Eric Siu and Neil Patel
500 episodes listed below
Growth talk for AI-era operators.
Marketing School treats marketing news like a live operating problem. Its conversations move from Anthropic, OpenAI, Meta, IKEA, NVIDIA, Snap, Pinterest, and X into budgets, tools, conversion rates, staffing, and what a working team should actually change.
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Marketing School is a daily-feeling growth conversation for operators watching AI rewrite the marketing stack in real time. It is not gentle industry commentary. The show treats each headline as a commercial problem: where does the margin go, what channel opens up, what should a team stop doing, and which tool is worth the bill. Recent episodes spend a lot of time on AI search, agent workflows, paid media, SEO, brand power, and the changing shape of work. Anthropic becomes a marketing channel. OpenAI’s podcast deal becomes a media strategy case. IKEA’s customer-service chatbot becomes a way to see demand that a company might otherwise miss. Meta’s AI requirements become a debate about performance reviews, hiring standards, and whether leaders now have to inspire and pressure their teams at the same time. The show likes concrete examples. It talks about GitHub repos, AI marketing skills, CRM follow-ups, payment processors, local-currency checkout problems, content production, internal linking, and ad incrementality. The useful part is the way those examples get pulled back into operating questions. A weaker business podcast might stop at the headline. Marketing School keeps asking what the headline changes inside a company on Monday morning. The register is casual and fast, with enough interruptions and side stories to feel like a live working session. That looseness is part of the appeal. The speakers are comfortable with rough numbers, strong takes, and unfinished arguments, which gives the show a more useful texture than polished recap audio. It can be skeptical without becoming detached. It can be excited about AI while still talking about costs, waste, and implementation friction. The strongest episodes are for marketers who already know the vocabulary and want sharper instincts about where attention, budget, and labor are moving next.
Made for: Built for marketers, business operators, and growth teams tracking AI, SEO, paid media, conversion, and operating leverage. It fits listeners who prefer practical debate over polished trend recaps.
What sets it apart: The show turns current business and AI stories into operating questions: cost, ROI, staffing, channel selection, and conversion. Its edge is the live operator feel, where rough examples become usable marketing judgment.
Neil Patel and Eric Siu bring you daily ACTIONABLE digital marketing lessons that they've learned through years of being in the trenches. Whether you have a new website or you're an established business, you'll learn the latest SEO, content marketing, social media, email marketing, conversion optimization and general online marketing strategies that work today from people that actually practice marketing and operate business. Approaching 100M downloads with 2,500+ episodes, you're sure to find something that will help you grow faster. Also don't forget to subscribe to our Marketing School Youtube channel to get more marketing goodness.
Based on 6 episodes we listened to · September 2026
Neil Patel and Eric Siu connect AI-era marketing tactics to staffing, costs, conversion data, and the decisions operators must make.
Marketing School turns fast-moving marketing news into an operator-to-operator conversation. Neil Patel and Eric Siu move from AI adoption inside teams to search strategy, advertising economics, conversion problems, and the cost of running AI tools, usually asking what a change…
Marketing headlines enter; Neil Patel and Eric Siu hand you the operator's questions before hype settles.
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Short reviews from the PlayNext desk, based on the episodes we processed.
A messy but useful map of where AI marketing turns into leads.
The piece treats AI visibility as an acquisition problem: if buyers turn to AI for recommendations, being present starts to matter. It works best when it shifts from a free GitHub skills repo toward tools that can actually generate leads, and when it asks which AI marketing…
A wild growth story that turns into a sharp debate about ethics and AI costs.
This episode opens on a growth story that is hard to shake: a GLP-1 telehealth founder is said to have used 800-plus fake doctor accounts, $20,000 in startup money, AI, and one full-time teammate, his brother, to build a business that reportedly generated $401 million in 2025…
A commercial-minded look at OpenAI's $200 million podcast buy, media control, and AI-company visibility.
The discussion keeps circling back to attention as a business asset: OpenAI's $200 million purchase of an 18 month old podcast, why that kind of move matters for press and message control, and how AI companies turn shipping into visibility.
Cheaper channels and faster AI workflows get the spotlight.
It frames cheaper social channels as still capable of strong returns, especially for smaller organizations that need profit before scale. Snap, Pinterest, and X are positioned as practical places to begin when the aim is to avoid the messier, more expensive corners of paid…
Brand power gets tested against cheaper products, minivan status, and the short-term strain of automation.
This episode follows Chamath's claim that brands are going to zero and pulls the thread through Tesla, BMW, BYD, and Louis Vuitton. The argument is straightforward: if products get cheaper to make and better products keep driving prices down, brand power may not hold the same…
Meta's AI push reads less like a tech story than a labor and ROI story.
This episode frames Meta's AI mandate as a labor and ROI problem, not a shiny product story. Layoffs sit in the background, performance reviews now depend on AI-driven impact, and the pressure to use the tools is treated as a real factor in promotion decisions.
AI adoption is revealing how unevenly people and teams change.
The conversation treats AI transformation as a practical test of adoption, not a slogan. Different teams are moving at different speeds, and the SEO group even built Tiger Claw while the creative team keeps moving quickly.
A brisk take on AI spend, SEO shifts, and brand leverage.
The episode starts with Jensen Huang's warning about token spend and uses that as a clean entry point into AI efficiency, marketing, and the cost of getting work done.
Simon Owens interviews founders about the revenue mechanics behind their media businesses.
Colin and Samir break down creator-economy news, from OpenAI's TBPN deal to AI podcasts.
AI-era marketing tactics from operators testing what works next.
Mark DeGrasse interviews agency and marketing operators on the frameworks behind their case studies.
Cory Cotten-Potter interviews B2B sales and marketing founders on AI's reshaping of pipeline generation.
Kristina Halvorson interviews content strategists about how the work actually gets done.
Okay, GitHub repos are the angle.
Okay, the claim is wild.
Okay, OpenAI bought attention.
This episode discusses how IKEA used an AI chatbot to identify unmet customer demand for interior design help, leading to a $1 billion revenue stream through employee reskilling rather than layoffs.
They open with a blunt marketing thesis.
Brands might not be going to zero, but the hosts treat the idea like a live business fight.
Meta made AI use part of the job.
This episode discusses Nvidia's accelerating growth and profitability compared to other tech giants like Oracle, Microsoft, and Google, while touching on corporate layoffs and AI costs.
Neil Patel and Eric Siu discuss using APIs for SEO and AEO, and debate the effectiveness of AI-generated content in ranking.
AI transformation is starting to feel less theoretical and a lot more awkward.
Neil Patel and Eric Siu discuss shifting marketing spend to AI-driven strategies, including tokens and cold email infrastructure.
Jensen Huang's comment gets unpacked.
The hosts discuss a BBC reporter's experiment hacking ChatGPT and Google's AI rankings with a fake blog post, and debate the ethics and longevity of such tactics.
Neil Patel and Eric Siu discuss the viral rise of OpenClaw on GitHub and demonstrate how to use AI to create dot charts for marketing content.
Neil Patel and Eric Siu discuss Jensen Huang's quote about AI and layoffs, arguing that companies use AI as a narrative to cover slowing growth.
Neil and Eric analyze a YouTube channel that publishes AI-generated videos at high volume, using an AI tool to assess its performance and viability.
Neil Patel and Eric Siu discuss Meta's acquisition of the founders of Moat Book, an AI agent social network, and how marketers need to adapt to marketing to AI agents.
Neil Patel and Eric Siu discuss how AI can be used as a learning tool or a crutch, and how AI agents are being integrated into team workflows for coaching and performance management.
Neil Patel and Eric Siu discuss how Anthropic's growth team is just one person and the role of product quality and external contractors in growth.
Neil Patel and Eric Siu discuss the dramatic traffic decline of major tech publications due to AI overviews and emphasize the importance of transactional content for revenue.
OpenClaw begins as a Telegram workflow.
Core PPI came in hot.
This episode compares the slow adoption of the internet by corporations to the urgent need for AI adaptation today, emphasizing that rapid technological changes leave no time buffer for complacency in the workplace.
Neil Patel and Eric Siu discuss the problem of 'slop' in AI-generated content and products, using a case study of 2,000 AI articles that temporarily ranked but disappeared.
Neil Patel and Eric Siu discuss 10 SEO lessons that remain effective in the AI era, emphasizing topic clusters and free product giveaways.
Neil Patel and Eric Siu discuss a contrarian view that AI will create a labor shortage rather than destroy jobs, citing deflation, workforce opt-outs, and new industries.
Neil Patel and Eric Siu discuss 10 ways AI is changing marketing, including AI fluency requirements and using AI to automate programmatic SEO tasks.
Neil Patel and Eric Siu discuss counterintuitive marketing truths, starting with free products being better than ads and boring marketing making the most money.
This episode discusses how to grow quickly on X (formerly Twitter) by focusing on high-quality, meaningful content rather than spamming with low-value posts like common crypto acronyms.
The hosts discuss how AI tools like Cloud Code can automate marketing tasks, potentially replacing some marketing roles while elevating the need for high-agency managers.
This episode discusses how new hires risk becoming dead weight without developing taste and agency, emphasizing the urgent need for AI adaptation through initiatives like cloud code training and coaching to future-proof teams.
Neil Patel and Eric Siu discuss a controversial email marketing tactic using a Pornhub-themed subject line, debating its effectiveness and potential brand damage.
This episode explores how non-coders can leverage Claude Code with the enhanced Opus 4.5 model to build tools, automate business processes, and potentially get rich by creating solutions like a Slack bot for analyzing sales data.
Neil Patel and Eric Siu discuss how creator-operators should price their influencer deals based on business revenue.
A daily marketing podcast offering actionable digital marketing lessons and strategies from experienced practitioners.
Neil Patel and Eric Siu discuss why big companies are not hiring in 2026, citing data from Wall Street Journal and CEO surveys.