Marketing School - Digital Marketing and Online Marketing Tips

Neil and Eric break down how ChatGPT and Google treat Wikipedia differently, why AI search is reshaping SEO, and where AI-generated content wins or fails. They discuss AI content marketing, Google AI Overviews, ChatGPT citations, AI SEO workflows, content automation, 100x employees, ClickUp layoffs, and how creators can use AI for thumbnails, content updates, translations, and scaling marketing without sacrificing quality. • ChatGPT vs Google AI search signals • AI content marketing automation workflows • Why human-edited AI content wins Chapters: (00:00) ChatGPT vs Google Citations (01:31) AI Content Marketing Implications (03:25) Automating SEO Content Updates (05:41) Where AI Content Wins (09:53) AI Content Marketing Examples (13:48) ClickUp, AI, and Layoffs (15:52) The 100x Employee Debate (20:57) AI Stock Market Narratives (23:56) Building the 100x Organization

Neil and Eric discuss AI in business, hiring, marketing, and self-driving technology. They break down the trade-offs between Tesla and Mercedes autonomous driving, why AI should enhance employees instead of replace them, and how companies can use AI apprenticeships to scale talent faster. They also explore AI-powered workflows, marketing efficiency, Google AI Overviews, ChatGPT visibility, and the future of AI-driven business growth. Perfect for entrepreneurs, marketers, founders, and anyone adapting to the AI era. Key Takeaways: • AI creates leverage for employees who use it effectively • Marketing teams need more output, not just lower costs • Google AI Overviews cite brands more often than ChatGPT Chapters: (00:00) New Home and Tesla Trade-Offs (00:42) Business Trade-Offs Explained (03:02) AI Mastermind Costa Rica (05:17) AI Apprenticeship Strategy (07:50) Hiring Success and Failure Rates (09:15) AI Workflow Automation (10:53) Marketing Event in Colombia (11:44) AI and Marketing Jobs (14:26) AI Replacing Employees Debate (15:48) AI Adoption and Competitive Advantage (17:23) AI Overviews vs ChatGPT Visibility

Neil and Eric break down why clipping is taking over B2B tech media, why horizontal videos may outperform vertical content on X and LinkedIn, and how companies like Ramp, Lovable, and Replit are building content factories for distribution. They also unpack Google’s latest AI SEO guidance, including why traditional SEO still matters for GEO and AEO, plus the biggest AI SEO myths marketers keep falling for. Key Takeaways:• Why clipping is becoming the B2B content meta• Horizontal vs vertical video debate for engagement• Google confirms SEO still matters for AI search Chapters:(00:00) Clipping Takes Over Tech Media(01:39) Engineering Content For Clipping(02:45) Horizontal vs Vertical Video Debate(09:41) Google’s AI SEO Guidelines(11:25) Non-Commodity Content Explained(16:42) AI SEO Myths And GEO Hacks(20:09) Marketing A Beverly Hills Home(21:21) Pinterest And Vibe Marketing

Neil and Eric break down OpenClaw founder Peter Steinberger’s $1.3M AI token spend and what it reveals about lean AI startups, automation, and scaling with minimal payroll. They discuss Hermes vs OpenClaw, AI CMOs replacing marketers, why taste and experience still matter in business, Brian Chesky’s comments on people managers, and how AI tools like Claude and OpenAI guaranteed capacity are reshaping software, marketing, and hiring. Key Takeaways:• AI token spend is replacing traditional payroll costs• Experience and taste still outperform AI in marketing• Future managers must be player-coaches and contributors Chapters:(00:00) OpenClaw Token Spend(01:05) Hermes vs OpenClaw(03:49) AI CMO Debate(05:08) AI Can’t Replace Taste(06:24) ClickFlow AI SEO(07:05) Brian Chesky on Managers(09:08) OpenAI Guaranteed Capacity(10:09) Player-Coach Leadership(11:28) Hiring Young AI Talent

Neil and Eric break down why AI search tools like ChatGPT, Gemini, Perplexity, and Google AI Overviews heavily cite listicles, why Google is cracking down on self-published SEO listicles, and how AI-generated content is causing major traffic declines. They also discuss GEO vs SEO, token optimization opportunities, Google’s AI search evolution, and the future of AI consulting, content marketing, and search rankings in the AI era. Key Takeaways: • AI search engines favor listicle content for citations • AI-generated SEO content can trigger massive traffic drops • Token optimization may become a billion-dollar AI service Chapters: (00:00) AI Search Loves Listicles (00:45) Google Cracks Down on SEO Spam (02:33) Short-Term SEO Tactics Fail (05:11) GEO Tools and AI Content Problems (07:16) AI Content Traffic Collapse (10:19) Google vs ChatGPT Search Future (12:00) Google AI Search Updates (14:21) Token Optimization Business Opportunity (16:30) AI Consulting and Token Control (18:47) The Future of AI Pricing

Neil and Eric unpack how to measure the real value of an X account beyond views, why LinkedIn drives 50x more leads for Neil, and the trap of chasing audience capture instead of revenue. They dig into ICP-focused content vs broad TAM plays, parabolic AI stocks like AXT and Lumentum tied to indium phosphide bottlenecks, and the storytelling lessons behind them. The episode closes with a sharp breakdown of rebranding, why Intercom launched Fin, and why Eric spun up Single Brain instead of bolting AI onto Single Grain. Key takeaways ◾Narrow ICP content beats broad views for revenue ◾AI supply chain bottlenecks are driving parabolic stocks ◾Focused brand offshoots convert better than mixed offerings 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 Chapters 00:00 The real value of an X account 02:07 X vs LinkedIn for lead generation 04:00 Breaking down Neil's LinkedIn engagement 06:58 TAM by dollars, not population 10:48 Why chasing views hurts your business 14:05 Karrot LinkedIn personalised ads break 15:52 Parabolic AI stocks explained 16:37 The indium phosphide bottleneck 19:36 Storytelling and bottleneck lessons 20:59 Rebranding: Intercom to Fin 22:13 Single Grain to Single Brain 23:01 Keeping your brand focused 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟 Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Each episode delivers actionable marketing tips and strategies from two entrepreneurs who truly practice what they preach. The show is hosted by Eric Siu, founder of Leveling Up and Single Grain, and Neil Patel, co-founder of Neil Patel Digital and recognized by Forbes as a Top 10 Marketer. 🎙️ Learn More About the Hosts Eric Siu – Leveling Up: https://www.youtube.com/@LevelingUpOfficial Neil Patel: https://www.youtube.com/@neilpatel 📩 Free Resources Ubersuggest: https://www.ubersuggest.com/ Answer The Public: https://www.answerthepublic.com/ ✅ Subscribe for Daily Marketing Insights!

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 and Eric break down how to send 1 million emails a month for $100 using Amazon SES, why deliverability beats price when choosing an email provider, and the shared IP neighborhood trick Neil uses to protect inbox placement. They also unpack the "reply guy" strategy for going viral on X without followers, how social algorithms now reward interest graphs over follower counts, and why Neil stopped blasting YouTube videos to his full email list after the algorithm flagged it as bot traffic. A practical episode on cutting email costs, growing reach from zero, and gaming algorithms the right way. Key takeaways ◾Cheap email providers work, deliverability decides revenue ◾Reply guys win on X without big follower counts ◾Social algorithms reward engagement, not follower size Chapters 00:00 Send 1M emails for $100 a month 00:41 Email provider pricing breakdown 01:36 Why deliverability beats price 01:49 Shared IP neighborhood strategy 03:08 SendLayer mention 04:08 Reply guy strategy on X 05:52 ClickFlow AI SEO break 06:36 How to be a reply guy 07:27 Followers don't matter anymore 08:41 How social algorithms actually work 09:27 Email blasts for YouTube launches 10:23 Why blasting hurt Neil's videos 11:21 Neil's email review workflow 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟 Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Each episode delivers actionable marketing tips and strategies from two entrepreneurs who truly practice what they preach. The show is hosted by Eric Siu, founder of Leveling Up and Single Grain, and Neil Patel, co-founder of Neil Patel Digital and recognized by Forbes as a Top 10 Marketer. 🎙️ Learn More About the Hosts Eric Siu – Leveling Up: https://www.youtube.com/@LevelingUpOfficial Neil Patel: https://www.youtube.com/@neilpatel 📩 Free Resources Ubersuggest: https://www.ubersuggest.com/ Answer The Public: https://www.answerthepublic.com/ ✅ Subscribe for Daily Marketing Insights!

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 and Eric break down the etiquette of podcast collaborations, why giving raw recordings drives reach, and how a give-to-get mindset shapes long-term wins. They share lessons from speaking at the Social Commerce Summit, including QR code lead capture tactics, why case studies supercharge AI sales presentations, and how to calculate ROI on paid speaking gigs. A practical episode on collaboration, lead generation, and choosing the right events to grow your business. Key takeaways ◾Give raw recordings to maximize podcast reach ◾QR codes turn talks into qualified leads ◾Pay-to-speak events can deliver 40x returns Chapters 00:00 Podcast collaboration etiquette 03:00 Give-to-get philosophy 06:26 Social Commerce Summit recap 06:46 QR codes for lead capture 09:00 Lead qualification tradeoffs 11:52 Community in the AI era 12:17 ClickFlow AI content break 12:48 Conversion stats from the event 14:14 Single brain and AI implementation 16:01 Adding case studies to presentations 19:30 Getting paid to speak 20:33 Paying to speak for ROI 22:36 Criteria for paid speaking events 24:11 Calculating speaking ROI 26:04 HubSpot Inbound and brand-building events 27:29 Repurposing speaking clips 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟 Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Each episode delivers actionable marketing tips and strategies from two entrepreneurs who truly practice what they preach. The show is hosted by Eric Siu, founder of Leveling Up and Single Grain, and Neil Patel, co-founder of Neil Patel Digital and recognized by Forbes as a Top 10 Marketer. 🎙️ Learn More About the Hosts Eric Siu – Leveling Up: https://www.youtube.com/@LevelingUpOfficial Neil Patel: https://www.youtube.com/@neilpatel 📩 Free Resources Ubersuggest: https://www.ubersuggest.com/ Answer The Public: https://www.answerthepublic.com/ ✅ Subscribe for Daily Marketing Insights!

Neil and Eric break down the etiquette of podcast collaborations, why giving raw recordings drives reach, and how a give-to-get mindset shapes long-term wins. They share lessons from speaking at the Social Commerce Summit, including QR code lead capture tactics, why case studies supercharge AI sales presentations, and how to calculate ROI on paid speaking gigs. A practical episode on collaboration, lead generation, and choosing the right events to grow your business. Key takeaways ◾Give raw recordings to maximize podcast reach ◾QR codes turn talks into qualified leads ◾Pay-to-speak events can deliver 40x returns Chapters 00:00 Podcast collaboration etiquette 03:00 Give-to-get philosophy 06:26 Social Commerce Summit recap 06:46 QR codes for lead capture 09:00 Lead qualification tradeoffs 11:52 Community in the AI era 12:17 ClickFlow AI content break 12:48 Conversion stats from the event 14:14 Single brain and AI implementation 16:01 Adding case studies to presentations 19:30 Getting paid to speak 20:33 Paying to speak for ROI 22:36 Criteria for paid speaking events 24:11 Calculating speaking ROI 26:04 HubSpot Inbound and brand-building events 27:29 Repurposing speaking clips 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟 Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Each episode delivers actionable marketing tips and strategies from two entrepreneurs who truly practice what they preach. The show is hosted by Eric Siu, founder of Leveling Up and Single Grain, and Neil Patel, co-founder of Neil Patel Digital and recognized by Forbes as a Top 10 Marketer. 🎙️ Learn More About the Hosts Eric Siu – Leveling Up: https://www.youtube.com/@LevelingUpOfficial Neil Patel: https://www.youtube.com/@neilpatel 📩 Free Resources Ubersuggest: https://www.ubersuggest.com/ Answer The Public: https://www.answerthepublic.com/ ✅ Subscribe for Daily Marketing Insights!

Neil and Eric break down the rise of one-person startup teams, Coinbase’s “pod of one” model, AI-native company structures, and how AI agents are reshaping product, marketing, and service businesses. They discuss judgment as the ultimate competitive advantage, Amazon’s new supply chain services, China’s growing tech influence, and how startups can use AI automation to move faster, scale leaner, and build modern revenue systems powered by agents and infrastructure. Key Takeaways: ⬛️ One-person AI teams are changing startup operations ⬛️ Judgment becomes the most valuable business skill ⬛️ AI agents + automation drive scalable growth Chapters: (00:00) One-Person Startup Teams (00:34) Coinbase Pod Of One (01:48) AI Agents And Judgment (03:04) AI-Native Agency Models (06:23) Automation And Margins (07:25) Uber Growth Strategy (09:18) Amazon Supply Chain Service (10:48) AI Agents And Logistics (11:20) Favorite Snack Recommendations (14:00) Marketing Expansion Into China (16:12) SingleBrain AI Revenue Agents (18:46) OpenAI Symphony And AI Automation

Neil and Eric break down why autonomous AI commerce is accelerating after Stripe introduced agentic payments and Cloudflare enabled AI agents to create accounts, buy domains, and deploy apps autonomously. This episode explores AI agents with spending power, Google’s continued search growth in the AI era, hiring elite talent, scaling marketing channels, and the future of AI-driven business operations. Learn how companies like Google, Robinhood, and Coinbase are adapting to the AI economy. ⬛️ Stripe and Cloudflare unlock autonomous AI commerce ⬛️ Google search keeps growing with AI Mode ⬛️ A-player hiring creates massive business leverage Chapters: (00:00) Stripe gives AI agents spending power (00:40) Autonomous commerce and AI workflows (01:24) AI travel and bookkeeping agents (02:40) Future of fragmented AI ecosystems (04:25) Jevons paradox and AI demand growth (05:06) Brian Chesky on hiring elite talent (07:24) Google AI Mode revenue growth (09:45) The Hudson creator growth method (11:23) Why A-players change everything (17:13) Coinbase vs Robinhood crypto economics (20:25) Scaling marketing through expansion (23:24) Optimization versus premature scaling

Neil Patel and Eric Siu break down the rise of “token maxing,” why AI token spend without ROI is dangerous, and how companies like Anthropic, OpenAI, Google, and Microsoft are battling for AI dominance. They also cover TBPN’s X growth strategy, AI-powered advertising, enterprise AI services, and the marketing playbook behind Grüns’ $1.2B exit. A must-watch for marketers, founders, and AI operators looking to scale with smarter distribution, AI adoption, and performance marketing strategies. Key Takeaways: ⬛️ Token maxing without ROI creates dangerous incentives ⬛️ Google and Microsoft may dominate AI through distribution ⬛️ Grüns scaled to a $1.2B exit with message-match funnels Chapters: (00:00) TBPN’s X Ad Strategy (00:33) Mid-Form Content Growth (01:41) Monetizing Podcast Impressions (03:00) What Is Token Maxing? (04:08) AI Spend vs ROI Debate (05:10) Cutting AI Token Costs (06:16) Anthropic vs OpenAI (09:50) Why Distribution Wins AI (10:49) Anthropic’s $1.5B Venture (12:03) Why Services Businesses Win (13:32) OpenAI Enterprise Growth (14:21) Grüns’ $1.2B Marketing Playbook

Neil and Eric break down why the AI job apocalypse narrative is wrong, using fresh data on software engineering demand, AI-powered productivity, product manager hiring trends, and the rise of “AI-pill” talent. They discuss how AI is increasing output instead of replacing workers, why companies still need top engineers and marketers, and how AI is reshaping business efficiency, hiring, and organizational structure. They also debate bloated corporations, eBay’s spending problem, and why technology historically creates more opportunity than destruction. Key Takeaways: ⬛️ AI-powered workers are becoming 100x more productive ⬛️ Software engineering and PM jobs are rising again ⬛️ AI is increasing workloads, not eliminating teams Chapters: (00:00) AI Job Apocalypse Is Wrong (00:42) Software Engineer Demand Rising (01:07) The Rise of AI-Pill Engineers (02:02) AI’s Impact on Marketing Teams (03:49) One-Person Product Teams (04:47) Software Jobs Growing Again (05:32) AI Wage Growth Trends (05:47) Why Technology Creates More Jobs (08:55) Work, Family, and Productivity (12:38) AI as an Equalizer (13:13) Product Manager Hiring Rebound (14:57) AI Adoption in Marketing (15:49) GameStop vs eBay Debate (18:15) Why Big Companies Are Bloated (21:11) The Problem With Growth at All Costs

Eric and Neil break down 3 marketing roles they believe AI will kill first, why entry-level execution work is getting compressed fast, and what marketers need to do now to stay valuable. They also cover why specialists are likely to beat generalists, why human judgment matters more than ever, and how AI is reshaping the structure of marketing teams. They also get into what separates unacceptable, capable, adaptive, and transformative AI users, why most teams are still behind, and how marketers can move beyond basic prompting into real workflows that actually save time and drive results. Key takeaways ◾ Entry-level execution-heavy marketing roles are under the most pressure from AI. ◾ Specialists with strong judgment are becoming more valuable than generalists. ◾ Most teams are still early in their AI adoption and workflow maturity. ◾ Prompting matters less than context, systems, and human review. ◾ AI can increase output fast, but teams still need people who can think strategically. Chapters (00:00) 3 marketing roles AI will kill first (02:42) Why data analysts, junior writers, and generalists are at risk (05:25) The 4 levels of AI marketing maturity (08:07) Why most teams still feel behind (09:40) Why mental health is becoming a bigger AI issue (13:25) The AI tools that can augment your content team

Eric and Neil break down how Eric cut his AI token spend from around $7,500 a month to nearly $0 by changing his model hierarchy, fixing fallback issues, and reducing unnecessary API usage. They also get into why usage-based AI pricing is changing software, why some tools become more valuable in an agent-driven world, and what founders, marketers, and agencies need to understand as AI costs shift from seat-based pricing to usage-based pricing. Key takeaways ◾ You can dramatically reduce AI token spend by fixing model hierarchy and fallback logic. ◾ AI costs need to be actively monitored because broken workflows can quietly burn cash. ◾ Usage-based pricing is becoming a bigger part of software economics. ◾ Some tools get more valuable in an agent-first world, while others matter less. ◾ Agencies that help companies become AI-readable may have a major opportunity. Chapters (00:00) How Eric cut his $7,500 AI token spend (03:25) Why usage-based AI pricing is going up (05:08) Why some software matters less in an agent world (08:11) ClickFlow ad break (12:29) Why AI-readable brands matter more (17:19) What this means for agencies and founders

Eric and Neil break down how AI is changing software and what founders need to understand as user behavior, distribution, and product expectations keep shifting. They unpack why building around websites, dashboards, and traditional UI patterns may matter less going forward, and what happens when people increasingly want outcomes instead of more clicks. They also get into what this means for marketers, agencies, and SaaS companies, why old funnels may become less effective, and where founders should focus if they want to stay relevant as AI changes how people discover, use, and buy software. Key takeaways ◾ AI is changing what users expect from software. ◾ Founders may need to build for outcomes, not just interfaces. ◾ Websites, funnels, and traditional SaaS UX may matter less over time. ◾ Marketers need to think beyond clicks and landing pages. ◾ The companies that adapt faster will have a major advantage. Chapters (00:00) How AI is changing software (03:12) Why traditional UI matters less (06:48) What this means for founders (10:21) Why websites and funnels may lose value (14:37) What marketers and agencies should do now

Eric and Neil break down how Clavicular built a viral marketing machine, why clipping is starting to look a lot like paid media, and what businesses can learn from that playbook. Reports on Clavicular’s growth describe a large clipping operation that helped make his content unavoidable across platforms, which is the bigger distribution shift they unpack in this episode. They also share 10 marketing and AI tools they would still pay for even if they cost $1,000 a month, including tools for landing pages, AI call handling, ad creative, multilingual video, personalization, SEO workflows, and agent-based execution. Key takeaways ◾ What looks organic can actually be engineered distribution at scale. ◾ Clipping is becoming a serious modern paid media strategy. ◾ Businesses can apply the same playbook and often get better conversion quality. ◾ AI tools are collapsing weeks of marketing work into minutes. ◾ APIs, agents, and personalization are becoming core parts of the stack. Chapters (00:00) How Clavicular built a viral marketing machine (07:04) 10 tools we’d pay $1,000/month for (09:50) HighLevel, Higsfield, and YouTube’s multilingual features (14:59) X API, personalization, and SEO workflows (19:06) Hermes, Gemini, and agent-based marketing

Eric and Neil break down the fake GitHub star economy, why startup credibility signals are easier to manipulate than most people realize, and what that means for trust online. They also get into employee-generated content, the marketing channels they would bet on if they were starting over today, and why they are still doubling down on SEO even as the game shifts away from clicks and toward revenue, visibility, and AI-driven search. Key takeaways ◾ GitHub stars and other online trust signals can be manipulated, which makes surface-level credibility much less reliable. ◾ Employee-generated content is becoming a bigger growth lever for companies that want more distribution. ◾ If they were starting over, Eric and Neil would still bet on channels like podcast clips, email, AEO, X, SMS, and LinkedIn. ◾ SEO is not dead, but the old way of measuring it is. ◾ The real focus now is revenue, conversions, and visibility across search engines and AI surfaces, not just clicks. Chapters 00:00 The fake GitHub star economy 03:10 Why fake traction can fool people 08:26 The rise of employee-generated content 12:30 The 7 marketing channels they’d bet on today 18:18 SEO is dead again… so why are they doubling down? 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟 Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Each episode delivers actionable marketing tips and strategies from two entrepreneurs who actually test what they teach. The show is hosted by Eric Siu, founder of Leveling Up and Single Grain, and Neil Patel, co-founder of NP Digital and one of the most recognized marketers in the world. 🎙️ Learn More About the Hosts Eric Siu – Leveling Up: https://www.youtube.com/@LevelingUpOfficial Neil Patel: https://www.youtube.com/@neilpatel 📩 Free Resources Ubersuggest: https://www.ubersuggest.com/ Answer The Public: https://www.answerthepublic.com/ ClickFlow: https://www.clickflow.com/ ✅ Subscribe for Daily Marketing Insights!

Eric and Neil break down the new media flywheel, why clips, live shows, and community now work together, and why entrepreneurs need to think more like media companies. They also explain why the real money is often in boring businesses, why AI is widening the gap between A-players and everyone else, and what founders should actually look for when hiring in this new environment. Key takeaways ◾ The strongest media businesses now run on video, streams, clips, and community. ◾ The biggest opportunities are often in boring, unsexy businesses with large markets. ◾ AI is a multiplier for top performers, not a shortcut for average ones. ◾ Great hiring now depends more on adaptability, creativity, and real AI fluency. ◾ The people who embrace AI early are creating a much bigger gap over time. ◾ Passion still matters, and it becomes obvious fast when someone truly has it. Chapters (00:00) The new media flywheel (00:56) Why the real money is in boring businesses (04:07) Why AI is making A-players even stronger (09:09) What founders should look for when hiring (16:04) Why passion still wins

Eric and Neil break down why clips are becoming more valuable than the actual show, and why the real shift in media has less to do with long-form content and more to do with packaging, distribution, and platform-native monetization. They unpack the TBPN playbook, why some podcasts are really vehicles for generating clips, why legacy media is still missing the shift, and what marketers can learn from the way modern content is being engineered to spread. Key takeaways ◾ Clips are becoming a real business model, not just repurposed content. ◾ Live viewership matters less when clips drive most of the reach. ◾ More views do not matter if they come from the wrong audience. ◾ The topic you choose affects how monetizable your content becomes. ◾ Legacy media still has not fully adapted to clip-first consumption. ◾ Marketers need to think more like media companies built for distribution. Chapters (00:00) TBPN’s live views vs. clip views (02:13) Why legacy media is losing attention (04:32) Why viral views do not always make money (06:48) What legacy media should do with clips (08:48) Eric’s AI workflow and Claude cost savings

Eric and Neil break down why marketing feels different now, and why the real shift may have less to do with long-form content and more to do with clips, packaging, distribution, and platform-native media strategy. They unpack the TBPN playbook, why OpenAI reportedly bought the company, how clipping is becoming a true moat, and what marketers can learn from the way modern content is being engineered to spread. Key takeaways ◾ Clipping is becoming a real growth strategy, not just repurposing. ◾ The best content is often designed for distribution from the start. ◾ More views do not matter if they come from the wrong audience. ◾ Platform-native packaging can change how content performs. ◾ Better guests create stronger viral moments. ◾ Marketing teams need to think more like media companies. Chapters (00:00) Birthday, summit, and the TBPN conversation (02:27) The TBPN clipping playbook (05:58) Why content should be engineered for clips (09:36) Where TBPN’s views are really coming from (12:45) Why guests change everything (15:37) How to manufacture better clip moments (17:44) Why a16z is winning more attention (19:56) The real lesson for marketers

Eric and Neil break down a genius AI prospecting system a pool builder is using to target high-value homes, render custom backyard pools, and mail personalized postcards on autopilot. They also unpack Sequoia’s thesis that the next trillion-dollar AI company will sell work, not software, why AI works best when paired with human strategy, and how smart operators are using AI to create better content, better outbound, and better outcomes. Key takeaways ◾ AI can turn satellite imagery and rendering into hyper-personalized outbound. ◾ The next big AI opportunity may be selling outcomes, not software. ◾ Services businesses may benefit more from AI than most people realize. ◾ AI alone often produces mediocre work, but AI plus human judgment can outperform either one alone. ◾ Great prompts and real context lead to far better outputs than generic AI requests. ◾ The best creators are using AI to spot patterns, generate variations, and improve what already works. Chapters (00:00) How a pool builder uses AI to close bigger deals (02:17) Sequoia’s trillion-dollar AI thesis (06:39) Why AI alone still fails in business (07:58) ClickFlow for AI SEO content (08:32) Why AI + human beats AI alone (12:02) A smarter way to use AI for content creation

Eric and Neil break down why Anthropic’s next big moat may have nothing to do with raw model intelligence and everything to do with permission, governance, and trust inside enterprise systems. They also unpack the difference between individual AI and institutional AI, why most companies still aren’t ready to let agents act inside real workflows, how AI helped cut major costs without cutting headcount, and why relationships still matter more than ever when it comes to closing massive deals. Key takeaways ◾ The next great AI moat may be permission, not intelligence. ◾ Enterprise adoption depends on governance, access, and trust. ◾ Institutional AI beats generic AI when it is deeply tied to SOPs and company knowledge. ◾ AI can create huge cost savings without automatically replacing full-time teams. ◾ Big contracts still come from strong relationships, not just better tools. ◾ AI can still make very expensive mistakes when you trust it too much. Chapters (00:00) Anthropic’s new moat is permission (03:04) Institutional AI vs. individual AI (03:32) How ChatGPT ruined a family vacation (07:27) How AI is changing Eric’s productivity (09:21) $7,500 in tokens saved over $500,000 (11:30) Why relationships still close the biggest deals

Eric and Neil break down why Uber’s AI spend is skyrocketing, what it means when tools like Claude Code become too useful to cut back, and why token costs may become the next big enterprise bottleneck. They also get into why AI may create more jobs than people expect, how smart teams should think about ROI on token spend, and why the companies that learn to scale AI efficiently will have a major edge. Need marketing help? Visit: https://www.singlegrain.com/ and https://npdigital.com/ Want to recruit great marketers? Find them here: https://marketingschool.io/hire Key takeaways ◾ AI gets expensive fast when teams find real workflow value. ◾ Token costs are becoming a serious budgeting problem for enterprise teams. ◾ More AI usage only matters if it drives real ROI, not just more output. ◾ The biggest advantage may go to companies that optimize token spend first. ◾ History suggests new technology creates new categories of work, not just displacement. Chapters 00:00 Uber burns through its AI budget 02:52 How teams are cutting AI costs 06:16 Why AI may create more jobs 12:28 How to measure real AI ROI 16:47 A business idea: return on token spend 18:09 What history says about AI and jobs 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟 Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Each episode delivers actionable marketing tips and strategies from two entrepreneurs who actually test what they teach. The show is hosted by Eric Siu, founder of Leveling Up and Single Grain, and Neil Patel, co-founder of NP Digital and one of the most recognized marketers in the world. 🎙️ Learn More About the Hosts Eric Siu – Leveling Up: / @levelingupofficial Neil Patel: / @neilpatel 📩 Free Resources Ubersuggest: https://www.ubersuggest.com/ Answer The Public: https://www.answerthepublic.com/ ✅ Subscribe for Daily Marketing Insights!

Eric and Neil break down how they used AI and the YouTube API to analyze 320 episodes worth of predictions, score who was more accurate over time, and uncover the deeper pattern behind why the podcast works. They also get into why marketers need to stop protecting their opinions, how APIs can surface content opportunities faster, why speed now matters more than polish, and what today’s “AI-forward” operators are still getting wrong. Key takeaways ◾ AI is great at spotting patterns across large content datasets. ◾ The best marketers use data to challenge their assumptions, not defend them. ◾ Speed matters more than polish when you can launch, learn, and optimize fast. ◾ “Quick and decent” beats waiting weeks for something perfect. ◾ A rough-looking website can still convert if the offer is strong enough. ◾ Many “AI-forward” marketers still have very little real execution. Chapters (00:00) AI scores 320 predictions (03:02) Why APIs are so useful for marketers (06:04) What aggressive marketers can teach you (10:48) Why an “AI slop” website still converted (14:35) The real problem with “AI-forward” marketers (17:09) Why better marketers are worth paying for

Eric and Neil break down GitHub as the next major marketing channel, why AI voice agents are finally good enough for discovery calls, and the trap of "AI theater" that's killing marketing ROI. They unpack the eye-watering $4.7M midroll pricing on Acquired FM, what makes elite peer groups actually valuable, and round it out with seven AI tools driving real growth right now. Key takeaways ◾ GitHub repos are becoming a serious marketing channel ◾ AI voice agents can now handle full discovery calls ◾ Don't let AI theater distract from what actually drives ROI Chapters (00:00) GitHub as a marketing channel (01:47) Agentic and hyperpersonalized marketing (02:02) Boardy.AI and voice agent discovery calls (03:09) The AI theater trap (05:01) Tying AI to real customer problems (06:24) Why recording wearables kill conversations (08:29) Karrot LinkedIn ads break (09:04) Acquired FM's $4.7M midroll pricing (10:54) Acquired vs All-In vs Founders (11:34) Learning from historical business deep dives (13:06) YPO, EO and picking the right peer groups (16:33) Seven AI tools to grow faster (16:55) Boardy.AI for networking and discovery (17:36) Finn.ai for customer support (18:12) Hermes paired with OpenClaw (18:24) Nano Banana for paid creative (18:40) Paperclip for managing agents (19:02) High Level for landing pages (19:16) Manus and GenSpark as OpenClaw on-ramps

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 break down how one founder used AI and 800 fake doctor profiles to scale a GLP-1 telehealth business toward $1.8B in revenue, and why aggressive AI-powered marketing (done ethically) is the new edge. They unpack the Jevons paradox of skyrocketing AI infrastructure costs, the four levels of AI marketing maturity, the Ferrari vs. Honda model routing strategy to cut LLM spend, and why Chinese sentiment toward AI is wildly more optimistic than in the US. A sharp episode on building custom AI tools, scaling infrastructure, and adapting before the curve leaves you behind. Key takeaways ◾ One-person billion-dollar companies are becoming reality with AI ◾ AI infrastructure costs may soon rival headcount costs ◾ The four levels of AI marketing separate winners from laggards Chapters (00:00) The $1.8B one-employee AI company (01:52) ClickFlow AI content break (02:31) Tractor adoption and the AI jobs debate (04:30) Why AI token costs will skyrocket (05:47) Agents will transform corporations, not consumers (06:48) Mapping infrastructure scale for hypergrowth (09:05) Cutting AI waste with the Ferrari vs Honda model (10:52) The caveman prompt hack to slash costs (14:16) Building a company "single brain" with Nemo (15:39) Nvidia DGX Sparks and rising chip prices (16:20) The four levels of AI marketing (17:58) Custom tools vs off-the-shelf software (19:08) Alibaba funds real-world AI (19:40) China vs US: AI optimism gap (21:00) Why human content still wins for some customers

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 break down OpenAI's $200M acquisition of TBPN and whether owning media is actually worth it for AI giants. They unpack Neil's co-branded conference playbook in Canada, why Anthropic's shipping velocity is crushing OpenAI, the rise of "world intelligence" agents inside companies, and why Neil's switching corporate spend from Amex to Ramp. Plus an honest look at credit card perks, points strategy, and when cash back beats miles. Key takeaways ◾Owning media isn't always worth it, even at $200M ◾Anthropic's shipping velocity is winning mind share ◾Every company now wants its own "world intelligence" agent Chapters (00:00) OpenAI buys TBPN for $200M (01:31) Why owning media properties isn't always smart (02:03) Neil's co-branded conference playbook (05:13) Breaking down the TBPN deal economics (06:42) OpenAI's code red vs Anthropic (07:46) The Open Claude loophole explained (09:03) Anthropic and Google's shipping as marketing (09:32) ClickFlow AI SEO break (10:05) World intelligence and Single Brain (11:30) Ramp, Glass, and internal AI agents (12:30) Why Neil's company is leaving Amex (14:01) Amex Black Card perks breakdown (16:08) Ramp vs Brex and shipping velocity (16:48) Centurion travel benefits (17:46) Cash back vs points strategy (20:16) Why you need a points dealer

Neil and Eric break down how IKEA turned an AI chatbot's failures into a $1B design consultancy, why creative is now the real ceiling on paid ads, and where API pricing and in-LLM advertising are heading. They unpack agentic commerce, dynamic personalized ads, and who actually wins the LLM race long term — Google, Microsoft, Anthropic, or OpenAI. A sharp episode on reskilling instead of cutting, scaling with AI creative, and betting on the right players in the AI stack. 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 Key takeaways ◾IKEA's AI chatbot unlocked a $1B new business line ◾Creative and first-party data are the real paid ad levers ◾Google and Microsoft likely win enterprise AI long term Chapters 00:00 IKEA's $1B AI chatbot story 01:45 Reskill before you cut 02:18 Scaling $1.5M to $20M with 4,500 creatives 03:57 The two real levers in paid ads 06:05 Auction-based API pricing 07:17 Where ads inside LLMs are heading 09:33 Agentic commerce and dynamic ads 11:04 Who wins the LLM race 13:15 Anthropic's momentum vs Microsoft 14:38 OpenAI turbulence and Brett Taylor 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟 Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Each episode delivers actionable marketing tips and strategies from two entrepreneurs who truly practice what they preach. The show is hosted by Eric Siu, founder of Leveling Up and Single Grain, and Neil Patel, co-founder of Neil Patel Digital and recognized by Forbes as a Top 10 Marketer. 🎙️ Learn More About the Hosts Eric Siu – Leveling Up: https://www.youtube.com/@LevelingUpOfficial Neil Patel: https://www.youtube.com/@neilpatel 📩 Free Resources Ubersuggest: https://www.ubersuggest.com/ Answer The Public: https://www.answerthepublic.com/ ✅ Subscribe for Daily Marketing Insights!

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 Most marketers still default to Meta and Google first, but that may no longer be the smartest place to start. In this episode, Eric and Neil break down the underpriced channels getting overlooked right now, why GitHub and GEO are becoming serious growth opportunities, and how AI is changing what separates average marketers from the ones who keep winning. They also get into why execution speed is becoming the real edge, why not everyone in your company needs to become an AI expert, and the five skills marketers will need by 2027 if they want to stay relevant. Key Takeaways: ◾Some of the best paid marketing opportunities right now are on smaller social platforms like Snap, Pinterest, and X. ◾GitHub is becoming more than a developer platform and may turn into a real marketing channel. ◾GEO traffic is converting significantly better than many traditional channels. ◾AI is helping teams execute faster, but it is not automatically turning weak talent into top talent. ◾The marketers who adapt fastest will have the biggest advantage over the next few years. Chapters: 00:00 The most underpriced marketing channels right now 00:43 Why GitHub is becoming a marketing channel 01:34 Why GEO is converting better than email and paid ads 02:51 How AI is changing A players and B players 07:01 Why most teams won’t become transformative with AI 15:26 The 5 skills marketers need by 2027 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟 Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Hosted by Eric Siu and Neil Patel, recognized by Forbes as a Top 10 Marketer. 🎙️ Learn More About the Hosts Eric Siu - Leveling Up: https://www.youtube.com/@LevelingUpOfficial Neil Patel: https://www.youtube.com/@neilpatel 📩 Free Resources Ubersuggest: https://www.ubersuggest.com/ Answer The Public: https://www.answerthepublic.com/ ✅ Subscribe for Daily Marketing Insights!

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 Chamath says brands could go to zero as AI makes products cheaper, faster, and easier to copy. In this episode, Eric and Neil break down why they disagree, why status still drives buying behavior, and why branding may actually become more important as AI creates more abundance. They also get into why luxury still holds power, why most people misunderstand what makes premium brands durable, and how AI agents are shifting the market from selling software seats to selling actual output. Key Takeaways: ◾Chamath’s “brands go to zero” argument ignores how much status still drives human behavior. ◾Strong brands like Apple, Jordan, Louis Vuitton, Chanel, and Tesla still carry emotional and social value. ◾AI may not kill brands, but it could make weak brands easier to replace. ◾Luxury markets are smaller than they look, even if they feel huge online. ◾The bigger AI opportunity may be services-as-software, not just traditional SaaS. Chapters: 00:00 Chamath says brands are going to zero 03:30 Why status still drives what people buy 05:47 The Mercedes minivan example that proves branding matters 10:23 Why luxury is smaller than people think 15:13 The $5.5 trillion AI services shift 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟 Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Hosted by Eric Siu and Neil Patel, recognized by Forbes as a Top 10 Marketer. 🎙️ Learn More About the Hosts Eric Siu - Leveling Up: https://www.youtube.com/@LevelingUpOfficial Neil Patel: https://www.youtube.com/@neilpatel 📩 Free Resources Ubersuggest: https://www.ubersuggest.com/ Answer The Public: https://www.answerthepublic.com/ ✅ Subscribe for Daily Marketing Insights!

Growth Newsletter: https://levelingup.beehiiv.com/subscribe Meta is reportedly pushing engineers to use AI for most of their code, and it may be one of the clearest signs yet that AI adoption is becoming mandatory inside major companies. In this episode, Eric and Neil break down why AI works differently in coding than in marketing, why engagement without revenue means nothing, and how the smartest companies are using AI to drive conversions, optimize operations, and move faster. Key Takeaways: ◾Meta’s AI push could signal where the rest of tech is headed. ◾AI works better in coding because the output is easier to verify. ◾More engagement does not always mean more revenue. ◾Some of the best AI use cases in marketing are in CRO and business optimization. ◾Distribution still matters, even if AI makes execution cheaper. Chapters: 00:00 Meta’s AI coding push 02:09 When AI engagement doesn’t lead to revenue 05:45 What real AI ROI looks like 07:26 Using AI to improve conversions 11:17 Stripe’s bet on AI agents 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟 Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Hosted by Eric Siu and Neil Patel, recognized by Forbes as a Top 10 Marketer. 🎙️ Learn More About the Hosts Eric Siu - Leveling Up: https://www.youtube.com/@LevelingUpOfficial Neil Patel: https://www.youtube.com/@neilpatel 📩 Free Resources Ubersuggest: https://www.ubersuggest.com/ Answer The Public: https://www.answerthepublic.com/ ✅ Subscribe for Daily Marketing Insights!

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 Oracle cut 30,000 jobs this morning to fund AI data centers, and their stock jumped 5%. Nvidia's growth is reaccelerating because of AI agents. Meta just built AI that predicts your dopamine before you feel it. Eric and Neil break down what all of this means for marketers and business owners right now, who actually gets paid the most in marketing today, and how Eric's AI agent is already negotiating his own sponsorship deals. Key Takeaways: Companies are cutting headcount specifically to fund AI infrastructure, and the market is rewarding them for it. Nvidia's growth reacceleration is being driven by real agent adoption, not just hype. The highest paid marketing role right now is customer acquisition on social, not SEO or paid. Meta's brain-decoding AI doesn't need to read your mind, it already knows what will trigger you. AI agents are handling real business tasks like negotiation, and most people haven't caught up yet. Chapters: 00:00 Oracle fires 30,000 to fund AI data centers 02:38 Why Nvidia's growth is reaccelerating 09:18 The highest paying marketing job right now 11:33 Meta's AI predicts your dopamine before you feel it 14:41 How an AI agent is negotiating Eric's sponsorship deals 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟 Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Hosted by Eric Siu and Neil Patel, recognized by Forbes as a Top 10 Marketer. 🎙️ Learn More About the Hosts Eric Siu - Leveling Up: https://www.youtube.com/@LevelingUpOfficial Neil Patel: https://www.youtube.com/@neilpatel 📩 Free Resources Ubersuggest: https://www.ubersuggest.com/ Answer The Public: https://www.answerthepublic.com/ ✅ Subscribe for Daily Marketing Insights!

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 and Eric break down how SEO, AEO, and AI search are changing faster than most marketers realize. They explain why the new way to win is through APIs and agents, why AI-generated content often fails over time without a human in the loop, and how evals are replacing old school testing cycles for the best AI teams. They also get into why publishing listicles on your own site can quietly hurt organic traffic, how synthetic data could reshape marketing measurement, and why every CEO may soon be running their own internal AI agent. Key Takeaways: The future of SEO and AEO is increasingly API-first, with agents doing the work faster across content and workflows Pure AI-written content may get short-term gains, but long-term performance still depends on human editing, iteration, and strong systems AI evals are speeding up experimentation, helping teams test and improve workflows far faster than traditional approaches Chapters: 00:00 Why SEO and AEO Are Moving to APIs 01:16 Why AI Content Still Struggles to Rank 02:57 The Listicle Strategy That Can Hurt Organic Traffic 06:59 Why AI Evals Are Replacing Old Testing Loops 12:14 How Evals Change Product and Marketing Workflows 14:24 Why CEOs Will Soon Run Their Own AI Agents 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟 Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Hosted by Eric Siu and Neil Patel, recognized by Forbes as a Top 10 Marketer. 🎙️ Learn More About the Hosts Eric Siu - Leveling Up: https://www.youtube.com/@LevelingUpOfficial Neil Patel: https://www.youtube.com/@neilpatel 📩 Free Resources Ubersuggest: https://www.ubersuggest.com/ Answer The Public: https://www.answerthepublic.com/ ✅ Subscribe for Daily Marketing Insights!

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 and Eric break down the brutal reality of AI transformation inside real organizations, why just telling your team to "use AI" completely backfires, how C players are using AI to hide and do less, and why rockstar employees are becoming 100x more valuable overnight. They share the exact systems they use to roll out AI internally, from weekly hackathons to AI fluency standups to Friday agents that hold every employee publicly accountable. Plus, why the entire marketing job pyramid is being flipped upside down, what the Travis Kalanick robotics bet tells us about where jobs are really going, and why even a 2,000-person global law firm says their AI tool makes their job harder, not easier. Key Takeaways: - Telling your team to "just use AI" produces slop, you need AI that adapts to each person's experience level - Rockstar employees given AI tools work harder; C players use them to get lazy - The marketing job pyramid is flipping, fewer low-level roles, more A and B players paid significantly more Chapters: 00:00 The Hardest Part of AI Transformation Nobody Talks About 02:20 Why Training Your Team on AI Doesn't Work 04:14 The System That Actually Gets Teams to Adopt AI 08:00 How Eric Uses Friday Agents to Hold Every Employee Accountable 10:04 Why the Marketing Job Pyramid Is Being Flipped Upside Down 11:47 How AI Exposes Weak Employees in Job Interviews 15:25 Travis Kalanick's Robotics Bet and Where Jobs Are Really Going 18:17 Why a 2,000-Lawyer Firm Says Their AI Tool Makes Work Harder 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟 Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Hosted by Eric Siu and Neil Patel, recognized by Forbes as a Top 10 Marketer. 🎙️ Learn More About the Hosts Eric Siu – Leveling Up: https://www.youtube.com/@LevelingUpOfficial Neil Patel: https://www.youtube.com/@neilpatel 📩 Free Resources Ubersuggest: https://www.ubersuggest.com/ Answer The Public: https://www.answerthepublic.com/ ✅ Subscribe for Daily Marketing Insights!

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 and Eric break down why AI is quietly killing the marketing channels most businesses still rely on — cold email open rates have dropped over 40%, AI-generated content is getting near-zero engagement, and outreach inboxes are completely flooded. They share exactly where they're shifting their marketing spend in 2026, why branding and in-person events are the new moat, and why Neil basically quit doing podcasts. Key Takeaways: Cold email open rates dropped 40%+ from end of 2024 to Q1 2026 across 11 B2B companies AI-generated content gets terrible engagement unless it's specifically about AI topics Brand, relationships, and intellectual horsepower are the only real moats left in 2026 Chapters: 00:00 AI Is Destroying the Marketing Channels You Rely On01:13 The Cold Email Saturation Problem Nobody Is Admitting02:51 Open Rates Dropped 40% — Real Data From 11 B2B Companies05:48 Why Branding Is the Only Real Moat Left in 202606:44 Why He Basically Quit Doing Podcasts11:46 The 3 Things That Survive AI: Brand, Relationships, Horsepower13:23 Why Manual Content Is Beating AI Content Right Now 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Hosted by Eric Siu and Neil Patel, recognized by Forbes as a Top 10 Marketer. 🎙️ Learn More About the HostsEric Siu – Leveling Up: https://www.youtube.com/@LevelingUpOfficialNeil Patel: https://www.youtube.com/@neilpatel 📩 Free ResourcesUbersuggest: https://www.ubersuggest.com/Answer The Public: https://www.answerthepublic.com/ ✅ Subscribe for Daily Marketing Insights!

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 and Eric react to Jensen Huang's bold claim that a $500K engineer should be spending $250K on AI tokens, and why the real answer involves open source. They break down how AI costs are exploding internally, why Cursor's $2B revenue run rate doubled in 3 months, and the rise of vertical AI models. The conversation also covers 7 SEO trends for 2026, how AEO audits expose major gaps, the Agentic Commerce Protocol changing checkout forever, and a live breakdown of IM8's $120M bundle strategy. Key Takeaways: 70-80% of your AI usage should run on open source infrastructure. Sites that link to you are the easiest wins for GEO and SEO. AEO audits are exposing massive gaps most companies are ignoring. Chapters: 00:00 Jensen Huang's $250K Token Claim 01:25 Open Source vs Paid AI Tokens 02:40 Eric's $5.6K Monthly Anthropic Spend 03:32 AI Costs Exploding Internally 04:05 Cursor's $2B Revenue & $40B Valuation 05:48 Vertical Models & Intercom's Finn 06:35 SEO Trends for 2026 08:42 Doing SEO via API 09:20 Brand Search Driving Rankings 09:48 AEO Audits With Oracle 10:30 Human-Written Content & E-A-T 11:23 Publishing Where Your Customers Aren't 12:32 Agentic Commerce Protocol & Stripe 15:22 IM8's $120M Checkout Breakdown 18:03 Legion Protein & Supplement Talk 𝗔𝗕𝗢𝗨𝗧 𝗧𝗛𝗘 𝗖𝗛𝗔𝗡𝗡𝗘𝗟 Welcome to Marketing School, one of the top business podcasts with over 61 million downloads. Each episode delivers actionable marketing tips and strategies from two entrepreneurs who truly practice what they preach. The show is hosted by Eric Siu, founder of Leveling Up and Single Grain, and Neil Patel, co-founder of Neil Patel Digital and recognized by Forbes as a Top 10 Marketer. 🎙️ Learn More About the Hosts Eric Siu – Leveling Up: https://www.youtube.com/@LevelingUpOfficial Neil Patel: https://www.youtube.com/@neilpatel 📩 Free Resources Ubersuggest: https://www.ubersuggest.com/ Answer The Public: https://www.answerthepublic.com/ ✅ Subscribe for Daily Marketing Insights!

In this episode, we break down how easy it currently is to “game” AI platforms like ChatGPT and Google Gemini—and why those loopholes won’t last. We discuss the risks of short-term hacks versus long-term credibility, how AI will reshape job markets by rewarding bottleneck skills, and why strategy and adaptability will matter more than ever. We also share real-world wins and failures using AI in marketing and operations, highlighting where it drives massive leverage—and where it still falls short. 🎙️ Learn More About the Hosts Eric Siu – Leveling Up: https://www.youtube.com/@LevelingUpOfficial Neil Patel: https://www.youtube.com/@neilpatel 📩 Free Resources Growth Newsletter: https://levelingup.beehiiv.com/subscribe Ubersuggest: https://www.ubersuggest.com/ Answer The Public: https://www.answerthepublic.com/

🎙️ Learn More About the Hosts Eric Siu – Leveling Up: https://www.youtube.com/@LevelingUpOfficial Neil Patel: https://www.youtube.com/@neilpatel 📩 Free Resources Growth Newsletter: https://levelingup.beehiiv.com/subscribe Ubersuggest: https://www.ubersuggest.com/ Answer The Public: https://www.answerthepublic.com/

In this episode, we react to a bold take from Jensen Huang on why AI shouldn’t be used as an excuse for layoffs—and instead should be a tool to do more with more. We break down the real reasons companies are cutting jobs, why the “AI efficiency” narrative is often misleading, and how top performers are using AI to scale output rather than replace people. We also dive into what’s actually driving growth today, from optimizing for platforms like ChatGPT to the overlooked power of boring but effective marketing channels, and why the future belongs to teams that combine AI fluency with strong judgment.

In this episode, we break down one of the wildest shifts happening in content and marketing right now: AI-powered media at scale.After discovering a highlights channel from Alex Hormozi pumping out dozens of videos per day, we reverse engineer how it works—and how you can replicate (and improve) the strategy using AI tools. We also dive into real-world insights from global marketing teams—what’s actually working, where AI is falling short, and why most people are wasting the time AI is saving them. If you want to understand where content, AI, and marketing are really headed and how to stay ahead this episode is a must-listen.

Neil and Eric discuss Meta hiring the team behind Moltbook, a social network for AI agents, and what it signals about the future of marketing to bots. They break down why adaptability in the AI era matters more than intelligence, and how marketers are already positioned to succeed. The conversation shifts to personal strategy, with Neil doubling down on brand building while Eric goes all-in on AI. They also explore work-life balance, long-term priorities, and why consistency and resilience are key to business success. Key Takeaways: Marketing to AI agents is the next big shift Brand building remains a long-term moat Consistency and resilience drive success Chapters:(00:00) Meta hires Moltbook founders(00:32) Rise of AI agent networks(01:13) Marketing to AI agents(01:41) Adapting to AI change(02:23) Branding vs AI focus(04:42) Know your strengths strategy(06:16) Work hours and priorities(07:27) Family vs business tradeoffs(10:49) Wealth vs quality of life(15:20) McDonald’s CEO content lesson(16:34) Power of consistency

Neil and Eric break down a live AI startup pitch for Single Brain, sharing raw feedback on sales decks, messaging, and positioning AI without triggering fear of job replacement. They discuss how to simplify slides, improve storytelling, and sell AI as a productivity partner. The conversation also dives into AI business models, comparing Cursor vs Lovable, retention challenges, and hidden unit economics behind fast-growing AI tools. A must-watch for founders, marketers, and operators navigating AI monetization and go-to-market strategy. Key Takeaways: Sell AI as augmentation, not replacement Simple decks close more deals AI growth ≠ sustainable revenue Chapters: (00:00) Live AI pitch breakdown (01:01) Single Brain concept explained (03:33) Fixing AI sales messaging (05:42) AI adoption vs reality gap (07:01) Simplifying product slides (08:52) AI agent team strategy (11:04) AI startups and growth models (12:18) Lovable vs Cursor economics (15:22) AI cost and retention insights

Neil and Eric discuss how AI can turn you into a learning machine or a lazy one, why AI agents inside teams are transforming productivity, and how businesses can win by training AI instead of people. They break down ChatGPT ad performance vs Google and Meta, the winner-take-all nature of AI SEO rankings, and why relationships still drive enterprise revenue. Learn how to leverage AI for marketing, sales, and operations while avoiding costly mistakes. Key Takeaways: AI makes you smarter or lazier AI agents are reshaping teams Position #1 wins AI search Chapters: (00:00) AI: Learning vs Laziness (00:33) Smart vs Lazy Users (01:04) AI Agents in Teams (01:29) AI Coaching Employees (03:00) AI Business Opportunities (05:19) AI SEO Rankings Data (06:47) ChatGPT Ads vs Google (09:13) APIs and AI Agents (10:59) Power of Relationships (14:18) Networking and Trust

Neil and Eric discuss the surprising claim that Anthropic ran its growth team with just one person and what that really means for modern marketing. They break down why great products often drive growth more than big marketing teams, how engineers frequently lead marketing initiatives in startups, and why AI should replace workflows instead of people. The conversation also covers brand vs performance marketing, how enterprises actually allocate ad budgets, and the growing role of AI tools like Claude AI and ChatGPT in marketing operations. Key Takeaways: • Great products grow faster than great marketing alone. • AI should replace processes, not people. • Enterprise marketing is driven by brand, not just ads. Chapters: (00:00) Anthropic One-Person Growth Team (00:32) Product-Led Growth Explained (01:21) Engineers Running Marketing (03:09) Airbnb SEO Story (04:56) Claude’s Explosive Growth (06:49) AI Replacing Workflows (10:04) Key Man Risk In Companies (12:34) Where Companies Spend Ad Budgets (14:07) Brand Advertising Importance (16:48) Four Deployed Marketer Model (19:01) AI Content Quality Problem

AI is changing the workforce faster than most companies expected. In this episode, Neil and Eric discuss how AI will reshape jobs, why some companies are cutting staff, and the real difference between employees who thrive and those who struggle in an AI-driven world. They explain why success is no longer about junior vs senior, but about how well you combine strong judgment with AI tools. You will also hear a real example of how relying only on AI can backfire. Hosted by Neil Patel and Eric Siu, this episode breaks down what it really takes to succeed in the age of AI. Key Takeaways: • AI rewards people with judgment and strategy • Lazy AI use creates average results • The best performers combine skill with AI Chapters: (00:00) AI vs Experience in the Workplace (00:26) AI and Future Job Displacement (01:01) Companies Cutting Staff with AI (02:22) AI as a Layoff Narrative (03:22) AI Brings Out the Best or Worst (04:20) Lazy AI Use Example (06:48) Human Skill + AI Advantage (07:56) AI Supercharging Top Performers (09:27) Who Thrives in an AI World (10:07) The AI Workforce Matrix (11:46) Teaching Teams to Use AI

Neil and Eric break down how AI search is crushing publisher traffic, why informational content is losing, and where transactional SEO still wins. They unpack search everywhere optimization, local AI model economics, Mac Studio RAM needs, and Intercom’s Fin turnaround from slowing SaaS growth to a major AI pivot. A sharp episode on adapting fast, measuring revenue over traffic, and using creative destruction to stay ahead in AI marketing. Key takeaways AI search is killing informational traffic Transactional SEO still drives revenue Intercom’s AI pivot shows how brands survive Chapters (00:00) AI traffic collapse (01:01) Informational vs transactional SEO (03:31) ClickFlow AI SEO break (04:04) Search everywhere adaptation (05:16) Local AI model costs (06:50) Mac Studio RAM for AI (08:27) Intercom AI pivot (13:26) Creative destruction strategy (20:13) AI hiring and staying ahead

Neil and Eric break down how they are using OpenClaw and AI agents to automate marketing, hiring, analytics, and deal recovery. Eric explains how his Telegram “chief of staff” bot Alfred manages content, recruiting, and dashboards while integrating with Slack and company data. They also reveal the Beat Claude hiring challenge, how AI agents can run workflows across teams, and why recovering old leads drives over 20% of new revenue. The episode also covers AEO vs traditional SEO and common mistakes businesses make when creating AI-optimized content. Key Takeaways • AI agents can run marketing, hiring, and analytics from one dashboard • Over 20% of new revenue can come from old leads • Poor AEO content strategy can damage traditional SEO rankings Chapters (00:00) OpenClaw Telegram AI Agents (00:41) Alfred Chief-of-Staff Bot (02:54) Beat Claude Hiring Challenge (06:34) GitHub Challenge Breakdown (11:01) AI Agent Dashboard System (14:03) Deal Revival Automation (15:00) Old Lead Revenue Stats (17:20) Slack AI Agent Invasion (19:44) AEO SEO Strategy Mistakes

Neil and Eric break down what marketers in Hong Kong and India are seeing right now, from softer China growth and consumer spending trends to enterprise AI adoption, agent workflows, and the rise of robots doing robot work. Hosted by Neil and Eric, this episode explores AI marketing trends, persuasion in global markets, AI agents, GEO, enterprise marketing strategy, and why training AI with true specialists matters. Key takeaways: AI agents are changing marketing faster than most teams realize. Enterprise AI wins come from specialist training, not mediocre prompts. Stop paying humans to do robot work. Chapters: (00:00) Global marketing trends from Hong Kong (01:40) China growth and consumer spending (03:20) Persuasion and price-sensitive markets (04:25) ClickFlow AI SEO break (05:20) Eric on AI obsession (06:10) Open source AI and security (07:28) Stop paying humans robot work (09:01) AI agents and enterprise adoption (10:20) Biggest AI wins and losses (12:20) Why specialists train AI better

Neil and Eric break down why AI-generated podcasts are exploding, why most will become “AI slop,” and how listeners may push Apple, Google, and Spotify to label synthetic shows. They also debate where tools like Sora fit, and shift into the real advantage humans still have: high-quality peer groups. From EO and YPO to building your own curated dinners, they explain how to find business value, filter the right room, and compound relationships over time. Plus: ClickFlow’s approach to AI content that’s actually publishable. Key Takeaways AI-generated podcasts will force authenticity labels. Human-only curation could become the next platform wedge. Better peers beat more content, every time. Chapters (00:00) AI-generated podcasts exploding (01:04) Labeling AI podcasts prediction (01:33) Sora performance discussion (02:02) YPO summit and events (03:02) YPO Gold and networking (05:42) ClickFlow ad break (06:16) Build your own peer group (08:23) Why YPO didn’t fit (09:33) EO, Hampton, YPO thresholds (11:08) Final thoughts and wrap