AI Marketing

Episode Date: May 7, 2025 Host: Mark Fidelman Length: ~10 minutes 🔥 Episode Summary: This week, Mark dives into the biggest and boldest updates in AI marketing – from OpenAI’s attempt to unseat Google Shopping, to a hilarious campaign where real grandmas outshine machine learning. Tune in to hear how: * ChatGPT just became your personal shopping assistant (and possibly Google’s worst nightmare) * Meltwater’s new AI teammate Mira is changing how marketers do their jobs * Google’s AI answers are stealing your SEO clicks * A Mexican food brand launched “Abuela Intelligence” to roast AI hype with old-school wisdom Buckle up – this is AI news with a sharp edge, told in classic Mark Fidelman style: funny, fast, and fearlessly bold. 🧠 Key Topics Covered: 🛍️ ChatGPT Goes Shopping * OpenAI rolls out product search + recommendations * No ads, no affiliate links — just pure AI shopping curation * What this means for brand marketers and SEO “It’s SEO meets QVC, but with AI running the show.” 🤖 Meet Mira: Your AI Marketing Sidekick * Meltwater’s AI-powered agent now automates research, monitoring, and analysis * Turns billions of data points into real-time brand intelligence “Think of Mira as Jarvis, but for CMOs.” 📉 Google’s AI Kills the Click * New data shows AI snippets reduce clicks to top results by 34.5% * Pichai says it boosts engagement — but the numbers say otherwise * Marketers need new ways to win in a zero-click world 😂 Abuela Intelligence Outsmarts AI * Del Real Foods launches “Abuela Intelligence” instead of artificial intelligence * Grandma-powered advice centers, sassy campaigns, and cultural genius “Hasta la vista, Chatbot — Grandma’s got this.” 🔗 Mentions & Resources: * OpenAI’s Shopping Features: TechCrunch * Meltwater’s Mira Launch: Adweek * Ahrefs SEO Study: Search Engine Journal * Del Real’s Abuela Intelligence Campaign: Marketing Brew 🔁 Episode CTA: Liked this episode? * Smash that subscribe button * Share it with a fellow marketer who needs some AI swagger * And remember — you don’t need a supercomputer to be brilliant, sometimes a grandma’s advice will do just fine 😉

Featuring: Matt from Light Writer & Envoy Design Episode Overview: In this high-energy episode, Mark and Matt ditch the typical buzzword bingo and get into the real meat of AI and quantum computing. After a fun kickoff swapping Spring Break stories (Ferraris, Vegas, the San Diego Zoo, yes, it got wild), the two dive into quantum computing's practical, real-world impact on AI, synthetic data, and the massive wave of innovation that's about to crush traditional tech models. Highlights: * Spring Break Shenanigans: Ferraris, Lamborghinis, and family adventures in San Diego and Vegas. * Matt's 26-Year Tech Journey: From Apple II and Basic programming to Shopify builds and now Quantum AI. * Quantum Computing Reality Check: Why quantum computers aren't just "faster laptops" — and why that's a good thing. * Quantum + AI = Synthetic Data Revolution: How quantum computers will create human genome data and radically supercharge AI learning models. * Healthcare and Scientific Breakthroughs: Why pharma, biotech, and aging research will never be the same once quantum computing hits full stride. * Light Writer & Envoy Design’s Next Big Leap: Six new quantum-based products launching in the next 3–4 weeks. Stay tuned. Next Moves: * Matt to launch 6 new quantum computing products in ~4 weeks. * Mark to drop this podcast episode like it’s hot within the week. * Matt to spread the word and keep Mark posted on any major AI or quantum breakthroughs. Key Takeaways: * Quantum computers can generate truly random numbers and synthetic data — a game-changer for machine learning models. * Combining quantum computing with GPUs could lead to major leaps in healthcare, aging, and complex problem-solving. * AI is not just evolving — with quantum’s help, it’s about to revolutionize every major industry. * It’s early, but if you’re not paying attention to quantum and synthetic data, you're already behind. Guest Spotlight: Matt Hampton, representing Light Writer and Envoy Design a cutting-edge team at the crossroads of quantum computing and AI innovation.

AI Marketing Podcast Schedule (Nikolay Filichkin) with Mark E Fidelman Quick recap Mark and Nick discussed the topic of Gpu alternative investments, with Nick explaining the process of funding deals and the financial aspects of investing in GPUs. They also discussed the progress of their website, the regulatory aspects of their business, and the potential of considering Dubai for their business due to its growth in tokenization and AI. The conversation concluded with an agreement to reconnect in about 90 days to assess the progress of their business. Summary Gpu Alternative Investments in AI Industry Mark and Nick discussed the topic of Gpu alternative investments. Nick, co-founder and chief business officer at Compute Labs, explained that their business helps data center operators scale their business and allows investors to invest in Gpus or compute products as a new emerging asset class. He emphasized the importance of this investment due to the massive growth of the AI industry, and the lack of direct access to the growth of the compute space. Nick also mentioned that they provide market education and use a platform to present specific Gpu offers. GPU Funding Process Explained Nick discussed the process of funding deals, including the capital expenses, operational expenses, and projected revenue. He explained that investors receive a share in an SPV that holds rights to the GPUs, which is represented by an NFT. Mark questioned the type of GPU and the payout process, to which Nick clarified that the investor receives the specific GPU they're interested in and the payout is in USDC. Nick also addressed the GPU provider's benefits, stating they receive capital to scale their business and manage net revenue. Mark inquired about purchasing multiple GPUs, to which Nick confirmed that each GPU would be represented by an NFT. GPU Investment Financials and Returns Nick and Mark discussed the financial aspects of investing in GPUs. Nick clarified that they target a minimum 20% internal rate of return (IRR) for their projections, and they manage the assets, including hardware issues, upgrades, and liquidation. Mark inquired about the average return on investment and the role of the investor in the process, to which Nick explained that the investor collects a monthly dividend, but the cash flow and dividend depend on utilization and contracted revenue. They also discussed the minimum investment amount, with Nick stating that there is no minimum at this time, but it may vary for certain deals. Follow or Contact me on X www.x.com/markfidelman [https://www.x.com/markfidelman]

Mark Fidelman and Eugene Vyborov discuss the differences between traditional automation and agentic AI in marketing. Eugene, founder of Ability AI, explains that agentic AI can make decisions and execute them, unlike traditional automation, which is rule-based. Ability AI's media buying agent simulates a media buyer's work, understanding audiences, creating value propositions, and launching campaigns on Facebook. Eugene highlights that agentic AI is a paradigm shift, with potential for significant efficiency gains. He advises marketers to learn about AI to stay competitive and suggests testing AI for competitive intelligence. Ability AI's media buying agent is in beta, with general availability soon.   Introduction and Guest Introduction * Mark Fidelman introduces the topic of the discussion, focusing on the differences between traditional automation and agentic AI in marketing. * Mark Fidelman introduces Eugene Vyborov, a serial entrepreneur and founder of Ability AI, who is currently in Portugal. * Eugene Vyborov provides a brief introduction about himself and his company, Ability AI, which focuses on AI automation for marketing, particularly media buying with Facebook. * Eugene Vyborov explains his interest in agentic AI and entrepreneurship, highlighting his expertise in this area. Differences Between Traditional Automation and Agentic Automation * Eugene Vyborov explains that traditional automation is rule-based and lacks intelligence, while agentic automation can make decisions and execute them. * Agentic automation can analyze information, make judgments, and take actions to achieve better results. * Eugene Vyborov emphasizes the importance of content creation in marketing and how agentic automation can create content at scale. * Mark Fidelman asks for clarification on the term "agentic," and Eugene explains that an agent can be proactive or follow instructions, depending on the business use case. Paradigm Shift in Marketing Automation * Eugene Vyborov believes that agentic automation represents a full paradigm shift, larger than the introduction of the internet. * Mark Fidelman shares a statistic from a previous episode where only 10% of marketers were using ChatGPT a year ago. * Mark Fidelman and Eugene discuss how agentic automation can make marketing more relevant and directed to individuals in real-time. * Eugene Vyborov provides examples of how agentic automation is already being used in media buying, SEO, and cold emailing. Case Studies and Practical Examples * Eugene shares that his own marketing for Ability AI is run by their agent, which books demos at a decent cost. * Mark Fidelman provides an example of how agentic automation could personalize emails in real-time based on information found on the internet. * Eugene discusses how agentic automation can create SEO-optimized content at scale, leading to significant traffic for websites. * Eugene explains how their media buying agent works, from understanding the audience to launching and optimizing campaigns on Facebook. Autonomy and Trust in AI Agents * Mark Fidelman asks about the level of autonomy marketers should allow their AI agents to have. * Eugene explains that currently, the level of autonomy is relatively low due to the need for trust and the risk of mistakes. * Eugene believes that over time, agents will become more autonomous and take over more decision-making responsibilities. * Mark Fidelman and Eugene discuss the performance metrics and KPIs used to judge agentic automation, such as return on ad spend and CPC. Technical Stack and Market Trends * Eugene  explains that there is no single tech stack for agentic automation, with various solutions available. * Eugene  mentions generic solutions like Make and Natin that can help build agentic workflows. * Mark Fidelman asks about the biggest objections or misconceptions marketers have about agentic automation. * Eugene  identifies mistrust, desire to control, and fear of replacement as major concerns among marketers. Future of Marketing with Agentic Automation * Eugene  believes that agentic automation will introduce more opportunities than it will take away, leading to a fragmented market with more solopreneurs and small teams. * Mark Fidelman and Eugene discuss the potential impact of AGI on marketing and the importance of marketers learning to work with AI. * Mark Fidelman suggests a use case for marketers to test: having an agent constantly scour the internet for competitive moves. * Eugene advises marketers to spend time learning about and working with agentic systems to stay ahead of the curve. Rapid Fire Questions and Closing Remarks * Eugene  identifies ChatGPT as the most overhyped AI tool, as it may limit exploration of other AI capabilities. * Eugene Vibraf suggests that the role of go-to-market engineer will become more important in the future. * Eugene believes that while AI can handle basic strategy, humans will still be needed to approve and commit to the strategy. * Eugene  expresses concern about the uncertainty and potential misuse of agentic AI, emphasizing the need for control. Contact Information and Final Thoughts * Eugene  provides information about Ability AI and their media buying agent for Meta. * Mark Fidelman shares his contact information and encourages listeners to reach out to Eugene and test Ability AI's products. * Mark Fidelman concludes by emphasizing the importance of agentic automation in marketing and the potential it has to revolutionize the industry.

Mark Fidelman and Chris Andrew discuss the shift from traditional SEO to AI-driven search. Chris, co-founder and CEO of Scrunch AI, emphasizes that AI search is becoming more prevalent, offering personalized and less biased answers. He highlights the importance of optimizing for AI models by focusing on text-based content and understanding customer personas. Chris notes that AI search is driving significant conversion rates, often outperforming traditional SEO. Scrunch AI helps businesses monitor and improve their AI search presence, with an average 40% growth in AI referral traffic. They also discuss the potential for AI to introduce new ad formats and the need for marketers to adapt to these changes.   Introduction and Participant Backgrounds * Mark Fidelman introduces the topic of AI marketing and expresses his preference for AI search over traditional SEO. * Chris Andrew introduces himself as the co-founder and CEO of Scrunch AI, emphasizing the shift towards AI-first customer journeys. * Mark Fidelman shares his personal experience of using AI for searches, noting the custom and direct answers provided by AI. * Chris Andrew mentions his favorite AI tools for marketing and sales, including Google's LM product, Granola note-taking app, and various GPT models. The Shift from Traditional Search to AI Search * Chris Andrew explains why he believes search will be replaced by AI, highlighting the simplicity and personalization AI offers. * He discusses the limitations of traditional browsing and the advantages of AI in providing direct answers and understanding user intent. * Chris Andrew shares his personal experience of relying on AI for research and how it has changed his customer journey. * He emphasizes that AI is better for humans as it provides less biased and more accurate information. Impact of AI on SEO and Customer Journey * Chris Andrew clarifies that SEO is not dead but has evolved with AI, which now evaluates content based on human intent. * He explains the importance of text-based content like FAQs, knowledge bases, and glossaries for optimizing AI models. * Chris Andrew discusses the role of large language models in evaluating content and the need for organizations to bring new data sets online. * He highlights the importance of understanding customer personas and how AI can provide personalized results based on user background and sophistication. Optimizing for AI Models and Privacy Considerations * Chris Andrew explains how AI models rely on traditional search indices to determine credibility and relevance. * He discusses the role of Google's index and the introduction of OpenAI's own index in the AI search landscape. * Chris Andrew emphasizes the need for organizations to bring up-to-date and relevant data sets online to improve their AI presence. * He addresses privacy concerns by focusing on non-confidential internal data sets that can enrich AI models' understanding of brands and products. The Role of AI in Customer Journey Mapping * Chris Andrew discusses the importance of understanding customer personas and how AI can provide personalized results based on user background. * He shares examples of how AI models can cater to different user needs, such as high-end fashion shoppers versus budget-conscious consumers. * Chris Andrew highlights the potential for AI to create deeply personalized experiences and the need for organizations to map their customer journeys accordingly. * He mentions his participation in a panel on neurodiversity in AI, which explores how models can help people with different thinking styles. Marketing Strategies for AI-First Customer Journeys * Chris Andrew advises marketers to monitor and understand AI search trends, including the frequency of AI agent visits to their websites. * He emphasizes the importance of tracking referral visits, conversion rates, and citations in AI search results. * Chris Andrew suggests that marketers should focus on providing content that aligns with AI models' language-based processing. * He highlights the need for organizations to adapt their content strategies to cater to AI models and improve their AI presence. Introduction of Scrunch AI and Its Value Proposition * Chris Andrew introduces Scrunch AI, a platform that helps organizations optimize for AI-first customer journeys. * He explains how Scrunch AI provides deep monitoring, insights, and recommendations to improve AI presence. * Chris Andrew shares that Scrunch AI's average customer sees a 40% growth in AI referral traffic and a 3-4x improvement in overall AI presence. * He encourages marketers to book a meeting with Scrunch AI to understand their AI search performance and receive actionable recommendations. Final Thoughts and Future Trends * Mark Fidelman and Chris Andrew discuss the potential for AI models to introduce ads and the importance of maintaining neutrality. * Chris Andrew shares his thoughts on the future of AI search, including the potential for micro-transactions for referral visits. * Mark Fidelman emphasizes the need for marketers to start thinking about AI optimization and the potential impact on customer journeys. * Chris Andrew concludes by expressing his excitement about the future of AI in marketing and the importance of understanding and adapting to AI search trends.