Graphed you can:Connect data like GA4, Facebook Ads, HubSpot, Google Ads, Search Console, AmplitudeBuild interactive dashboards just by chatting (no Looker Studio/Tableau learning curve)Use it as your ETL + data warehouse + BI layer in one place Ask:“Build me a stacked bar chart of new users vs. all users over time from GA4”…and Graphed just builds it for you. 👉 Get a 14-day free trial with 10 seats for your team: https://graphed.com/

If you’re not getting cited by ChatGPT, your “AI SEO” strategy isn’t working, no matter what your dashboards say. Most of it is observability theater: dashboards, charts, synthetic prompts — and zero actual placement. In this episode, we chat with Shawn Schneider, founder of Eldil AI, about what actually determines whether your company shows up in ChatGPT answers. The short answer: LLMs don’t reward more content, clever prompts, or prettier dashboards. They reward a small set of trusted third-party sources — and most brands aren’t mentioned in any of them. Shawn breaks down why observability alone creates a false sense of progress, how to identify the specific citations that dominate your category, and how to turn that insight into real placements through outreach and negotiation. We also unpack why Google Search Console is still the best signal we have for AI-driven queries, how to prioritize the one citation that actually matters, and what the first 30–90 days can look like when you do this correctly. Guest Shawn Schneider — founder of Eldil AI, a GEO / AI SEO platform focused on identifying and securing the citations LLMs rely on most; helps brands and agencies win visibility in ChatGPT by targeting the power-law sources that shape AI answers. Guest LinksLinkedIn: https://www.linkedin.com/in/shawn-schneider-61b2b5207/ Company Website: https://www.eldil.ai/ What You’ll Learn Why most GEO / AI SEO observability tools are meaningless without actual placements The only thing that reliably improves AI search visibility: citation placementsHow to use Google Search Console to surface AI fan-out queriesWhy synthetic prompt data is still unreliable (and what to trust instead)The power law of citations: why only 1–3 sources actually matterHow Eldil turns citation discovery into outreach and negotiated placementsWhat 30–90 days can look like when you secure the right citationWhich industries should invest heavily — and which should ignore this for nowWhy ChatGPT dominates referral traffic compared to other LLMsWhat happens when ads arrive inside AI search resultsTimestamps 00:00 — GEO, AI SEO, AEO: noise vs. reality00:21 — Why observability tools don’t move the needle03:55 — Where GEO tools get their data (and why it’s messy)07:16 — Using Google Search Console as a prompt proxy09:40 — The three pillars: technical, content, authority12:07 — Citations as the dominant ranking lever13:07 — The power law: thousands of citations, one winner19:07 — How fast results actually show up20:39 — When building your own citation content makes sense30:41 — Which business models win with GEO37:11 — ChatGPT ads and the future of AI search41:32 — Where to find Shawn and closing thoughts Key Topics & Ideas 1. Why dashboards feel good but don’t create outcomes. Most tools are essentially “Google Analytics for LLMs”ChatGPT referrals rise naturally as usage increasesCharts go up even if you do nothingWithout placements, observability is just vanity2. The three common approaches in the market today: Guessing prompts with LLMsClickstream data sourced from Chrome extensions and brokersSynthetic prompts without transparencyEldil uses Google Search Console + Analytics as the best available proxy for real intent. 3. How to spot AI-generated fan-out queries: 50+ character queriesHigh impressionsLow or zero clicksThese often represent LLMs expanding short prompts into long-form searches. 4. The three pillars: Technical, Content, Authority Technical — can an LLM crawl and understand your site?Content — does useful information exist?Authority — does anyone credible back it up?Authority is the multiplier most teams ignore. 5. What actually shapes AI answers: Citations are not backlinks, they are semantic explanationsLLMs repeatedly return to the same trusted sourcesThird-party listicles and niche blogs dominate citation share6. The Power Law of Citations 10k–15k citations may exist200–300 matter1–3 actually move the needleIf you’re not in those, content volume won’t save you. 7. The real workflow: Identify high-value customer questionsExtract dominant citationsRank them by weightContact site ownersNegotiate placementMonitor AI visibility and referral trafficThis is where most tools stop — and where Eldil focuses. 8. How many placements do you need? Surprisingly few. You don’t need 100 placementsYou need the right oneThen expand into adjacent verticalsThis is concentrated betting, not spray-and-pray SEO. 9. Why GEO feels different from traditional SEO: You are inserting into sources that already rankChanges can show up in weeks, not yearsMeaningful referral growth often appears within ~60–90 days10. Who Should (and Shouldn’t) Do This Best fit: High-ACV B2B SaaSLong buying cyclesHigh-LTV e-commerce (supplements, skincare)ICPs that already live in ChatGPTIf your customers do not use LLMs yet, start elsewhere. 11. Why ChatGPT is the main event Based on Eldil’s data: ChatGPT referrals dwarf Perplexity and othersFor most companies, this is where focus belongsSmaller channels still matter for high-ticket sales12. What’s coming next Paid placements inside LLMsOrganic plus paid becoming a one-two punchCitation inventory getting expensive fastThe window for cheap dominance will not last. SponsorToday’s episode is brought to you by Graphed – an AI data analyst & BI platform. With Graphed you can:Connect data like GA4, Facebook Ads, HubSpot, Google Ads, Search Console, AmplitudeBuild interactive dashboards just by chatting (no Looker Studio/Tableau learning curve)Use it as your ETL + data warehouse + BI layer in one place Ask:“Build me a stacked bar chart of new users vs. all users over time from GA4”…and Graphed just builds it for you. 👉 Get a free trial worth $500 plus a personal discovery call to set up your first dashboard: https://graphed.com/

Your brand doesn’t exist until it ranks on page one—and most founders have no idea how to make that happen. In this episode, we break down the exact playbook for getting a brand-new domain to show up in Google for your company name. After going through this process firsthand with Graphed.com, you’ll learn how to choose a rankable name, build the right backlinks, trigger branded search behavior, and use Google Ads to accelerate the whole process. If you're launching anything new, this is the tactical blueprint you wish you had earlier. What You’ll Learn Why ranking for your brand name is the first real trust signal for any startupHow to pick a name and domain you can actually rank forThe “first 100 links” strategy that trains Google to recognize your brandSimple ways to generate branded search behavior across social and contentHow Google quietly tests your domain—and how to know when it’s happeningHow to use Google Search Ads to accelerate ranking and protect your brandWhy .com still matters more than any other TLDTimestamps 00:00 — Why your new domain must rank for your own brand name00:31 — Why ranking for your brand name is a critical early trust signal01:03 — The rookie mistake founders make when picking a brand name01:13 — What ideal, non-competitive SERPs should look like01:35 — Graphed.com’s journey to finally ranking in position one01:45 — Overview of the process to teach Google your brand01:55 — Step 1: Build backlinks to your homepage03:29 — Step 2: Drive branded search with social posts & content04:21 — Step 3: Run Google Search Ads on your exact brand name05:45 — Why you should always buy the .com for your brand06:16 — Final thoughts + Graphed free trialKey Topics & Insights 1. Ranking for Your Brand Name = Early-Stage Trust If someone Googles your company and doesn’t find you, credibility collapses. Ranking for your brand name is one of the first—and easiest—trust signals to secure. Graphed.com took ~2 months to rank, but with this framework, it can happen in as little as 24–48 hours. 2. How to Choose a Rankable Name Avoid names already used by active companiesLook for search results filled with noise, not competitorsIdeal: two words, few syllables, easy to spellAnd always, always buy the .com3. Build the First 100 Backlinks (Brand-Name Anchors Only) Your #1 job early is to teach Google what your company is.Do this by: Building backlinks to your homepageUsing your brand name as the anchor text (not keywords)These are foundational “identity” links that help Google map brand → domain. How to build them: Submit to software directoriesUse link submission servicesCold email companies for guest post swapsLayer PR on top later4. Trigger Branded Search Behavior Once Google sees your backlinks, you need humans to reinforce the signal: Search your brand nameClick your domainSpend time on the pageGoogle then learns: “When people search this name, this is the site they want.”You create this behavior through: Social postsNewslettersPodcast mentionsRepeated use of the brand everywhere5. How Google Tests Your Domain Google will quietly experiment by showing your domain for branded queries.You’ll see this in Search Console via: Rising impressionsIncreasing CTRSudden jumps in average positionThis is the moment Google “decides” you belong on page one. 6. Accelerate Everything With Google Search Ads Run a brand campaign: Exact-match brand keywordMinimum bid: around $5Send traffic to homepageThis forces the association between brand name → your site, and accelerates your rise in organic search. Brand protection tips: Raise bids to block competitorsAdd sitelinks to take more SERP real estateOptional: multiple ad accounts (with caution)7. Why .com Still Beats Every Other Domain Consumers inherently trust .com more than .io, .co, .xyz, etc.It drives higher CTR and reduces friction in word-of-mouth.If the .com isn’t available, pick a new name—don’t settle. SponsorToday’s episode is brought to you by Graphed – an AI data analyst & BI platform. With Graphed you can:Connect data like GA4, Facebook Ads, HubSpot, Google Ads, Search Console, AmplitudeBuild interactive dashboards just by chatting (no Looker Studio/Tableau learning curve)Use it as your ETL + data warehouse + BI layer in one place Ask:“Build me a stacked bar chart of new users vs. all users over time from GA4”…and Graphed just builds it for you. 👉 Get a 14-day free trial with 10 seats for your team: https://graphed.com/

There’s a whole narrative right now that “vibe coding is a bubble” and all the MRR from AI-built apps isn’t real. In this episode, we chat with Jacob Klug, founder of the agency Creme, which specializes in building lovable MVPs on top of tools like Lovable and AI coding assistants. Jacob makes the case that most of the “AI apps are trash” discourse is really a skill issue, not a tool issue—and he breaks down the exact process his team uses to ship full platform-level apps in two-week sprints. We dig into how to scope and design software that doesn’t look AI-generated, how to think about personal operating systems vs. SaaS, why ideas are getting worse even as tools get better, and how creators and agencies can turn niche domain expertise into real products. If you’re an operator, marketer, or founder trying to figure out how to actually use AI coding tools (instead of just tweeting about them), this one’s for you. Guest Jacob Klug — founder of Creme, an agency building “lovable MVPs” and full-stack products with Lovable + AI tools; helps founders, startups & enterprises ship production apps in weeks without sacrificing UX. Guest Links Website: https://www.creme.digital/LinkedIn: https://www.linkedin.com/in/jacob-klug-37b254156/X (Twitter): https://x.com/Jacobsklug What You’ll Learn Why the “vibe coding is a bubble” take is mostly a skill and discipline problemHow Jacob’s agency ships full startup-grade products using Lovable and AIThe PRD-first formula they use before ever opening a builderHow to decide when to build vs. when to buy software in 2025Why we’re entering a wave of personal OSes and custom internal toolsHow to avoid shipping janky AI UI and make your app look intentionally designedThe mindset shift from “I could build anything” → “I will build this one specific thing”Why specializing in one AI tool (Lovable, Cursor, n8n, etc.) beats being “the AI guy”Tactical content and lead-gen plays for agencies on LinkedIn and YouTubeHow to learn AI tooling without getting paralyzed by the infinite possibilitiesTimestamps 00:00 — Vibe coding: bubble or breakthrough?02:23 — Effective use of no-code tools05:23 — Stack and scoping for MVP development07:08 — Trends in personal software development10:33 — Personal projects: blood work analysis tool13:00 — Steps to start building custom software17:49 — Successful and unsuccessful product categories21:01 — Learning and adopting AI tools27:45 — Creator collaboration in software development32:14 — Lead generation strategies for AI-powered agencies Key Topics & Ideas 1. Bubble or Skill Issue? Why early no-code/AI apps looked jankyHow tools like Lovable increased automation from ~50% → ~85%The remaining 10–15% where real engineering still mattersMany failures come from non-devs skipping fundamentals2. How Creme Builds Lovable MVPs Every project starts with a clear PRD (often drafted with ChatGPT)AI is used to tighten scope before buildingWhen Creme stays fully in Lovable vs. moving code to CursorUsing Lovable Cloud for hosting, database, and analytics3. Personal Operating Systems & Internal Tools People replacing SaaS subscriptions with their own custom toolsIn a 20-person cohort, nearly everyone built workflow appsRise of the Personal OS: one system for life + workExample builds:Bloodwork tracker from PDF uploadsUnified messaging CRM (WhatsApp, Telegram, SMS, email)Automated 30-second sales briefings4. How to Learn AI Coding Tools Half the cohort hadn’t built anything before startingMain blocker: overwhelm, not skillLearn core concepts: frontend vs. backend, auth, roles, securityBuild daily reps, focus on the next thing you need—not “all of AI”5. Designing Apps That Don’t Look AI-Generated Good design is still the hardest and biggest edgeCreme process: build a /components library, define buttons/cards/inputs, assign stable IDsTools: Mobbin, Figma Community kits, 21st.devBest prompt: “Here’s a screenshot → copy this.”6. What Works in Product Ideas Most of Creme’s builds are full startup platforms, not micro-toolsAI makes shipping easier, but ideas are getting worse without depthReal advantage = domain expertise + niche problem + AI speed7. Creators x Software Creators can now ship products without capitalJacob prefers retainers over equityAnalogy: Like creator brands—most fail, a few go huge8. Career Strategy: Specialize Future = verticalized expertise, not “AI generalists”Specialist lanes: Lovable, Cursor, n8n, automationBe the person for one tool + one market9. Content & Lead Gen Jacob's two rules for content: people are selfish and people are boredBuild content that teaches, sparks emotion, and creates curiosityPost ~5x/week, prioritize visual postsLong-term: YouTube deep dives for high-intent inboundSponsorToday’s episode is brought to you by Graphed – an AI data analyst & BI platform. With Graphed you can:Connect data like GA4, Facebook Ads, HubSpot, Google Ads, Search Console, AmplitudeBuild interactive dashboards just by chatting (no Looker Studio/Tableau learning curve)Use it as your ETL + data warehouse + BI layer in one place Ask:“Build me a stacked bar chart of new users vs. all users over time from GA4”…and Graphed just builds it for you. 👉 Get a 14-day free trial with 10 seats for your team: https://graphed.com/

Brought to you by Graphed.com - https://www.graphed.com/ Graphed is your AI agent for marketing analytics. Connect your data and get insights in minutes. Build dashboards, reports, and chat. Learn more at the link. https://www.graphed.com/ When you hit send on ChatGPT, your garbage six-word query gets enriched while the AI simultaneously launches 80 parallel searches, scraping pages 1-3 on Google faster than you can blink - and the proof is hiding in your Search Console with those weird 50+ character queries showing 96K impressions but only 14 clicks because AI is hoovering up content without clicking through. The arbitrage play is stupidly obvious: stop making more content and start getting mentioned in the existing high-ranking pieces AI already references - find what URLs ChatGPT cites for your space, reach out to those blog owners, and get included in their listicles because one mention there is worth more than 100 blog posts since you're suddenly part of every AI response in your category. 5 Key Takeaways: AI enriches your terrible queries because you type like garbageEvery response triggers 80 parallel searches scraping Google's top resultsSearch Console shows AI scraping: high impressions, zero actual clicksStop making content, get mentioned in existing high-ranking pieces insteadOne listicle mention beats 100 blog posts for AI coverage

Think of page one as real estate—and claim as much of it as possible. Jesper Nissen breaks down modern parasite SEO: leveraging high-authority platforms (YouTube, Instagram, X/Twitter Articles, Perplexity/Qwen pages, etc.) to rank quickly for branded, local, and long-tail keywords. We cover indexing workflows, daisy-chain linking, exact-match domain plays, and the content + link velocity patterns that are working now. Guest Jesper Nissen — SEO educator, link-building practitioner, founder of SchemaWriter.ai and the cloud-stacking platform YACSS; speaker at POFU Live / SEO Rockstars; MSc in Physics (U. of Copenhagen).  Guest Links Website: https://jespernissen.com/ YouTube: https://www.youtube.com/@JesperNissenSEO X (Twitter): https://x.com/jespernissenseo?lang=en What You’ll Learn Parasite SEO, 2025 edition: Why page-one results increasingly favor social UGC, news, and authority domains—and how to ride that DA for fast wins. Platforms that still rank: Jesper’s current leaderboard (e.g., Qwen, Perplexity) and what changed for Claude Artifacts.Local + long-tail focus: How to use Facebook/Instagram posts, YouTube videos & community posts, and X Articles to own branded and geo-keywords.Indexing workflow: Indexing services + social “daisy-chain” links to accelerate discovery.EMD plays: Exact-match domains (service+city and SaaS feature terms) and smart, steady link velocity patterns.Social → Search shift: Why Instagram and Facebook posts have started surfacing in Google (July 2025 change) and how to write posts to rank. Timestamps 00:00 — Owning page one like “real estate”02:16 — Parasite SEO vs. traditional guest posts08:45 — Reddit’s link-out limits & why Jesper moved on14:58 — Claude Artifacts surge (and why it cooled)18:02 — What’s working now: Quen & Perplexity pages21:35 — Indexing flow: drip pings + social link bursts26:40 — Meta shift: FB/IG posts in Google (local SEO gold) 31:55 — Exact-match domains + link velocity math46:55 — Shorts as TOF magnets; long-form as sales letter51:40 — Priming YouTube with low-CPC X ads (global)Jesper’s Parasite SEO Playbook (Step-by-Step) Pick a target query (branded, local, or long-tail).Publish across high-DA surfaces:YouTube (video + Community post), X/Twitter (Articles), Instagram, Facebook Page, plus AI page builders (e.g., Quen, Perplexity).Front-load keywords in social posts (especially the first words of FB/IG captions for cleaner URLs/titles).Daisy-chain internal links: point your X Article to the IG/FB/YouTube/AI pages to aid indexing.Kick indexing via reputable ping/index services, then add lightweight social links to nudge crawl.Measure and iterate: keep winners, replace laggards, expand with adjacent long tails.Exact-Match Domain (EMD) Mini-Framework When to use: service+city rank-and-rent, or narrowly defined SaaS use-cases.Build: one-page lander, fast crawl path, 5–10 quality links/month early, layer socials & citations; avoid unnatural velocity spikes.Why it works: high topical alignment + clean intent matching. (Jesper’s background in cloud stacking/YACSS and SchemaWriter.ai complements this with structured data & internal “powerstack” patterns.) Sponsor This episode is brought to you by Graphed — the AI-native analytics platform that builds dashboards from plain English. Connect GA4, ads, CRM, GSC, and Sheets to get KPI boards in minutes. Learn more: https://graphed.com/

Billboards at $0.75 CPM. Streaming TV you can actually measure. Tim Rowe breaks down how to blend OOH + CTV to drop blended CAC, spark geo-lift, and build “living-room” brand equity—without massive budgets. Streaming has turned TV into a performance channel you can buy, cap, and measure like digital—often at CPMs rivaling or beating social. Tim explains how their ad server + pixel connect living-room exposure to down-funnel actions, with many brands seeing $3–$4 cost per visit and 3–4× higher conversion vs other traffic sources. On OOH, the overlooked arbitrage is static or digital boards priced like real estate: win by buying the biggest formats in the largest markets at the lowest biddable entry price, then engineer earned media (social virality) and geo-lift. Start with ~$5k for a real CTV test (smaller tests can still work as an add-on), measure blended CAC, branded search, and market-level lift, and let creative—not hyper-granular targeting—do the heavy lifting. Guest Website: https://cognitionads.com/LinkedIn: https://www.linkedin.com/in/troweactualX (Twitter): https://x.com/oohinsiderTim’s newsletter/resource hub: https://stateofstreaming.com/ What You’ll Learn Why streaming made TV relevant again—and cheap ($1–$2 CPMs in some geos).How to attribute TV exposure → search → site visit → purchase within a 48-hour view-through window.The out-of-home (OOH) arbitrage: buying big signs in big markets for sub-$1 CPMs.How OOH + CTV lower blended CAC and lift branded search in target geographies.Practical first tests: budgets, pixels, frequency caps, creative, and geo measurement.Event playbooks: digital billboard trucks, rideshare screens, street teams, and QR flows.Targeting reality: on CTV, less targeting often wins—use creative as the filter.Retargeting on TV (yes): pixel site traffic and follow with CTV/audio/display. Timestamps & Chapters 00:00 — Why TV is “back”: streaming CPMs and geo-targeted buys01:30 — Direct attribution: 48-hour view-through from TV → search → site → purchase03:45 — OOH primer: static vs digital, programmatic buys, and PMP tips06:05 — The arbitrage: big boards, big markets, tiny CPMs (often $1)09:15 — Measuring lift: branded search, Search Console, geo-heatmaps, blended CAC12:10 — Earned media by design: turning boards into social fuel15:20 — Event playbook: mobile LED trucks, rideshare TV, coffee-cart sponsorships18:05 — CTV mechanics: ad server + pixel, frequency caps, “hands on keyboard” setup21:10 — Budgeting your first test (~$5k) and what “good” looks like23:00 — Targeting truth: broad wins; use creative, use your 1P data for segments/lookalikes26:10 — Retargeting on TV and building a full streaming funnel28:00 — Who this works best for (DTC, local services, ABM/SaaS, events)30:00 — Getting started and where to reach TimPlaybooks & How-Tos 1) Fast OOH Test (2–4 weeks) Pick 1–2 large markets your sales team targets.Buy largest formats you can afford (static or digital) at the lowest CPM; test via https://www.blipbillboards.com/ (entry-level) or via PMPs/direct with operators.Creative: one bold claim + large logo + simple URL/QR. Design for 0–3 second read.Measure: branded search & direct/organic sessions from those geos; compare pre/post.2) Streaming TV (CTV) Starter Pixel your site (for attribution + retargeting).Launch a broad geo campaign; cap frequency; rotate 1–2 :15–:30 creatives.Budget: aim for $5k to reach statistical signal; smaller ($1.5–$2k) still useful as a display-like add-on.KPI: cost per visit ($3–$4 is common in Tim’s data), conversion rate lift vs other traffic, branded search lift, blended CAC shift.3) Event Swarm Tactics Digital billboard truck looping near venue entrances all day.Rideshare TV for the event radius; add a QR to capture emails or drive an offer.Street team + product samples or demo cards; sponsor a coffee cart beside the venue.Key Takeaways (Skimmable) CPMs: OOH can hit ~$0.75; CTV often $1–$2 in the right geos.Attribution: Use a 48-hour view-through window from TV exposure to on-site actions.Blended CAC: Expect downstream CAC reductions across channels from brand lift.Targeting: On CTV, broader = cheaper CPMs and often better performance; let creative and 1P audiences do the work.Budget: $5k is a solid first test; smaller tests still demonstrate directionality.Creative: Be bold; engineer shareable moments to multiply paid with earned.Links & Resources Mentioned Cognition Ads (Tim’s company): https://cognitionads.com/ State of Streaming (news & insights): https://stateofstreaming.com/ Blip (entry-level digital billboards): https://www.blipbillboards.com/ The Trade Desk: https://www.thetradedesk.com/ DV360: https://marketingplatform.google.com/about/display-video-360/ Google Search Console (measure geo-lift): https://search.google.com/search-console/about Sponsor This episode is brought to you by Graphed — an AI-native analytics platform that builds dashboards from plain English. Connect GA4, ads, CRM and get KPI boards in minutes. Learn more: https://graphed.com/

Founders are ditching pure outbound for “community → product” funnels. Jacky Chou (Indexsy) breaks down a modern SaaS GTM: build audience, educate in a community, sell the tool that powers the play. We go deep on local SEO (map pack), YouTube as the highest-intent acquisition channel, Reddit/parasite SEO mechanics, and how LocalRank grows by educating & productizing services. Guest Jacky Chou — IndexsyWebsite: https://jackychou.com/ YouTube: https://www.youtube.com/@indexsy X (Twitter): https://x.com/indexsy Brought to you by Graphed — AI data analytics you can chat with. Connect your data, build live dashboards in minutes: https://graphed.com What You’ll Learn The community-led SaaS funnel (audience → community → teach → tool)Local SEO 80/20: reviews, citations (NAP consistency), and CTR signalsWhy YouTube drives the most buyer-ready traffic for niche softwareParasite SEO & Reddit tactics to earn visibility and brand mentionsHow “education first” communities expand TAM and reduce CACCold outreach that feeds branded search and category creationChapters 00:00 Intro — Why the SaaS funnel is shifting to community-led 01:45 Local SEO 101: map pack vs. organic results 03:40 The 80/20: reviews, citations/NAP, CTR signals 06:10 Tactics for generating reviews & citations (pros/cons, risks) 09:55 Indexing citations faster; NAP consistency checklist 12:40 Community-led growth & seeding new agencies on LocalRank 15:05 Why local SEO is “stupid easy” right now (and where it’s competitive) 17:30 Prospecting & pricing: pick high-CPC verticals, value-based fees 20:15 Packaging offers: guarantees, radius games, productized services 22:40 The funnel behind LocalRank Academy → software upsell 25:20 Paid vs. organic: X threads, remarketing, long email drips 27:15 Launch data: YouTube > X for paid conversions at launch 29:10 Reddit distribution, parasite SEO, and gaming brand mentions 32:20 Cold email that drives site visits (naked domains, link timing) 35:05 Manufacturing branded search & CTR spikes (digital PR ideas) 38:10 AI Search (AISCO): what (might) influence LLM surfaces today 43:05 Building moats: being the practitioner, faster iteration loops 46:10 Experiments, ethics & sustainability of “gray-hat” tactics 49:10 Where to find Jackie & final CTAs Key Takeaways Community beats cold: educate first, then sell the tool that powers the play.Map pack wins local: Reviews + consistent NAP citations + real-world engagement drive outsized results.YouTube converts: Long-form demos/education create buyer-ready traffic for niche SaaS.Branded search compounds: Cold email, content, PR, and job posts can stimulate searches for your name/category.TAM expansion via education: A paid community can breakeven ad spend and prime higher-ticket software deals.

Today we break down why “influencer marketing” (renting audience) is losing to creator-based marketing (renting skill at making viral content) — and how to run it like a system. Guest Robert Lukoszko, founder of Stormy AI, shows how their agent finds creators, pulls contacts, sends DMs/emails, follows up, and even negotiates packages before you step in. We get tactical on budgets, pricing, UGC hiring, TikTok vs YouTube strategy, measurement, and building a compounding “surface-area” of content across the web. Brought to you by Graphed.com — connect your data, ask in plain English, ship shareable dashboards. Guest Website: stormy.ai Robert Lukoszko — LinkedIn: linkedin.com/in/karmedge X (Twitter): @Karmedge What you’ll learn Creator vs Influencer marketing: Why FYP-driven platforms reward great content over big followings — and how to “rent” creators’ skill instead of their audience.The scalable workflow: Brief → research → outreach (DM/email) → qualify → negotiate packages → handoff to human for final approval.TikTok UGC machine: Hire 1–3 full-time UGC creators posting 2–3 shorts per day; test cheaply, then double down on breakout templates.YouTube packages that work: Three-video bundles over ~6 weeks build trust & lift; use retainers for your top performers.Negotiation scripts that convert: Lead with “Paid collaboration” in subject/first line, anchor on value, and offer volume/retainer discounts.Pricing reality check: Typical UGC test pieces land in the ~$20–$100/video range (many sweet-spot wins at $20–$50) for micro/nano creators; salaried UGC in EU markets often $1–2k/mo part-time depending on output and quality.Compounding effects: Viral videos spawn follower videos; repeated sightings increase creator reply-rates and lower CPAs.Agents as team members: Why modern stacks look like small pods of engineers orchestrating many narrow agents (research, outreach, follow-ups, CRM status, stop-conditions).Chapters & Timestamps 00:00:00 — Cold open: “Stop influencer marketing. Start creator marketing.”00:01:17 — Sponsor: Graph.com (AI dashboards from plain English)00:02:26 — Guest intro: Robert (Founder, Stormy AI) + why YouTube/TikTok matter00:03:49 — The pain of manual outreach and why Stormy exists00:05:55 — How Stormy’s research agent finds/qualifies creators (views, recency, fit)00:08:15 — TikTok/UGC playbook: daily shorts, test → double down00:10:04 — It’s a numbers game: post volume & breakout templates00:12:00 — “Surface area” strategy: AI pulls from the open web; brand search as moat00:15:03 — Validating features with viral demos before shipping00:17:02 — Building in public: rapid iteration with creator feedback00:18:00 — Outreach mechanics: DMs, scraping bios/Linktree, multi-source emails00:20:06 — Copy that converts: lead with “Paid collaboration” + template tips00:21:46 — Scale metrics: ~200 messages/day across rotated inboxes; reply-rate ranges00:23:29 — Brand effects: recognition boosts replies; upfront vs affiliate by stage00:26:01 — Compounding virality: trend templates, creator social proof00:29:03 — Pricing: $20–$100 UGC tests; sweet spot $20–$50; EU part-time $1–2k/mo00:29:53 — Agentic negotiations: packages, volume, follow-ups, human handoff00:31:04 — Guardrails: budget anchoring, stop-conditions, funny “PayPal link” story00:35:05 — Toolbelt of agents: research, outreach, CRM updates, payments, bulk sends00:36:01 — Architecture: many narrow agents > one monolith00:37:51 — Future: fewer humans in the loop; AI influencers; approvals as human role00:39:16 — Can businesses run themselves? Media = growth flywheel00:41:11 — Hiring philosophy: engineer-heavy teams (Gary Tan advice)00:43:46 — Wrap + where to find Robert & Stormy Playbooks & templates (steal these) Outreach subject lines (email/DM first line): “Paid collaboration: {Brand} x {CreatorName} — 3-video package”“Paid promo + affiliate: {Brand} (fast approvals, simple brief)”First message (short DM/email): “Hey {Name} — we’re {Brand}, a {1-line what you do}. Paid collaboration: 1 test short this week (${offer}) + option to extend to 3-video bundle over 6 weeks. You keep creative control; we provide brief + examples. Interested? If yes, quick details + rate card?” Negotiation levers: volume (3-pack → 6-pack), multi-month cadence (1/mo), affiliate top-ups on performance, first-video discount, creative templates proven to hit. UGC hiring filter: Look for micro/nano creators (10k–50k) with at least one breakout (e.g., 500k+ views) in your niche; they have the “spark” but are still rationally priced. (Stormy highlights this pattern in search/fit scoring.)  Key quotes (pull-ready) “Creator marketing rents skill at making viral content — not just an audience.”“It’s a numbers game twice: mass outreach, then mass posting — let the winners emerge.”“Lead with ‘Paid collaboration’ so creators instantly know there’s budget.”“Templates win. When a format pops, clone it and scale with more creators.”Sponsor Graphed.com — Connect your SaaS/GA4/Shopify/data warehouse → ask in plain English → get dashboards & ad-hoc analysis; share with clients or your team in one click. (Free 10-seat trial for listeners — link in description.)

AI “agents” have been hyped to death—but very few are truly delivering real-world impact. In this episode, we cut through the vaporware with Christian Wiens, co-founder of Loman, an AI voice agent platform transforming how restaurants handle customer calls, orders, and reservations. Christian shares how Loman went from a two-person idea to serving hundreds of restaurants and hitting $1.5M ARR in record time. We dive into why voice is the most natural, context-rich way for humans to communicate—and how AI agents that do real work (not just answer questions) will change how we interact with businesses forever. You’ll hear how Loman’s restaurant agents integrate directly with POS systems to take orders end-to-end, the surprising reasons Gen Z prefers talking to AI over humans, and why the future of a brand’s “front door” may be an AI personality instead of a website. Christian also breaks down Loman’s explosive growth playbook—from ditching cold email for native social ads, to filming on-location customer stories that convert like crazy. We cover the realities of AI-generated ads, programmatic SEO, and why outcome-driven automation is the only AI worth paying for. What You’ll Learn in This Episode What really defines an AI agent—and why most products don’t qualifyHow voice-based AI can capture richer customer context than any app or formThe operational pain restaurants face with missed calls and how AI solves itWhy customers don’t care if it’s AI or human—only that it gets the job doneGen Z’s surprising comfort with AI calls (and discomfort with human ones)The two make-or-break factors every AI agent needs to succeedHow to create “native feel” ad creatives that crush on socialWhy hyper-specific vertical integration beats horizontal AI every timeThe massive untapped potential for outbound AI voice (and the legal gray areas)Christian’s vision for a future where AI agents replace websites as the primary customer touchpointChapters 00:00 – Intro & The AI Agent Hype vs. Reality 04:18 – What an AI Agent Really Is 09:02 – Why Voice Is the Ultimate Interface 13:47 – The Restaurant Industry’s Missed Call Problem 18:25 – Gen Z’s Comfort with AI Calls 22:58 – Vertical vs. Horizontal AI Strategies 27:41 – Loman’s Explosive Growth Playbook 32:16 – Ads That Feel Native & Convert 37:08 – Outbound AI Voice & Legal Considerations 42:55 – The Future: AI Agents as the New Websites 47:20 – Closing Thoughts & How to Connect with Christian Connect with Christian Wiens: LinkedIn – https://www.linkedin.com/in/christianwiens/Website – https://www.loman.ai/

If your LinkedIn feed looks like a museum of giant n8n screenshots and “comment to get the guide” posts…good. That means the playbook works—when you do it right. Paolo breaks down the exact framework his agency uses to turn LinkedIn into a repeatable inbound lead engine for B2B—especially SaaS, agencies, and info businesses. What You’ll Learn Lead magnet mechanics that still crush: how to pick the right asset (templates vs. guides), formats that perform (Notion docs, Miro boards, short scroll videos), and the “perceived value + curiosity + scarcity” combo.Hooks that make people click “See more”: trigger desire, fear, or curiosity in the first 3 lines.Pattern interrupts that boost reach: why oversized workflows, zoom-ins, and 10-second sped-up videos spike hover time and help the algo.Profile-as-landing-page: how to structure your headline, Featured section, and CTAs to funnel traffic without tanking post reach.Nurture after the comment: DM prompts that qualify intent, when to drop case studies, and how to avoid low-intent “free audit” traps.Where this shines: B2B SaaS, agencies, consultants/coaches—audiences that are active on LinkedIn and buy from content.Paolo’s Playbook (Step-by-Step) Pick the problem (one ICP pain your offer solves).Choose the asset format based on buyer type:Done-for-you buyers → plug-and-play templates.Education/info buyers → guides/videos.Design the preview media to signal value and create curiosity:Notion table of contents screenshot, massive Miro flow, or a 10-sec scroll video.Write the post like this:3-line hook (desire/fear/curiosity).Promise + what’s inside.CTA to comment (optionally “repost for priority”).Light scarcity (e.g., 48-hour window).Delivery & DMs:Send the asset, ask an easy reply (“Are you posting on LinkedIn yet?”).Qualify with 1–2 follow-ups, then make a clear offer with outcomes + timeline (+ guarantee if you have one).Nurture cadence (next 2–3 days):Day 1: Case study (story format: before → intervention → after; CTA to book).Day 2: Technical value post (lower engagement is fine; it nurtures).Add strongest case studies to Featured on your profile.Links without nuking reach:Push to profile/Featured or drop links in comments; edit the post later to add the link after it’s cooked.Tactical Nuggets Comments > Likes (weightier signal + more hover time).Avoid bot pods; if you coordinate engagement, keep it real accounts and relationships.For SaaS without a free trial, push to a free setup/usage guide that inherently requires the product.Use storytelling in case studies; people remember transformations, not dashboards.If you’re running volume lead magnets, expect lower engagement on deep-dive posts—that’s normal and still effective.Tools & Formats Mentioned Notion (TOC screenshot as lead magnet preview)Miro (big workflow screenshots)n8n (automation diagrams that stop the scroll)Short scroll videos (10–15s, autoplay pattern interrupt)AI voice agent (optional MOFU experiment to educate and qualify at scale before handing off to a human)Who This Works Best For B2B SaaS (often top performer)AgenciesConsultants/CoachesAny ICP that’s active on LinkedIn and buys based on content/authoritySponsor Talent Fiber — Hire world-class global talent (engineers with 7+ years’ experience, U.S. time zones, excellent English) at ~⅓ U.S. cost. They’re an outsourced HR partner, handling compliance, payroll, and employee happiness—with a free replacement if it doesn’t work out. Learn more: talentfiber.com Connect with Paolo LinkedIn: https://www.linkedin.com/in/leadgenwiz/