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In the Pit with Cody Schneider | Marketing | Growth | Startups: Daily Summaries Delivered
by Cody Schneider
In the Pit shares what founders and marketers are seeing from the front lines. Join host游戏副本
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- 3 days ago49 min
This Guy is Sending 250,000 LinkedIn DMs a Month, Here's the Exact System
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/
- 1 weeks ago48 min
Skip Zapier, Go Straight to Code: GTM Engineering Explained from the Front Lines
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 criteria05:29 — Skip Zapier and n8n entirely, go straight to code08:31 — Your GitHub repo is your GTM portfolio32:29 — The job-change bot: vibe-coding UserGems and what made it hard
- Apr 14, 202650 min
Why Memes Beat Rage Bait for Real Revenue Growth
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.GuestJason 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/iamjasonlevinWhat You’ll LearnWhy 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 Marketing00:21 - Guest Introduction: Jason Levin from Memelord.com00:41 - Memes vs Rage Bait Marketing01:13 - Tactical Meme Marketing Strategies02:24 - The Importance of Branding and Trust03:27 - Rage Bait vs Smart Bait Philosophy05:01 - Why Meme Marketing Drives Revenue06:43 - Building Trust in B2B Through Humor08:13 - Niche Meme Accounts and High-LTV Distribution10:19 - The Problem with Rage Bait Culture in Silicon Valley15:00 - Inside Memelord.com: Product, Demo & AI Tools30:43 - Scaling Distribution, Verified Orgs & MeasurementKey Topics & Insights1. Rage Bait Gets Attention — But Not RevenueThere’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 ScaleMemes 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 StrategyMemes 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 EngineModern 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 StrategyScaling 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 XA key growth hack discussed:$1,000/month for verified orgAbility to spin affiliate meme accountsNetworked distribution across accountsThis creates ubiquity and compounding reach.
- Dec 29, 20253 min
You Should Only Focus on Increasing Branded Search Volume in 2026
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 LearnWhy 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 timeTimestamps00:00:00 - 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 & Insights1. 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 → SocialIf 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 ProblemThe 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 MattersHere’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 MoatThis 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 you<li
- Dec 22, 202543 min
Find All the Citations ChatGPT is Using to Answer Your Target Customer's Questions
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.GuestShawn 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 LearnWhy 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 resultsTimestamps00:00 — 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 & Ideas1. 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, AuthorityTechnical — 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 Citations10k–15k citations may exist200–300 matter1–3 actually move the needleIf you’re not in those, conten
- Dec 11, 20256 min
Ranking Your New Startup Domain for Your Brand Name
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 LearnWhy 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 TLDTimestamps00:00 — 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 & Insights1. Ranking for Your Brand Name = Early-Stage TrustIf 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 NameAvoid 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 BehaviorOnce 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 DomainGoogle 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 AdsRun 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 DomainConsumers 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
- Nov 20, 202546 min
Is vibe coding a bubble or skill Issue? Tactics to actually ship usable products
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.GuestJacob 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 LinksWebsite: https://www.creme.digital/LinkedIn: https://www.linkedin.com/in/jacob-klug-37b254156/X (Twitter): https://x.com/JacobsklugWhat You’ll LearnWhy 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 possibilitiesTimestamps00:00 — 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 agenciesKey Topics & Ideas1. 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 MVPsEvery 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 ToolsPeople 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 ToolsHalf 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-GeneratedGood design is still the hardest and biggest edgeCreme process: build a /components library, define buttons/cards/inputs, assign stable IDsTools: Mobbin, Figma Commu
- Nov 19, 20254 min
AI Fanning Explained - what happens between user query and AI output and how to exploit it
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
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In the Pit shares what founders and marketers are seeing from the front lines. Join host游戏副本
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