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Growth Newsletter: https://levelingup.beehiiv.com/subscribe Need marketing help? Visit: https://www.singlegrain.com/ and https://npdigital.com/Want to recruit great marketers? Find them here: https://marketingschool.io/hire Eric shows the Jev use cases he is running for his teams, from classifying every Instagram follower to scoring hooks and offers across competitors for a few dollars. Neil explains how his Muse agent now writes the follow-ups on M&A deals he first discussed two or three years ago, and why he gives Meta access he would never give the AI labs. Eric predicts Google and Apple will each ship their own Muse, and they compare it with OpenClaw. Then the story of an AI answer nobody checked and why Neil told them he would fire the person, followed by the core idea: AI is leverage, and leverage on a bad position just loses you money faster. They close on an $80M real estate pitch Neil walked away from. A practical episode on putting AI agents to work. Key takeaways◾Classification at scale now costs dollars, not an analyst's week◾The deals you close come from follow-ups on talks two or three years old◾AI is leverage: it multiplies good judgment and bad judgment equally Chapters00:00 Jev use cases for marketers02:50 Neil's AI writes his M&A follow-ups06:02 Prediction: Google and Apple ship their own Muse07:53 OpenClaw vs Muse11:13 'I would fire you': AI output nobody checked13:07 Slop cannons in an AI-native company13:54 AI is leverage15:11 The $80M real estate pitch17:12 Location, location, location

Growth Newsletter: https://levelingup.beehiiv.com/subscribe Need marketing help? Visit: https://www.singlegrain.com/ and https://npdigital.com/Want to recruit great marketers? Find them here: https://marketingschool.io/hire Eric brings Peter Diamandis's take that Nvidia's greatest moat, CUDA, is leaking now that AI can port code to any chip, and why Jensen bought Mellanox years ago to own the interconnect instead. They debate the three moats that survive: speed of reinvention, capital velocity and brand. Neil keeps brand, drops capital after Harry Stebbings' three rounds in three weeks, and adds talent density, showing six of the top ten companies come from the Bay Area. Then Meta Muse: the $14B Scale bet Neil admits he would never have made, Eric's bot Doodoo picking his wardrobe, and Muse plus Jev sorting 116,000 followers for $3.30. It ends on the personality test that explains the show. A sharp episode on what still protects a business. Key takeaways◾Your moat lasts until the next one; speed of reinvention is the durable edge◾AI shoppers still buy brands, because people tell them what status looks like◾Neil waits for proof, then bets big; Zuckerberg bet first and won Chapters00:00 Nvidia's CUDA moat is leaking02:29 Neil: brand is a moat, capital isn't03:35 Harry Stebbings: three rounds in three weeks05:07 Six of the top 10 companies come from the Bay07:02 The three moats that survive09:13 Neil: AI shoppers still care about brand11:46 Meta Muse and Scale's $14B bet12:16 Doodoo picks Eric's wardrobe13:04 Muse + Jev sort 116K followers for $3.3014:29 Neil's influential followers15:43 Why Neil waits for proof, then bets big18:11 Why this podcast works: persist vs change19:03 The personality test: 99% vs 1%20:50 Empathy at work

Growth Newsletter: https://levelingup.beehiiv.com/subscribe Need marketing help? Visit: https://www.singlegrain.com/ and https://npdigital.com/Want to recruit great marketers? Find them here: https://marketingschool.io/hire Shopify's Tobi Lutke has a name for AI work nobody reviewed: a slop grenade. Eric explains how it lands on your desk and blows up your day, and Neil says AI simply reveals who is lazy and who is great. At his conferences almost everyone uses AI, but fewer than 5% edit what it writes, which is why so much marketing now looks the same. They build a policy on air: an emailed warning, then a write-up, then termination, and Eric argues growth only comes from discomfort, from SpaceX to training to failure. The episode closes on a 64-year-old SEO who spent $40K on his own AI rigs because nobody had to tell him to. A blunt episode on standards in the AI era. Key takeaways◾AI amplifies what is already there, good work and lazy work alike◾Fewer than 5% of people edit AI output; that is why it all looks the same◾Put a paper trail on slop grenades: warning, write-up, then out Chapters00:00 Slop grenades: AI work nobody reviewed01:56 Neil: AI shows you who's lazy04:35 Thinking Machines: AI amplifies intelligence06:36 Less than 5% edit what AI writes08:43 The 'is this your best work?' rule10:38 Warning, write-up, termination12:28 Growth comes from discomfort: SpaceX13:24 Train to failure, work to failure15:39 The 64-year-old SEO who spent $40K on AI rigs

Growth Newsletter: https://levelingup.beehiiv.com/subscribe Need marketing help? Visit: https://www.singlegrain.com/ and https://npdigital.com/Want to recruit great marketers? Find them here: https://marketingschool.io/hire Neil explains why he despises coaches who sell how to get rich, and Eric separates them from the Bill Campbells and Matt Mocharys who coached Apple, Google, Coinbase and OpenAI without charging founders. Neil reads a cold pitch promising him an extra million a year and Eric dissects why it fails before the first reply. Then the two ideas Eric wants every operator to react to: supermemory killed its viral company brain to protect its core, because unshipping matters more than shipping when anyone can build anything, and Paul Jun of Ramp's brand as software, where a design file carries the brand into every asset so designers do the new work. Neil's take on ChatGPT agent ads, and BugBasher, the Devin agent Ramp gave a card and a phone that made $75 selling pest-control leads in four weeks. A sharp episode on focus, coaching and what AI agents can already do. Key takeaways◾If someone doesn't do the research before your check, it gets worse after it◾When you can ship anything, unshipping is the discipline that keeps you extraordinary◾Codify the brand as software so creative people spend their time on what a system can't predict Chapters00:00 Coaches who sell 'how to get rich'00:48 Two kinds of coaches: Bill Campbell vs the funnel02:03 People who are good at it, do it02:42 The Trillion Dollar Coach and Matt Mochary03:56 Neil reads the cold pitch05:14 What's wrong with that message06:00 No research before the check? It gets worse after07:03 The legendary coaches never charged founders08:25 Proven track record vs get-rich promises09:21 Unshipping beats shipping11:06 Shipping too much makes products harder11:41 supermemory's conflict of interest12:35 Content that wins on X and LinkedIn13:14 Brand as software: Paul Jun of Ramp15:25 Are you working like this? Design files and AI-pilled designers16:10 Boomerang employees prove the vision17:02 ChatGPT agent ads are coming17:35 BugBasher: the AI agent that made $7519:36 Agents that lose you money

Growth Newsletter: https://levelingup.beehiiv.com/subscribe Need marketing help? Visit: https://www.singlegrain.com/ and https://npdigital.com/Want to recruit great marketers? Find them here: https://marketingschool.io/hire Eight Sleep's co-founder says the company does close to $100 million in email marketing with a team of zero after his co-founder built the bots in three days. Neil calls spades spades: email is harvesting demand that other channels paid for, and one person plus AI would beat both. Eric's version is the agent manager, the job he now interviews for. They scroll Harry Stebbings' Instagram, built on tech's most controversial stories, and debate whether that brings a VC the right deal flow. Eric demos Instinct, the $10 billion iMessage agent that planned his travel and got him onto a waitlist that morning, and the pair take apart Roy Lee's Cluely content and the cold TikTok bio a fan made of Neil. The close: Elon, Buffett and Rockefeller became brands by doing the work. A candid episode on headlines, hype and what content is actually for. Key takeaways◾'No employees' is a headline; the channel mix and the humans behind it are the real story◾Sensational content grows an account fast and rarely brings the right customer◾If the product were crushing it, the founder wouldn't have time for viral content Chapters00:00 $100M in email with no employees00:54 Neil: email isn't doing that alone02:29 The agent manager: everyone's next job03:51 Harry Stebbings' Instagram04:46 500 views to 40K: scrolling Harry's reels06:38 Will controversial content bring the right deal flow?07:09 The $10B iMessage startup08:11 Instinct: booking travel and skipping a waitlist10:03 Deal flow vs views: Neil's take10:50 Put your hand on the stove11:14 Accenture doesn't do sensational11:43 Roy Lee (Cluely): 'global rank #1 entrepreneur'14:02 Juiced numbers, and content as a tell15:22 The rich people Neil knows don't make content15:49 A fan's TikTok bio of Neil17:22 Elon, Buffett, Rockefeller: brands from the work

Growth Newsletter: https://levelingup.beehiiv.com/subscribe Need marketing help? Visit: https://www.singlegrain.com/ and https://npdigital.com/Want to recruit great marketers? Find them here: https://marketingschool.io/hire Eric opens with Bryan Johnson's team telling creators to forget the content calendar and iterate, and how he now rewrites and reposts flopped posts by voice on the walk to the gym. Neil's newest test asks viewers to comment for a free audit, and the pairing metric he wants on every social hire is leads, not views. Then enterprise specifics: a three-year contract that grew out of work in one region, why only two to three percent of NP Digital's enterprise revenue traces back to Neil's personal brand, and how ten-person search agencies quietly decide the biggest marketing contracts. Eric opens his Leveling Up channel to show the wide-TAM experiment, 8.9 million views on one short and interviews that got praise from entrepreneurs' spouses but no leads, before Neil explains the acquisition lesson that grows a bought agency's EBITDA 40 to 60 percent in a year and why he follows up with everyone. A grounded episode on measuring what actually pays. Key takeaways◾Pair views with leads for every social hire, or the team optimises for likes◾Wide-TAM content brings views and comments, not enterprise leads◾Buy the specialist that big brands already call; the follow-up is where the deals are Chapters00:00 F your content calendar01:36 Comment-to-lead: the 37-places reel03:34 Every metric needs a pairing metric04:17 NP Digital vs NP Accel: where SMB leads go04:53 A format library your agent keeps fresh06:09 A 3-year contract from one region's work07:56 Stop creating content for 90 days?08:22 6% of enterprise leads come from Neil's brand08:58 70% of SMB leads, 50% of SMB revenue10:17 Procurement, RFPs and the search agencies11:56 Dan Martell's formats and wider TAM12:52 Seminars and ascension funnels13:34 Eric's wide-TAM experiment on Leveling Up15:17 The shorts: 3.9M, 2.7M, 2.1M views17:02 Why Eric stopped: no leads17:37 Distribution beats content when you have leverage18:44 The acquisition lesson: 40-60% EBITDA growth21:21 The fortune is in the follow-up22:07 'How are things going?' scheduled for March 2027

Growth Newsletter: https://levelingup.beehiiv.com/subscribe Need marketing help? Visit: https://www.singlegrain.com/ and https://npdigital.com/Want to recruit great marketers? Find them here: https://marketingschool.io/hire Eric and Neil open on Meta Muse, Meta's new autonomous agent, and Neil explains why he trusts Meta with it more than OpenAI or Anthropic: Meta has held everyone's data for years and people already live inside its products. Eric shows what his own Muse did in minutes, pulling Ryan Deiss's best Instagram formats and rewriting them for his channel, and argues that formats are now the job. Then the real debate: Neil says almost all of their content is still too broad, that specific content for a specific buyer drives revenue even at a fifth of the views, and that a room of enterprise marketers in Ecuador proved it when two or three percent knew he ran an agency. They land on a secondary hook, one line that says who you are and what your company does, placed wherever it sounds natural. A practical episode on trust, formats and making your content pay. Key takeaways◾Trust decides which AI agents win, and Meta starts with more of it than the labs◾Let an agent keep your format library fresh so you can just record◾Specific content converts; add a one-line credibility hook so buyers know who you are Chapters00:00 Meta Muse: Meta's autonomous agent00:34 Why Neil trusts Meta more than OpenAI02:35 Eric, the GrokBot team and Ryan Deiss03:49 Ryan's Instagram: niche or broad?05:46 Tier lists and reactions: the formats that work06:49 Eric's Muse rewrites Ryan's formats08:01 Neil: all three of us are still too broad09:50 Danger gets views: Nick Shirley10:47 A 100K-view video can be a great video11:44 Ecuador: 3% of the room knew Neil had an agency13:25 Accenture, TAM and who you're really selling to15:22 The secondary hook: say who you are16:50 Where the mention goes: wherever it's natural17:27 Test it: from 3% to 10% in a year

Growth Newsletter: https://levelingup.beehiiv.com/subscribe Need marketing help? Visit: https://www.singlegrain.com/ and https://npdigital.com/Want to recruit great marketers? Find them here: https://marketingschool.io/hire It took 64 clicks to buy a Tesla online, 30 of them signing loan documents. Eric explains the five-step algorithm from the book of the same name (question, delete, simplify, speed up, automate) and how it 20x'd Tesla's website sales. Then the data: AI-generated ads are beating human creative on completion rate (92% vs 90% on connected TV), Shopify's Q2 shows $116 billion in GMV and a platform built for AI agents, and Neil's case that SEO and GEO are merging into one thing, brand. Eric on the new agents he is testing, Instinct and Meta Muse, and the week's grand finale: Rohan Nayak's post on how Pocket FM went from zero to $500 million in ARR with an AI ad machine that makes 17,500 ads a month. Key takeaways◾Question, delete, simplify, speed up, then automate; most people automate first and fail◾SEO or GEO, the long game is brand; you have to show up everywhere◾A 2% to 2.25% CTR lift cut Pocket FM's CAC by 30%; build the ad machine around that insight Chapters00:00 Tesla 20x'd website sales: 64 clicks to 301:35 Buying a car on a website02:55 AI ads beat human creative on completion04:19 Shopify Q2: $116B GMV and AI commerce05:38 SEO and GEO are merging into brand08:04 Search everywhere optimization, again10:49 A SaaS company diversifying off SEO11:46 Instinct and Meta Muse agents14:15 Pocket FM: $0 to $500M ARR with 17,500 ads a month17:11 Build your own ad machine

Growth Newsletter: https://levelingup.beehiiv.com/subscribe Need marketing help? Visit: https://www.singlegrain.com/ and https://npdigital.com/Want to recruit great marketers? Find them here: https://marketingschool.io/hire Eric and Neil open up their own marketing week. Eric's $250 test assignment that turned into a $2,000 quote, the GrokBots he built in his free time (a call bot that phoned a spa and confirmed a booking, a haggle bot renegotiating every software bill, and a speed-to-lead bot that calls every form fill within 60 seconds), and the 2x2 he uses to decide which agency work becomes a reusable workflow and which gets killed. Neil on speed to learning, why wins on one channel take too long to reach the rest of the company, and how he finds agencies that stopped growing and buys the ones losing deals only because they are too small. Then the social tests: Neil's new screen-share format and LinkedIn engagement scraping, Eric's comment-to-DM flow with Lead Shark and Goji Berry, and the YouTube video that was edited entirely by AI. Key takeaways◾Every lead gets a call within 60 seconds; a bot can do it and sound good◾Speed to learning is the bottleneck: move a win from one channel to every channel fast◾Reusable workflows beat custom premium work; build them, then hand them to the team Chapters00:00 Our marketing week: the $250 test that failed02:42 The GrokBot that booked Eric's massage04:17 Haggle bot and speed-to-lead in 60 seconds05:18 Neil: speed to learning07:46 Buying agencies that stopped growing10:24 Eric's 2x2: reusable workflows13:14 Neil's new screen-share format15:40 Scraping your LinkedIn engagers16:38 Comment-to-DM with Lead Shark and Goji Berry18:21 YouTube: relevant views beat viral views19:54 A fully AI-edited video22:16 AI thumbnails that actually look like you

Growth Newsletter: https://levelingup.beehiiv.com/subscribe Need marketing help? Visit: https://www.singlegrain.com/ and https://npdigital.com/Want to recruit great marketers? Find them here: https://marketingschool.io/hire Nike's market cap peaked at $280 billion in 2021 and has lost $223 billion since. Eric walks through Trung Phan's breakdown of how it happened: McKinsey advised Nike to eliminate its running, basketball and soccer categories, the marketing budget moved from brand advertising to programmatic retargeting, and hundreds of wholesale partners were cut for a direct-to-consumer bet that collapsed when shoppers went back to stores. Neil on why consultants who never ran a business should not be running yours, and why a kid asking for Nikes is what good brand advertising looks like. Then LeBron James' Polymarket partnership and why both hosts call it brand eroding, and the shirtless YouTuber Eric calls the Sam Sulek of e-commerce. Key takeaways◾Nike cut what worked (categories, brand ads, retail partners) for what was easier to measure◾A brand is what people say about you when you're not in the room; retargeting does not build it◾It takes decades to build a brand and five minutes to erode it Chapters00:00 Nike lost $223B: McKinsey killed the categories01:32 Consultants who never ran a business04:06 Locked in: adapt or die04:34 Nike swapped brand ads for retargeting06:36 Why kids wanted Nikes07:59 Neil's Tesla09:16 Nike burnt its wholesale partners10:07 LeBron x Polymarket: a brand-eroding move13:07 The Sam Sulek of e-commerce15:22 What views actually matter

Growth Newsletter: https://levelingup.beehiiv.com/subscribe Need marketing help? Visit: https://www.singlegrain.com/ and https://npdigital.com/Want to recruit great marketers? Find them here: https://marketingschool.io/hire Wil Reynolds of Seer Interactive says agency owners are dishonest about how business is really going, and that most have been flat for three or four years. Eric reads the post and Neil agrees the downturn started around 2022 and is the longest he has seen, then explains why NP Digital kept growing anyway. Eric's take: the agencies dying are the ones still doing what they did five years ago, and tough markets are exactly when adaptable founders win the deals against the holding companies. The episode closes on the part of being a founder nobody talks about: watching the people you trained go on to build their own companies, why mindset separates the people who survive the downs, and why a business win feels the way it does. Key takeaways◾Be honest about how business is going; it keeps leads and opportunities flowing to you◾The agencies in trouble are still running the 2021 playbook; adapt or die◾You can't train mindset, and hard years are what build it Chapters00:00 Agency owners are lying about how business is going (Wil Reynolds)01:41 Neil: why NP Digital is still growing03:54 Eric: adapt or die, the invisible hammer07:06 Flat for 4 years? You're doing the same thing08:06 The burn-victim YouTuber: keep going10:34 If you're going through hell, keep going11:14 The best part of being a founder12:44 Mindset: people can't handle the downs13:48 The business high

Growth Newsletter: https://levelingup.beehiiv.com/subscribe Need marketing help? Visit: https://www.singlegrain.com/ and https://npdigital.com/Want to recruit great marketers? Find them here: https://marketingschool.io/hire Eric asks Neil to finally explain digital PR and how it helps with AEO and SEO. Neil gets there via a Huawei phone with a screen on the back, how ByteDance ran AI inside Lark two years before the rest of us, where America really ranks in K-12 education (34th, per Google AI Mode), what China mandates instead, and the FOMO playbook behind Alpha School's marketing. Then the answer: digital PR is the new link building, you're optimizing for the mention, not the link, and you want your product included everywhere the models read. They close on the only marketing advantage that compounds: consistency. Key takeaways◾Digital PR is optimizing for the mention, not the link. That's what the models read◾America ranks 34th in K-12; China mandates 9 years and tracks 40% into vocational paths◾Consistency compounds. Grey-hat wins evaporate, and one channel is never enough Chapters00:00 What is digital PR, actually?00:27 Huawei's phone with a screen on the back01:07 ByteDance and Lark were doing this two years ago02:43 America is 34th in K-12 (Google AI Mode)05:36 Compulsory schooling: US vs China06:14 Alpha School's FOMO marketing10:28 Digital PR: optimize for the mention15:15 Consistency compounds

Growth Newsletter: https://levelingup.beehiiv.com/subscribe Need marketing help? Visit: https://www.singlegrain.com/ and https://npdigital.com/Want to recruit great marketers? Find them here: https://marketingschool.io/hire New Ramp data says 80% of OpenAI and Anthropic's enterprise revenue comes from 1% of their customers, a concentration risk unseen in any other software category. Eric and Neil dig into what that means for the AI trade and for every company betting on it. Then Tomasz Tunguz's five-year writing data: AI didn't reduce his editing, it raised the quality floor, and the weakest posts gained twice as much as the strongest. Plus ICONIQ's headcount report (the 100%+ growers added 133% more headcount while the 50-100% band cut hiring almost in half), YC's product-market-fit data on user conversations, and a detour into foldable phones. Key takeaways◾1% of customers drive 80% of OpenAI and Anthropic's enterprise revenue. That's the risk◾AI raises the floor of your work, it doesn't shrink the effort◾10+ user conversations a week is the most predictive variable for finding PMF Chapters00:00 80% of AI revenue from 1% of customers (Ramp)03:29 AI productivity raises the floor (Tunguz)04:55 ICONIQ: who's still hiring in 202609:07 YC data: the one variable that predicts PMF13:03 Foldable phones and the China gap

Growth Newsletter: https://levelingup.beehiiv.com/subscribe Need marketing help? Visit: https://www.singlegrain.com/ and https://npdigital.com/Want to recruit great marketers? Find them here: https://marketingschool.io/hire Eric introduces the new AEO: Autonomous Engine Optimization, the AI harness Nick Eubanks used to grow a 12-week-old website, and why every sales call and customer conversation inside your company is a page waiting to be published. Then the self-improving product has arrived: Amplitude's Wave agent found its own problems and shipped fixes worth +160% engagement and a 6% to 9% onboarding lift. Eric and Neil also pick apart OpenAI's GPT-6 Astra launch, the five things that took Andrew Warner's new YouTube channel to 937,000 views in a month, how B2B buyers now find agencies through Claude, and why the best salespeople sell like doctors. Key takeaways◾AEO now means autonomous: content creates, drafts and ships itself with a human in the loop◾Self-improving products are live: Wave found and fixed real conversion problems on its own◾On YouTube, info calls, retention data and trending topics beat subscriber counts Chapters00:00 The new AEO: Autonomous Engine Optimization03:07 Self-improving products: Amplitude's Wave agent06:44 OpenAI's GPT-6 Astra launch misstep11:37 Andrew Warner: 937K views in a month16:48 How buyers find agencies through Claude21:18 Sell like a doctor

Growth Newsletter: https://levelingup.beehiiv.com/subscribe Need marketing help? Visit: https://www.singlegrain.com/ and https://npdigital.com/Want to recruit great marketers? Find them here: https://marketingschool.io/hire Eric came back from a founder retreat with a hard truth: the AI hackathons and training programs everyone planned in January didn't work, and the companies pulling ahead just raised the talent bar. He walks through the GitHub leaderboard that shows who's actually shipping, why one 200-engineer company is keeping only its top 40, and Neil's long-held view that you can't train mindset. Then the sycophancy trap: why ChatGPT agrees with whatever you feed it, what Neil found when he ran a real recommendation test across an accounting firm, and why most executives still don't understand how these models work. Key takeaways◾You can't train mindset. Raise the bar and hire people who already have it◾A public shipping leaderboard exposes who's really working in about a week◾AI is a sycophant. Optimize for it, don't just ask it follow-up questions Chapters00:00 Stop training, raise the talent bar01:14 The GitHub leaderboard: keep the top 4002:31 Neil: hire amazing people, it solves most problems07:45 The AI therapy trap: it agrees with you13:17 Neil's accounting-firm recommendation test15:54 Three years in, executives still don't get it