The New Frontier: The Agentic Commerce & Answer Engine Optimization podcast podcast artwork

PODCAST · business

The New Frontier: The Agentic Commerce & Answer Engine Optimization podcast

This podcast explores the fast-moving world of AI for leaders and owners of ecommerce businesses. We discuss topics such as AI Answer Engine Optimization - getting your brand mentioned by ChatGPT / Amazon Rufus. It's hosted by Jo Lambadjieva, Founder of Amazing Wave and AI Educator; and Max Sinclair, Founder of Azoma & ex-Amazonian. It is brought to you by www.azoma.ai and amazingwave.digital Connect with us:https://ecommerce-ai.beehiiv.com/https://twitter.com/maxsinclair4https://www.linkedin.com/in/max-sinclair-ai/https://www.linkedin.com/in/joannalambadjieva/

  1. 80

    Amazon Rufus Adoption is highest amongst Women, the Highly Educated, and Baby Boomers with Artiom Enkov of Gener8

    In this episode of The New Frontier, Jo and Max are joined by Artiom Enkov , VP of Insights at Gener8 to unpack one of the first detailed UK and US data studies on Amazon Rufus usage. Drawing on a fully consented metered panel of more than 50,000 Android users, Generate reveals a surprising demographic twist: Rufus is indexing highest among older shoppers, especially Baby Boomers, Gen X, and retired users, rather than the AI-native younger generations many would expect.The conversation dives into how shoppers are actually using Rufus inside Amazon. In the US, where Rufus has more advanced functionality and account memory, users lean heavily on comparison, product evaluation, post-purchase questions, and more complex prompts. In the UK, where Rufus is still more limited, usage is more focused on quick factual answers about products. The team explores why Rufus appears to be less about top-of-funnel discovery and more about helping shoppers navigate the “messy middle” of purchase decisions.The episode also looks ahead to the future of AI-powered commerce, including sponsored Rufus prompts, advertising inside AI shopping journeys, trust in AI recommendations, and Amazon’s move toward scheduled actions and agentic purchasing. From comparison tables to automated replenishment, the discussion highlights how Rufus could reshape not only search and advertising on Amazon, but the way brands think about optimization in an AI-first shopping environment.This podcast is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Azoma⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠⁠

  2. 79

    60% of Amazon Shoppers Use Rufus, and Those Who Do Purchase 2.74x More: Ian Simpson of Sensor Tower on Tracking 60,000 Shoppers

    In this episode of The New Frontier, Max sits down with Ian Simpson, SVP of Innovation at Sensor Tower, to unpack new data on how Amazon shoppers are using Rufus, Amazon’s AI shopping assistant. Based on a panel of 60,000 real U.S. shoppers tracked over 18 months, Sensor Tower found that heavy Amazon users now include Rufus in around 60% of shopping sessions—and shoppers who use Rufus are up to 2.74x more likely to purchase than those who don’t.Ian explains why the headline is less about Rufus magically creating demand, and more about high-intent shoppers adopting AI to help them find exactly what they already want to buy. The discussion dives into Sensor Tower’s methodology, the difference between web and app behavior, Black Friday and Q1 shopping patterns, and why Rufus usage drops during deal-led browsing events like Amazon’s Big Spring Sale.Max and Ian also explore what this means for brands selling on Amazon. As AI shopping assistants become embedded in the customer journey, product discovery is changing fast—and brands need to understand how to show up when shoppers ask Rufus for help. From agentic commerce to AI-driven product search, this episode offers a data-backed look at where Amazon shopping is heading next.This podcast is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Azoma⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠⁠

  3. 78

    New Frontier: The Agent Economy: Business Model Disruption in the Age of AI

    In this episode of The New Frontier, Max is joined by Martin Schwartzman, Partner and Global AI Lead at OC&C Strategy Consultants, to unpack how agentic AI is reshaping business models and commerce. The conversation starts with the week’s biggest news around agent commerce protocols from Google and OpenAI, exploring what “agentic commerce” really means for consumers. Martin paints a vivid picture of an AI-powered shopping journey where personal agents understand intent, preferences, size, availability, price, and quality—removing friction and shifting personalization from retailers to the consumer’s own AI.From there, the discussion dives into the implications for e-commerce platforms, brands, and marketplaces. Martin argues that agentic commerce is more of an evolution than a revolution for e-commerce overall, but one that significantly shifts power from the “shop window” to the decision layer controlled by AI. Winners will be brands and retailers with strong products, consistent availability, differentiated data, and superior end-to-end experiences, while those reliant on gaming search algorithms or paid traffic may lose their edge. The episode also explores how Amazon, Walmart, and Target may be affected, including the knock-on disruption to retailer media, loyalty models, and customer lifetime value in a world where AI intermediates the journey.The conversation then broadens to other industries under pressure from AI, including publishing, data owners, law, and consulting. Martin shares insights on the emerging “gold rush” for proprietary data, the risks of one-off licensing deals, the rise of synthetic data, and what publishers should consider when selling to AI labs. The episode closes with a thoughtful debate on whether consultants and lawyers are ultimately doomed, or simply forced to reinvent themselves, as AI moves toward weak and eventually full artificial general intelligence. A wide-ranging, practical, and forward-looking discussion on how AI is re-wiring the modern economy.This podcast is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Azoma⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠⁠

  4. 77

    2026 AI & Ecommerce Predictions with Jo & Max (Agentic Commerce, AI Wearables, The Death of Prompting and more)

    In the first 2026 episode of The New Frontier, as is tradition, Max and Jo dive into their annual predictions. They start with a quick look back at their 2025 predictions, many of which, from the AI infrastructure boom to Google’s dip in dominance, proved accurate.Looking ahead, they forecast a sharp rise in synthetic content, predicting that 30–40% of social media posts will be AI-generated or enhanced by year’s end. This tidal wave of “AI slop” will trigger a backlash, sparking renewed interest in human-made content, premium communities, and slower, more intentional creation. Hyper-personalization will define digital experiences across health, education, and commerce—driven by memory-enabled AI agents that tailor everything to the individual. At the same time, they predict a resurgence in digital PR as brands chase visibility in AI-powered search engines, which increasingly prioritize reputable media over slop-saturated platforms like Reddit and Wikipedia.The episode also explores the future of agentic commerce, where shopping journeys will shift from passive browsing to active AI assistance. Max predicts Amazon’s Rufus will evolve from a sidebar tool to the primary interface—replacing search entirely for many users. This, paired with the rise of AI wearables, proactive voice interfaces, and ambient agents, will blur the lines between consumer intent and algorithmic anticipation. They round out the conversation with bold takes on world models, long-form AI video, and fully autonomous scientific discovery—framing 2026 as the year AI stops assisting and starts acting.This podcast is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Azoma⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠⁠

  5. 76

    Sponsored Prompts: Amazon Ads' new format for the era of AI Search [Recorded Live from the Amazon Ads Educators' Summit]

    This special Episode of the New Frontier recorded live from the Amazon Ad Summit in Milan, to mark a landmark announcement: the launch of Sponsored Prompts groundbreaking new Ads format. Host Max Sinclair was joined by Oana Padurariu to discuss their workshop with Amazon’s Lead Global AI Advertising Product Manager, who explained how these AI-powered follow-up questions are reshaping shopper engagement. Unlike traditional ads, Sponsored Prompts appear as follow-up queries beneath Rufus responses, offering a more native, customer-friendly experience that blends seamlessly with the evolving landscape of answer engines.Currently in its free rollout phase, Sponsored Prompts are automatically generated based on a brand’s existing ad targeting and listing content. While advertisers can't yet edit the questions or responses, they can influence them through smart campaign structuring and listing optimization. The hosts emphasize the growing importance of clean campaign design, noting that Amazon’s system leverages product data and performance to craft the prompts and inferred answers. This backend differs from Rufus itself, even though they appear connected—highlighting Amazon’s layered approach to search and advertising technologies.The discussion turns to future predictions on how Amazon will quickly allow more customization as monetization kicks in and brands demand more control; and how this model will be copied by other platforms like OpenAI and Perplexity, as it offers a better path to monetizing answer engines. With Rufus users converting 60% more often and already adding $10 billion in revenue, Amazon’s new Sponsored Prompts could very well define the next generation of digital advertising.This podcast is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Azoma⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠⁠

  6. 75

    Alibaba’s AI Sourcing Agent Accio, and the Future of Agentic Commerce, with Ziwei Chen

    In this episode of The New Frontier, hosts Max and Jo welcome Ziwei Chen, Product Lead for Accio by Alibaba, for a deep dive into the intersection of AI, procurement, and global manufacturing. The conversation kicks off with Ziwei reflecting on her recent return to China after four years living in Silicon Valley, sharing insights on how the country has rapidly transformed technologically, including widespread adoption of facial recognition and group chat commerce. Comparing this with the U.S. tech ecosystem, she highlights how foundational innovation thrives in the West, while China leads in scaled application and user adoption.The discussion then shifts to how Accio is reshaping global sourcing with AI. Ziwei introduces a simple but powerful framework: AI can either “do it for me” or “teach me more.” Accio leans into both, automating repetitive sourcing tasks while also guiding users with data-driven insights. From entrepreneurs launching new product lines to procurement teams at large retailers, Accio streamlines supplier discovery, market research, and even product design using integrated tools like multimodal search and high-quality image generation—transforming how products are sourced and validated.Looking ahead, Zue discusses the next frontier of AI in manufacturing. She shares how factories, especially in China, are adopting AI for everything from automated defect detection to collaborative product innovation. With AI helping manufacturers reduce costs, iterate faster, and tap into emerging trends, Accio aims to bridge the gap between innovative ideas and real-world production. The episode wraps with reflections on the future of agent-based systems in procurement and how tools like Axio are getting remarkably close to true multi-step reasoning—bringing us closer to a fully AI-powered supply chain.This podcast is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Azoma⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠⁠

  7. 74

    Pivoting a failing marketplace business to an $11m ARR Enterprise AI SaaS with Gaétan Rougevin-Baville

    In this episode of The New Frontier, Max sits down with Gaétan Rougevin-Baville , CEO of Diffusely, an AI-powered visual production platform serving major players in fashion and automotive. Gaétan shares the remarkable story of how he led a hard pivot from a global photography marketplace into a verticalized AI SaaS business—scaling revenue to $11 million in just three years. Originally joining a company called MERO, Gaétan witnessed the rapid rise and fall of the traditional content production model as COVID-19 and advancing tech disrupted demand for professional photography.The conversation dives deep into the operational and emotional complexities of the pivot. At its peak, the company had over 800 employees and $45M in GMV, but pivoting to AI meant a complete overhaul - downsizing to 100 employees and realigning leadership. Gaétan opens up about making tough decisions, navigating mass layoffs, and building trust through transparency. He also offers insight into leading with empathy, supporting those affected through job placement efforts, and maintaining morale during massive organizational change.Looking ahead, Gaétan explains how Diffusely now helps enterprise clients in fashion and automotive generate and manage visual content at scale using AI. By focusing on deep verticalization, robust enterprise integration, and blending AI with human expertise, Diffusely delivers fast, high-volume image production. Gaia shares go-to-market strategies, lessons in hiring and customer success, and how to drive adoption in large, change-resistant organizations. It’s an honest, deeply practical look at modern leadership in the age of AI transformation.This podcast is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠Azoma⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠⁠

  8. 73

    Leading Answer Engine Optimization (AEO) at Mars Wrigley during the era AI Discoverability, with Global Director of Search Tory Bradley

    In this episode, Tory Bradley, Global E-Commerce Retail Search Director at Mars Wrigley, dives deep into how Mars is navigating the evolving world of GenAI, search, and digital commerce. Drawing on Mars’ legacy of embracing technology - from pioneering electrified chocolate production in the 1920s to revolutionizing vending machines- Tory explains how the company is once again at a pivotal inflection point. She shares how Mars, in partnership with Azoma, is embracing generative AI to stay visible in an increasingly digital path-to-purchase landscape, where tools like Amazon’s Rufus and OpenAI’s ChatGPT are reshaping the way consumers discover and shop for products.Tory breaks down the difference between traditional SEO and the newer, fast-moving world of Generative Engine Optimization (GEO), highlighting how retail search now demands cross-functional collaboration across content, PR, legal, and marketing. She emphasizes the need for both top-down leadership support and bottom-up experimentation to drive AI adoption. With real-time changes in how platforms like Amazon, Walmart, and others surface product information, Mars is investing in partnerships and agile processes to stay ahead of shifting algorithms, new discovery channels, and consumer behaviors.The conversation also explores the broader industry implications of AI-powered shopping assistants, such as Amazon’s Rufus and Walmart’s emerging integrations, which are already driving significant incremental sales. Tori shares how she stays informed in a fast-evolving space, the organizational challenges of aligning large teams toward innovation, and why she believes e-commerce and search are the most dynamic and exciting areas in marketing today. With a clear passion for building future-forward strategies, Tori is helping position Mars Wrigley as a trailblazer in Answer Engine Optimization (AEO) search during the AI era.This podcast is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠Azoma⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  9. 72

    The New Rufus: Reason, Research & Remembrance with Max Sinclair

    In this episode, Max, founder of Azoma, breaks down insights from his team's latest whitepaper (read here), co-authored with Andrew Bell, on Amazon’s AI shopping assistant, Rufus, and its transformative role in the future of e-commerce. Drawing from this deep dive and his own years at Amazon, Max explains how Rufus is rapidly evolving into a hyper-personalized shopping agent—one that remembers user preferences, reasons contextually, and incorporates data from external sources to deliver smarter product recommendations. He explores how Amazon is shifting from building the best e-commerce website to creating the most advanced shopping AI, poised to redefine how people shop online.Max outlines the strategic importance of Rufus for brands, emphasizing the need to rethink product detail pages in this new AI-first landscape. Rather than keyword stuffing, successful PDPs now focus on five key elements: property, event, activity, purpose, and audience—criteria drawn from Amazon’s own research. With Rufus fetching data from authoritative external sources like media reviews, Max stresses the importance of visibility across trusted third-party platforms. He also shares how brands, both large and small, are adapting differently—some investing in off-the-shelf AI tools like Azuma, others experimenting with custom GPTs to meet AI optimization demands.Looking ahead, Max predicts a near future where Rufus replaces the traditional search bar entirely, becoming the default interface for shopping on Amazon. He envisions an agent that not only understands users’ preferences deeply but also curates purchases based on aesthetics, past behaviors, and real-world context—ultimately offering a seamless, personalized, and highly efficient shopping experience. With AI reshaping every layer of commerce, Max leaves listeners with a clear takeaway: e-commerce is entering a new era, and those who adapt fast will lead the pack.This podcast is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠Azoma⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  10. 71

    How to raise a $11m Series A and disrupt a $1.7tn market with Jonny Plein

    In this episode of The New Frontier, hosts Jo and Max sit down with Jonny Plein, a repeat founder, investor and advisor. Jonny sold his first business Pouch for 7-Figures, and just announced a $11m Series A for his current business Yaso. YASO is a next-generation solution for ambitious brands looking to enter the $1.7tn Chinese ecommerce market and sell directly to Gen Z consumers, using the power of social commerce.Reflecting on his first exit, Jonny shares hard-earned lessons on what it takes to build and scale a company: staying obsessively organized from day one, learning to delegate low-value tasks, and being ruthless but fair when hiring and firing. He emphasizes the importance of storytelling in fundraising — how effectively you can communicate your company’s vision in 90 seconds — and reveals that Yaso’s success hinged on the strength of its founding team, whose complementary backgrounds in Chinese internet governance, technology, and finance gave them a rare edge in a complex market.The conversation dives deep into Yaso’s model, which enables brands to sell across China’s fragmented social commerce landscape through one streamlined system — integrating logistics, payments, and storefronts under a single roof. Johnny discusses the challenges of convincing brands to adopt a consignment model over traditional distribution and how data-driven results and trust have fueled their traction. With major clients like Pixi, Faith in Nature, and Cowshed, Yaso is positioning itself as a “revenue-based SaaS” company redefining cross-border e-commerce. For founders and brand leaders alike, Jonny’s story is a masterclass in execution, persistence, and building a global business with conviction.This podcast is brought to you by ⁠⁠⁠⁠⁠⁠⁠Azoma⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  11. 70

    Behind Pattern's $2.5 billion IPO, with CRO Bryce Warning and COO Rob Hahn

    In this episode, Jo is joined by Bryce Warning and Rob Hahn, the CRO and COO of Pattern, fresh off their highly anticipated IPO. The conversation kicks off with reflections on the milestone: how an IPO is not just the end of a journey, but the beginning of a new phase - one with higher expectations, greater scale, and renewed focus on delivery.They dive deep into what makes Pattern unique: the marriage of data, technology, and operations. The backbone of their success lies in automating and augmenting decisions across every part of the business - from ad tech to supply chains. But automation isn’t enough - it must be paired with world‑class expertise and rigorous data hygiene, because bad data leads to bad decisions. They also explore how AI is reshaping discovery, forecasting, and fulfillment, and how Pattern’s proprietary data gives them a competitive edge.The conversation then turns toward broader trends: the increasing importance of consumer journeys beyond Amazon, the evolving role of physical retail, and the challenges of international expansion. Bryce and Rob stress that despite industry headwinds - higher fees, raised barriers to entry - the fundamentals for success remain: great products, smart supply chains, and strategic brand building. For Pattern, the IPO marks a stepping stone, “the next leg,” not the finish line.This podcast is brought to you by ⁠⁠⁠⁠⁠⁠Azoma⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  12. 69

    The Next Six Months Will Define Which Brands Win In AI Search - Here's How To Make Sure You Are Recommended By ChatGPT (Azoma Founder Max Sinclair's Guide to Answer Engine Optimization)

    This week, our usual host Max Sinclair, founder of Azoma and former Amazon search leader, takes a turn in the hot seat to dive deep into the transformation AI is bringing to consumer search. With clients like Mars, Zappos, Arla and Mars, Zoma helps global brands optimize their visibility within AI-powered platforms like ChatGPT and Perplexity. Max explains how the shift from keyword-based ranking to reasoning models with memory and personalization is forcing brands to rethink how they surface online—and how this new era rewards early adopters.Max shares how Azoma has driven 5–7x increases in brand recommendations on AI platforms by auditing AI visibility, then generating optimized content like product listings, FAQs, and recipes tailored to trending conversational prompts. With insights on consumer behavior—like Gen Z’s heavy AI tool usage—and practical strategies for brands to stay relevant, Max outlines the narrowing window for competitive advantage as AI search rapidly becomes the default experience.Looking ahead, Max envisions a future of agentic commerce, where AI browsers and embedded assistants handle end-to-end shopping. As consumer trust in AI deepens, he predicts brands will need to focus less on traditional website storefronts and more on clear, human-first content that resonates with both people and models. He also offers powerful advice for aspiring AI founders on timing, founder-market fit, and going all-in to seize emerging opportunities.This podcast is brought to you by ⁠⁠⁠⁠⁠Azoma⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  13. 68

    How to Structure Your Organization in the Age of AI with Lauren Livak

    -Show Notes/Events-(1) Join us at our exclusive afterparty during Amazon Accelerate in September in Seattle: ⁠https://www.eventbrite.com/e/seattle-seller-shell-ebration-tickets-1527728730759 ⁠sponsored by ⁠Azoma⁠ & partners. (2) If you are a Brand or Retailer, you can apply for a free ticket at the 2025 Digital Shelf Summit in October 16th: https://www.digitalshelfinstitute.org/dss-europe-Episode Description- In this episode of The New Frontier, Jo and Max are joined by Lauren Livak Gilbert⁠, Executive Director of the Digital Shelf Institute and co-host of Unpacking the Digital Shelf. Lauren shares insights from her recent research (download here), where she interviewed 90 brand leaders across industries to explore how organizations are evolving their structures to adapt to AI. Rather than simply tacking AI onto existing e-commerce departments, Lauren emphasizes the need for a broader, omni-functional shift—highlighting that true AI enablement requires rethinking everything from data governance and HR strategy to cross-functional alignment and brand voice clarity.The conversation dives into the concept of “AI-enabled organizations,” where brand leaders work alongside AI agents that assist with tasks like content creation, user testing, and competitor analysis. Lauren argues this shift doesn’t spell doom for human workers but instead empowers them to focus on higher-level strategy. She introduces the idea of the "orchestrator"—a new kind of leader who manages both human teams and AI tools. The discussion also covers organizational models like Bayer’s dynamic shared ownership and practical ways to build cross-functional collaboration through shared goals, agile experiments, and evolving job pathways.As AI agents begin influencing consumer discovery via platforms like ChatGPT and Google AI, the trio explores how brands must adapt their digital presence—especially in spaces like Reddit, YouTube, and LinkedIn—to ensure visibility in answer engines, and the invention of the new role of the "AI Visibility Engineer" pioneered by Azoma. Lauren stresses that success in the AI era hinges not on flashy tech but on getting the fundamentals right: clear goals, unified teams, and scalable processes. This podcast is brought to you by ⁠⁠⁠⁠Azoma⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  14. 67

    Bootstrapped to $210m Buyout: The Story Behind The Double SaaS Acquisition of Seller Investigators

    This episode of The New Frontier dives deep into the story of the founding, rapid growth and double acquisition of Seller Investigators with co-founders Robert and Lee. The pair shares how frustrating personal experience with Amazon's accounting led them to build a specialized audit and refund recovery platform. Starting as a side project with two interns on Google Sheest, they scaled their bootstrapped business into an industry-leading solution with $3m ARR before catching the eye of e-commerce giant Carbon6, who acquired them in 2022.Robert and Lee unpack the strategic decisions behind Seller Investigators’ success, from prioritizing partnerships and system scalability to resisting the urge to raise capital. They emphasize the value of operational excellence, ethical leadership, and maintaining a strong company culture. The duo also shares behind-the-scenes insights into their acquisition journey - what made Carbon 6 the right fit, how they navigated negotiations, and why culture and alignment ultimately mattered more than the highest offer. Robert and Lee then reflect on adapting to new roles, shifting go-to-market strategies, and lessons learned from scaling revenues 15x inside Carbon6 to +$45m ARR. Finally, the conversation turns toward Carbon6's eventual acquisition by SPS Commerce for $210 million and the challenges of integrating entrepreneurial teams into an enterprise environment. They close the episode by sharing candid perspectives on platform risk, AI disruption, and why grit, adaptability, and strong go-to-market execution will always be central to startup success.If you are going to Amazon Accelerate in September, join us for a drink in Seattle: https://www.eventbrite.com/e/seattle-seller-shell-ebration-tickets-1527728730759 sponsored by Azoma & partners. This podcast is brought to you by ⁠⁠⁠⁠Azoma⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  15. 66

    The Future of Amazon's Generative AI Tooling for Sellers, with Kabir Bedi, Head of Product for Generative AI at Amazon Ads

    In this captivating episode of The New Frontier, hosts Jo and Max dive deep into the future of Amazon Ads with Kabir Bedi, Head of Product for Generative AI at Amazon Ads. Kabir shares visionary insights into how Amazon is set to revolutionize advertising by harnessing cutting-edge generative AI to simplify and supercharge ad creation, transforming how sellers and advertisers engage customers.Kabir unveils Amazon's ambitious plans for generative AI tooling, highlighting exciting possibilities such as hyper-personalized video ads, advanced image generation, and powerful optimization tools designed to help advertisers reach more customers faster and more efficiently. He discusses the evolving capabilities of Amazon’s AI, including Amazon’s proprietary insights and data, that will enable brands of all sizes to effortlessly produce high-quality content, experiment rapidly, and scale their advertising like never before.Finally, the conversation explores Amazon's strategic position in the broader AI landscape, from building flexible and powerful AI infrastructure within AWS to tackling AI challenges like hallucinations and accuracy. Kabir’s unique perspective paints a vivid picture of a future where Amazon Ads’ generative AI tooling sets new standards for creativity, effectiveness, and accessibility in digital advertising.This podcast is brought to you by ⁠⁠⁠⁠Azoma⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  16. 65

    Cracking ChatGPT (and ruling Rufus): Azoma founder Max Sinclair’s Guide to Generative Engine Optimization (GEO) in 2025

    In this episode, Max Sinclair, founder and CEO of Azoma, a pioneering scale-up specializing in Generative Engine Optimization (GEO), goes deep into everything AI Engine Optimization (AEO). Max, a former Amazon search expert, highlights why traditional SEO methods are quickly becoming obsolete in the face of AI-driven search platforms such as ChatGPT, Perplexity, and Amazon Rufus. He breaks down the fundamental differences between SEO and GEO, emphasizing the critical role of creating high-quality, AI-optimized content tailored to user intent rather than relying solely on keyword-based strategies.Max shares insightful data revealing that 58% of consumers have shifted from Google search to AI-powered platforms, with younger demographics almost entirely adopting AI tools for discovering products and services. He explains how Azoma provides brands with powerful analytics to track and improve their visibility, sentiment, and overall presence within AI-generated results, rapidly outperforming traditional SEO methods in delivering measurable results.Finally, Max outlines actionable GEO strategies, including creating fresh, highly-contextual content designed specifically for AI platforms, proactively managing brand mentions across platforms like Reddit and Quora, and leveraging real-time data insights to adapt content rapidly for AI queries. He stresses the importance of integrating AI-driven analytics to monitor brand sentiment, continually updating content to align with evolving AI models, and partnering closely with platforms like Amazon Rufus and Walmart’s Sparky to maximize visibility and engagement in the emerging AI-driven search landscape.This podcast is brought to you by ⁠⁠⁠⁠Azoma⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  17. 64

    How You Can Implement Amazon’s Best-Kept Corporate Innovation Secret: The PRFAQ Framework, with Marcelo Calbucci

    Marcelo Calbucci is an entrepreneur, technologist, innovator, and author of the PR FAQ Framework with over twenty five years of experience in the tech industry. He has held key roles at Microsoft and Amazon and has founded and led startups in both Seattle and London. On this episode of the New Frontier, Marcello unpacks the powerful “Press Release and Frequently Asked Questions” (PRFAQ) framework—a cornerstone of Amazon’s culture of innovation. He explains how this six-page document helps teams envision a future product or service by crafting a hypothetical launch announcement and anticipating critical questions before any development begins.Marcello shares how the PRFAQ process goes far beyond marketing: it’s a strategic tool that drives clarity, alignment, and debate across functions—from hardware to AI to marketing—ensuring teams are truly working backwards from the customer. He highlights how iconic Amazon products like Alexa and AWS began as PR FAQs and why startups, despite their fast-moving environments, can benefit immensely by slowing down to align on a shared vision before executing.The conversation also explores how AI and large language models fit into this process. While AI excels at research and editing, Marcello cautions against relying on it to write strategy documents that require deep critical thinking. Instead, he suggests using the PR FAQ as context to guide AI outputs more effectively. To learn more about applying this framework in any business or creative endeavor, Marcello invites listeners to explore his book and free resources online.This podcast is brought to you by ⁠⁠⁠Azoma⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  18. 63

    How to Leverage AI Automation for Your Business with the Legendary Anthony Lee

    In this episode of The New Frontier, the hosts sit down with Anthony Lee, founder of AI Plus Automation and a respected voice in the Amazon and e-commerce space. Anthony shares his journey from mastering the Amazon ranking algorithm to becoming a pioneer in AI-driven process automation. He explains how his passion for building elaborate ManyChat bots evolved into creating sophisticated workflows that now power content generation, lead management, and business operations for e-commerce brands and agencies.Anthony discusses how tools like GPT-3 and no-code platforms like Make and n8n unlocked the ability to automate complex processes that once required entire teams. He offers practical advice for Amazon sellers and entrepreneurs looking to identify the lowest-hanging fruit for automation—like report aggregation, competitor research, and logistics—and emphasizes that AI should be treated as a software tool rather than a silver bullet that replaces human expertise.The conversation also dives into the broader implications of AI on the workforce, the evolving landscape of social media and search, and the importance of staying adaptable. Anthony shares his philosophy on learning, the skills that will be most valuable in the AI era, and insights on how business owners can audit their operations to deploy automation effectively. Whether you're an e-commerce founder, agency leader, or curious about AI’s real-world impact, this episode is packed with candid stories and actionable guidance.This podcast is brought to you by ⁠⁠Azoma⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  19. 62

    BREAKING: Walmart Launches Sparky - Here’s How to Get it to Recommend Your Products

    In this emergency episode of The New Emergency, hosts Jo and Max dive into the latest AI Engine for Brands to Optimize for: Walmart Sparky (see more). Framed similarly to Amazon's Rufus, now accounting for 14% of Amazon Searches, Sparky represents Walmart's deepening commitment to integrating AI across its entire value chain. The duo discuss the broader implications of Sparky’s launch alongside Walmart’s merchant-facing AI tool, Wally, signaling a strategic push to embed AI in both consumer and backend operations. This move not only sets up a compelling rivalry with Amazon but also points to a future dominated by “agentic commerce” systems, where AI handles increasingly complex retail tasks.The hosts explore how Sparky differs from Rufus—most notably in its architecture. While Rufus relies on a single large language model, Sparky is powered by a network of specialized micro-agents trained on distinct retail functions. This modular setup is theorized to offer more accurate, task-specific responses, potentially outperforming general-purpose bots like Rufus. They also touch on broader workforce implications, noting how AI-driven efficiency gains at companies like Walmart and Amazon are already leading to significant job cuts and shifts in the traditional corporate employment contract.Finally, Jo and Max cover Generative Engine Optimization (GEO) tips specifically for Walmart Sparky (read our full analysis here). Drawing from Walmart’s own research papers, they outline five key AI Answer Engine Optimization (AEO) strategies: using semantic and contextual product language, emphasizing customer problem-solving in descriptions, tailoring content to specific audiences and scenarios, and ensuring backend attribute data is robust and detailed. The episode wraps with a strong message—AI is no longer a future trend; it’s shaping commerce today, and adapting to it is essential for staying competitive.This podcast is brought to you by ⁠Azoma⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  20. 61

    Bootstrapping an Amazon Agency & 3PL to +50 Amazon Experts and three Warehouses with Stephen Harris

    In this episode of The New Frontier, Max welcomes long-time friend and ex-Amazon colleague Stephen Harris, founder of Situna, a global Amazon agency and 3PL powerhouse. Steven shares his inspiring entrepreneurial journey—from selling cufflinks in his spare time, to working at Amazon, to launching a Private Label Amazon Brand and eventually making a seven-figure exit. Steven offers a candid look at his transition from Amazon employee to full-time entrepreneur, discussing the mindset shift, the calculated risks he took. He dives deep into the mechanics of successfully exiting Amazon brands—emphasizing that simplicity, strong operations, and clean financials outweigh grand visions of untapped opportunities. The conversation also covers how Situna differentiates itself in an increasingly commoditized Amazon agency space—through a robust 3PL arm, operational excellence, and a firm grip on profitability. Steven shares lessons on creating effective culture, integrating AI into agency workflows, and how partnerships, referrals, and maintaining a service-oriented ethos continue to drive growth. This episode is a must-listen for anyone looking to build, scale, or sell in the e-commerce and Amazon ecosystem.This podcast is brought to you by Azoma⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  21. 60

    How to Launch an AI Startup, Get Funding and Disrupt an Industry with Max Sinclair

    Max Sinclair sits down with Simon Cockram to reflect on his biggest learnings as a Founder from his three years building Azoma (previously Ecomtent) thus far, in a must-listen episode for prospective tech founders. Max starts by emphasising the importance of having a distinct edge and a counterintuitive belief when launching a venture. He walks through the ideation process learned at Entrepreneur First, and the power of leveraging inflection such as a rapidly changing technological or regulatory landscape. Max then dives into the intricacies of validating ideas quickly through MVPs, and how he raised early capital through angels and accelerator programs like Techstars. He shares tactical strategies around storytelling, customer validation, and go-to-market strategies. The episode closes with a thought-provoking discussion on the future of AI, its potential impact on education, employment, and governance. Max offers both optimism about AI’s role in democratizing entrepreneurship and learning, and caution around data centralization and ethical risks. From startup hustle to global implications, this is a must-listen for anyone curious about how AI is reshaping business and society.This podcast is brought to you by ⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠Azoma⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  22. 59

    Amazon Ranking, Relevance and Search- Find-Buy In 2025 With Alina Vlaic

    In this episode of New Frontier, Jo Lambadjieva hosts Alina Vlaic, a Romanian entrepreneur and founder of aRank, which has facilitated over 6,000 Amazon product launches. Alina shares how her failed private label baby product unexpectedly led to creating her successful agency. She explains that Amazon's ranking algorithm has evolved dramatically since 2017, shifting from simple giveaway strategies to a complex system focused on "relevance" where listings must align perfectly with categories and keywords.The conversation explores controversial ranking strategies like "search find buy," which Alina describes as in a "light gray area" of Amazon's terms of service but still effective when done properly. They discuss Amazon's AI assistant Rufus, with Alina suggesting sellers shouldn't overreact to the hype as traditional keyword searching still dominates. Alina also introduces her company PressX, which connects brands with high-authority publishers to generate authentic articles that provide both social proof and valuable external traffic to Amazon listings.This podcast is brought to you by Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠Azoma⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  23. 58

    The 'IDEA' Strategic Brand Framework with Trevor Bradford

    Announcement: Ecomtent have just launched a Freemium version, check it out hereIn this episode of The New Frontier, Max and Jo welcome brand strategist and author Trevor Bradford to celebrate the launch of his new book, What Captures the Heart Goes in the Cart (learn more). Trevor has 35 years of experience in branding as an agency owner, is a mentor in the Titan Network, and owns his own 6 figure brand. Trevor introduces listeners to his IDEA framework—Insight, Distinctiveness, Empathy, and Authenticity—which underpins his approach to branding. He details how this methodology, combined with a revamped "Avatar 2.0" customer profiling tool, helps sellers understand and connect with their customers on a deeper emotional level. By anchoring branding in real buyer intent and emotional triggers rather than traditional demographics, Trevor aims to foster genuine trust and loyalty. He also discusses the importance of consistent brand voice across platforms and the power of personalization, citing Trinny London's success as a model of customer-centric innovation.The conversation closes with a compelling discussion on the implications of AI in e-commerce. Trevor emphasizes the need for authenticity and humanity in AI-generated content to maintain customer trust. He advocates for sellers to build personal brands and multi-channel strategies to avoid over-reliance on platforms like Amazon. The episode wraps up with Trevor providing details on where to purchase his book and how sellers can reach out for brand consultations. This episode is a masterclass in aligning brand strategy with customer psychology in the age of AI.This podcast is brought to you by ⁠⁠⁠⁠Azoma⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  24. 57

    How to use AI-Generated UGC for sustainable brand growth with Leo Sgovio

    In this episode of New Frontier, Jo Lambadjieva hosts Leo Sgovio, a seven-figure Amazon seller and AI expert who first caught her attention when he won the Billion Dollar Seller Summit 2022 competition. Leo shares his journey from accidentally landing in Canada at age 23 to working for a large travel company, where he developed deep expertise in digital marketing, SEO, web analytics, and conversion optimization before transitioning to Amazon selling.The conversation explores how the Amazon selling mindset is shifting from tactical "hacks" toward traditional marketing fundamentals. Leo discusses how search is evolving with AI-powered tools like Google's AI snippets, perplexity, and ChatGPT, emphasizing the importance of optimizing content for easy retrieval by AI systems while avoiding AI-generated content that contains hidden watermarks that search engines can detect.Leo also details his innovative approach to AI-generated UGC (User Generated Content) through his company Splice.io, which helps brands connect with affiliates and influencers. Rather than creating entirely AI-generated people, his approach involves collecting authentic customer videos and then using AI to multiply this content for various marketing purposes.This podcast is brought to you by ⁠⁠⁠Azoma⁠⁠⁠, ⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  25. 56

    Answer Engine Optimization (AEO) on Amazon: Max Sinclair on optimizing for Rufus & COSMO

    In this episode Max Sinclair dives into the rapidly evolving world of AI-driven commerce. The discussion kicks off with a deep dive into GEO, or Generative Engine Optimization, a fresh paradigm that parallels SEO but targets visibility within AI platforms like Amazon’s Rufus, ChatGPT, and Google’s Gemini. Max shares how AI tools are fundamentally reshaping customer discovery, revealing just how pervasive AI has become in the modern shopping experience—especially on platforms like Amazon, where Rufus now influences up to 14% of all searches.Max unpacks the technological leap from traditional algorithms to large language models, detailing how tools like COSMO and Rufus are trained to understand not just keywords, but context, audience, and purpose. He outlines actionable strategies for sellers to optimize their listings both visually and textually—incorporating seasonality, event-based relevance, and customer use cases—to thrive in AI-powered search environments. Listeners also get a glimpse into how tools like Ecomtent help brands stay ahead with continuous listing optimization and trend tracking across generative platforms.Looking ahead, Max shares his predictions for the AI-driven future of e-commerce: more voice-based, personalized shopping journeys and lower barriers for entrepreneurs to launch their own ventures with AI-powered efficiency. While excited about the opportunities, he also raises critical concerns about global job displacement and digital inequality. This episode is a must-listen for sellers eager to stay competitive in the age of AI.This podcast is brought to you by ⁠⁠Azoma⁠⁠, ⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  26. 55

    From Prompt to Product Page: ChatGPT 4o's Image Generation & Genspark Breakthroughs with Sim Mahon

    In this special edition of The New Frontier, hosts Max and Jo dive into the breakthrough developments in ChatGPT-4o’s image generation capabilities, joined by Sim, who operates an eight-figure business across 11 private-label Amazon brands. The conversation unpacks how OpenAI’s new image model has evolved from the cartoonish limitations of DALL·E 3 into photorealistic rendering that rivals — and often exceeds — traditional tools like MidJourney. Sim and Jo discuss the implications of this for eCommerce, from generating A+ content to ad creatives, and discuss whether AI imagery is finally good enough for high-end brand builders.Sim offers a behind-the-scenes look at how his business is integrating AI into its creative process. While main images still require human polish, secondary images and A+ content are now largely AI-generated — eliminating the need for stock photography and streamlining the workflow. Sim emphasizes the importance of human-AI collaboration, where designers use AI-generated mockups as a starting point, then enhance them for marketplace readiness. He also breaks down the operational flow from creative briefs to execution, and how this hybrid approach is accelerating their output across the board.The episode also spotlights an exciting emerging tool: Genspark. Sim and Max dive into how Genspark’s super-agent capabilities outpace alternatives like Manus and even Deep Research, delivering high-quality results in a fraction of the time. With a single prompt, Sim was able to generate a fully designed, visually polished seasonal calendar for pest control — complete with month-by-month breakdowns and localized data (see here). From analyzing Amazon SERPs to estimating product formulations and revenue, Genspark is proving to be a powerhouse for data-driven decisions. Sim praises its speed, depth, and cost-effectiveness — describing it as a mind-blowing advancement that’s reshaping how top-tier sellers approach research and strategy.This podcast is brought to you by ⁠Azoma⁠, ⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  27. 54

    How to Build Effective Teams in an AI Workforce, with Shannon Curley

    In this episode of The New Frontier, Max and Jo reunite after a busy conference season, to welcome Shannon Curley, a seasoned marketing leader with deep expertise in brand storytelling, content strategy, and audience engagement—most recently the Director of Marketing at Carbon6, which was acquired for $210 million.The conversation dives deep into the future of building effective teams in an AI-powered workforce. Shannon challenges the idea that teams must justify human roles by first proving AI can't do the job, instead flipping the script to focus on how humans can add more value. She emphasizes AI as a collaborative tool—an "intern" of sorts—not a replacement. Drawing from her leadership experience, she shares how to encourage AI adoption, train creative teams, and maintain morale, especially in the face of automation anxiety. They explore the balance between efficiency and creativity, how AI agents can support (but not supplant) team culture, and the importance of retaining human oversight and strategic thinking.Shannon also addresses the broader implications of AI on workforce dynamics, particularly its potential impact on junior roles and hiring practices. She advocates for skill-based recruitment over traditional role-based models and underscores the need for hiring managers to rethink what qualifies as relevant experience in an AI-enhanced workplace. From upskilling strategies and agent integration to preserving creativity in content work, Shannon offers a clear-eyed yet optimistic vision for how organizations can thoughtfully and responsibly build the teams of tomorrow.This podcast is brought to you by ⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  28. 53

    Maximizing Amazon Profits by Understanding your Buyers and ‘Deserved Ranking’ with Ben Webber

    In this episode of The New Frontier, Jo takes a deep dive with veteran Amazon Seller Ben Webber, who has built and scaled an incredible nine brands to eight figures. The conversation centers around Ben's recent presentation on "deserved ranking" — a concept focused on how products naturally position within Amazon’s search results based on value, not just aggressive advertising. Ben breaks down how understanding buyer intent and nuanced positioning within sub-niches can unlock major profit potential, offering real-world examples like rebranding compostable bowls for feeding stray cats.Ben also shares his evolution from arbitrage hustler to building a systematized, scalable business, including the importance of working closely with manufacturers and hiring full-time VAs to build a loyal and process-driven remote team. He highlights how the ability to delegate, standardize, and focus on "good enough" execution was key to scaling multiple brands successfully. From building strong supplier relationships to encouraging innovation within his team, Ben offers a wealth of operational wisdom for sellers aiming to grow beyond the solopreneur stage.The conversation wraps with a forward-looking take on AI’s expanding role in e-commerce. Ben shares how he’s using custom GPTs, AI schedulers, and semantic SEO tools to automate and scale smarter — while also exploring underutilized strategies like buying underperforming patents. With insights into Amazon’s future under Rufus and a potential case study brand launch on the horizon, this episode is a must-listen for any Amazon seller serious about strategic growth and adaptation in a fast-changing marketplace.This podcast is brought to you by ⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  29. 52

    Decoding Amazon's Playbook: A Former 10-year Executive, Andrea Leigh's, Guide to Winning on the Platform

    In this episode of The New Frontier, Max welcomes Andrea Leigh, an e-commerce expert with over 20 years of experience, including a decade as a senior executive at Amazon. Andrea dives deep into the key factors that determine success for brands on Amazon, emphasizing agility, curiosity, and data-driven decision-making. She explains how Amazon's self-service, algorithm-driven marketplace requires brands to be nimble, analytical, and focused on foundational elements like inventory management and profitability before exploring advanced strategies like AI-driven content optimization.The conversation shifts to the rapidly evolving landscape of AI in retail and how brands must adapt to the rise of AI-powered search and personalization. Andrea discusses the increasing role of tools like Amazon’s Rufus and external AI-driven shopping assistants, which are reshaping the way consumers discover and purchase products. She highlights the importance of optimizing for AI by leveraging strong product content, robust direct-to-consumer websites, and an evolving approach to retail media strategies. The discussion also touches on Amazon's challenge of balancing its lucrative ad business with the inevitable shift toward AI-driven shopping experiences.Andrea then shares fascinating stories from her early days at Amazon, painting a picture of its scrappy, high-growth culture in the mid-2000s. From working on the first automated price-matching system to launching Amazon’s grocery category and navigating private-label missteps, she provides a behind-the-scenes look at how the company scaled into a retail giant. Wrapping up, she reflects on Amazon’s winning formula—an unwavering commitment to experimentation and a culture that embraces failure as a learning opportunity. Whether you're a brand looking to stay ahead in e-commerce or just a fan of Amazon’s growth story, this episode is packed with insights and insider stories.This podcast is brought to you by ⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  30. 51

    Generative Engine Optimization: Getting your Brand mentioned by ChatGPT, with Max Sinclair

    In this episode, Max takes a turn in the hot seat to discuss the rapidly evolving landscape of Generative Engine Optimization (GEO) and its impact on search and shopping behaviors. With 60% of U.S. adults using AI chatbots in the past 30 days and ChatGPT receiving a billion messages daily, brands need to rethink their digital strategies. Max highlights how search queries are becoming longer and more intent-driven, shifting how consumers find products and information. He emphasizes that optimizing for AI-driven search engines like ChatGPT, Perplexity, and Amazon's Rufus is not just an extension of SEO but a new marketing channel that requires a strategic, high-level approach.As AI-powered search engines gain traction, brands must adapt their content strategies to match the way these models process and present information. Max explains that traditional keyword stuffing is no longer effective, and instead, context, visuals, and relevance to consumer intent are now key ranking factors. He shares insights from Amazon's science papers, which detail the importance of event relevance, target audience, and product context in product listings. He also highlights strategies for improving visibility on ChatGPT, such as leveraging authoritative sources and creating custom GPTs to enhance brand presence.Max stresses that GEO presents a major opportunity for early adopters, much like SEO did in the early 2000s. Companies that invest in AI-driven optimization now can gain a competitive edge as these technologies become mainstream. He encourages senior leadership to recognize GEO as a fundamental shift in digital marketing and to allocate resources accordingly. Wrapping up, he shares valuable resources, including his blog on GEO trends and insights, to help brands stay ahead in this fast-moving landscape.This podcast is brought to you by Azoma, ⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  31. 50

    A9 Organic Ranking Factors on Amazon in 2025 with Brian Johnson

    Get 20% ASGTG tickets in New York on March 20th with Code "MaxSinclair20off":https://www.eventbrite.com/e/asgtg-e-commerce-amazon-sellers-event-11th-annual-ed-rosenberg-conference-tickets-1062916344399?discount=MaxSinclair20offIn this episode, Jo and Max welcome Brian R. Johnson, a veteran e-commerce strategist with over 17 years of experience and more than $3.5 billion in Amazon brand sales. Brian dives deep into the intricacies of Amazon’s A9 algorithm, breaking down its core ranking factors into three categories: content, velocity, and conversion. He shares insights from analyzing millions of data points, revealing how product titles, unit velocity, and conversion rates play crucial roles in organic ranking. The discussion also touches on surprising ranking factors, such as the small business badge and multi-channel sales influence.The conversation shifts to Amazon’s evolving search landscape, particularly with the introduction of AI-powered tools like COSMO and Rufus. Brian explains how COSMO's image-to-text capabilities may impact how Amazon perceives product images and rankings, while Rufus introduces a more conversational and personalized search experience. They also explore the impact of dynamic titles and AI-generated shopping pages, discussing the implications for organic rankings and the challenges these changes pose for sellers trying to optimize their listings.To wrap up, Brian provides actionable advice on new product launches, emphasizing the importance of identifying weak points in competitors’ listings to gain a strategic advantage. This podcast is brought to you by ⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  32. 49

    Inside Thrasio & SellerX: The Rise and Fall of the Amazon Aggregator with Senior Leader Alexander Swade

    In this episode of New Frontier, Jo welcomes Alexander Swade, a seasoned Amazon advertising expert with senior leadership experience at Thrasio, SellerX, and My Real Profit. Alexander shares his journey from Google Ads to leading large-scale advertising operations at Thrasio, one of the biggest Amazon aggregators. He discusses how he built high-performing teams, developed strategic automation tools, and optimized advertising for over 80 brands across multiple global markets. His approach focused on analytics, large-scale data processing, and automation to streamline advertising efficiency at scale.The conversation dives into the challenges of managing such a vast portfolio, the complexities of Amazon advertising, and the impact of external traffic sources like influencers and TikTok on brand growth. Alexander explains the need for customized approaches rather than a one-size-fits-all aggregation model, shedding light on the evolving landscape of Amazon aggregators. He also shares insights into working with Amazon directly, gaining access to exclusive data, and the role of AI in automating creatives, bids, and campaign management.Looking ahead, Alexander provides his take on the future of Amazon aggregators, predicting further consolidation, shifts toward niche-focused acquisitions, and challenges in maintaining profitability. He discusses why the original aggregation model—buying diverse brands and standardizing operations—has struggled and how a more tailored approach may be necessary for long-term success. With rising costs, increased competition, and evolving Amazon policies, he explores what’s next for aggregators and large-scale Amazon sellers in the coming years.This podcast is brought to you by ⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  33. 48

    Adam Heist on Surviving & Thriving on Amazon FBA in 2025 (with Trump Tariffs, Tiktok Ban & RUFUS / COSMO)

    Jo and Max welcome Adam Runquist, better known asAdam Heist, a seasoned e-commerce entrepreneur and Amazon FBA YouTube educator with 25k subscribers.Adam shares his journey from a structured corporate career to selling on Amazon, detailing his pivotal moment of realization that pushed him to leave the corporate world. He discusses the strategic moves that helped him scale and exit multiple businesses, emphasizing the importance of balancing risk with careful planning.The conversation then dives into the evolving landscape of Amazon, from its early Wild West days to its current state of professionalization. Adam breaks down the impact of logistics constraints, rising operational costs, and the necessity of brand differentiation in an increasingly competitive space.He also shares insights on major industry topics in 2025 like the Trump tariffs, the future of TikTok, Amazon’s AI-powered shopping assistant, RUFUS and new back-end algorithm COSMO. With an in-depth look at how Amazon’s algorithmic changes will affect sellers, he stresses the growing importance of adaptability and understanding the nuances of customer targeting.Wrapping up, Adam reflects on his minimalist lifestyle and what truly brings him fulfillment, from creative pursuits like playing music to traveling and meaningful conversations. He discusses his current projects, including his own private label brands, consulting for a nine-figure seller and continuing his YouTube content.This episode offers a blend of e-commerce strategy, personal growth insights, and industry predictions—perfect for entrepreneurs navigating the shifting world of online business.This podcast is brought to you by Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  34. 47

    How to Start, Scale and Sell a Software Business with Rael Cline

    In the 50th episode of The New Frontier, we welcome, Rael Cline, a seasoned entrepreneur who transitioned from private equity to building and selling multiple companies, including Nozzle. Rael shares his journey from founding Nozzle, reflecting on the challenges and lessons learned along the way. The conversation touches on the importance of customer discovery, strategic hiring, and the evolving role of AI in software businesses.Rael dives deep into the ideation process behind Nozzle, explaining how he identified a gap in Amazon's data ecosystem and built a solution to provide brands with customer lifetime value (LTV) insights. He discusses the early struggles of convincing brands to adopt new metrics, the power of proprietary data for retention and marketing, and the shift from direct-to-consumer brands to larger enterprise clients. The episode also explores the challenges of raising venture capital, managing platform dependencies on Amazon, and scaling a SaaS business in a rapidly evolving market. Rael also reflects on Nozzle’s acquisition by Optimizon and the integration process within a larger agency. At the end of the episode Rael and Max reflect on why now is the best time ever to build a software start up thanks to AI. This podcast is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  35. 46

    Generative Engine Optimization - ChatGPT Search & Google AI Overviews, with Tim Cameron-Kitchen

    In this episode of The New Frontier, Max is joined by Tim Cameron-Kitchen, (youtube) founder of Exposure Ninja, a leading digital marketing agency pioneering in Generative Engine Optimization (GEO). Exposure Ninja was among the first to explore ranking strategies for Google's AI overviews and how businesses can adapt to ensure visibility in AI-powered search experiences.Tim explains how search behavior is shifting, citing statistics like ChatGPT reaching 300 million weekly active users by December 2024 and Google’s first-ever decline in UK user numbers, signaling a shift away from traditional search engines. He emphasizes that AI search tools like ChatGPT, Perplexity, and Google’s AI Overviews are increasingly replacing Google searches, making it crucial for businesses to optimize for these new platforms.Key strategies for Generative Engine Optimization discussed by Tim & Max include crafting concise answers, leveraging third-party content, publishing original data, and engaging in digital PR to secure mentions on authoritative sites. Tim also emphasizes the importance of structuring content for AI readability and ensuring key brand messages are embedded across the web.The conversation wraps up with insights on how businesses can track and improve their presence in AI search results, including testing AI-generated responses about their brand and creating custom GPTs to enhance visibility. Tim underscores the need for agility in the shifting search landscape, advising companies to stay proactive in adapting their content strategies. This podcast is brought to you by Azoma, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  36. 45

    Scaling a D2C Brand to $50M: Ruroc's growth and hostile Investor takeover

    In this blockbuster episode of The New Frontier, we dive into the story of Daniel Rees, the founder of Ruroc, a direct-to-consumer ski helmet company that achieved explosive growth but faced devastating setbacks after bringing venture capital investors on board. Ruroc was propelled by bold marketing and customer-centric innovation. Daniel’s decision to expand into motorcycle helmets through crowdfunding success attracted VC interest, culminating in a £3 million investment. However, the deal gave investors significant control over key decisions, setting the stage for future challenges. After scaling Ruroc to $50 million ARR, Daniel received two transformative acquisition offers, including a £70 million bid that would have provided life-changing wealth for him and his family. Despite these compelling offers, his VC partner vetoed both deals, chasing a higher valuation of £120-£150 million. Meanwhile, operational challenges mounted, from quality control issues in China to the Suez Canal blockage and pandemic-related disruptions. These setbacks strained Ruroc’s cash flow, putting Daniel in impossible situations. Ultimately, Daniel stepped away from the company he built. Under VC control, Ruroc’s revenues plummeted to $10 million. This episode serves as a powerful lesson for founders about the risks of equity financing, the importance of retaining control, and the high stakes of aligning long-term vision with investor priorities. It’s a must-listen for entrepreneurs navigating the complex world of scaling a startup with outside capital. This podcast is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Connect with us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  37. 44

    RUFUS: The Blueprint behind Amazon's Patent, with Danny McMillan, Oana Padurariu and Andrew Bell

    Friends of the show Danny McMillan, Oana Padurariu and Andrew Bell join Jo and Max to discuss their findings from their research on the RUFUS Patent (i.e. The Blueprint); in what is prehaps the most indepth and science-backed discussion on RUFUS anywhere on the internet. Amazon’s personal shopping assistant, RUFUS, revolutionizes product recommendations by combining advanced semantic understanding with dynamic adaptability. Unlike traditional keyword-matching systems, RUFUS focuses on grasping the deeper context of customer queries. Using techniques like noun phrase analysis and inference optimization, it connects shopper intent with the most relevant products—even if the connection isn't explicitly stated. Its real-time learning capabilities continuously refine recommendations based on user interactions and behavioral data, ensuring a personalized and intuitive shopping experience.To Optimize for RUFUS, the team recommends:- Noun Phrase Optimization (NPO): Use detailed noun phrases and incorporate features, materials, and benefits.- Q&A Enhancement: Provide natural, conversational responses to FAQs.- Semantic Content Building: Focus on relevant contexts and usage scenarios.- Inference Optimization (IO): Map product attributes to inferred benefits.- Integrate Text on Visuals: Align descriptive labels with key product features.- Use Ecomtent!: Ecomtent's tool helps Amazon sellers optimize for AI-powered search with precision and at scale.

  38. 43

    Using AI for Business Productivity in 2025 with Ritu Java

    Jo and Max kick-off 2025 with a deep dive into the transformative power of AI in e-commerce, featuring Ritu, CEO of PPC Ninja, international speaker, and thought leader in the Amazon Community. Ritu discusses how in 2025, AI tools are reshaping productivity and decision-making for businesses. From automating repetitive tasks using Google Apps Script to leveraging AI-powered decision support tools like ChatGPT and Claude, Ritu explains how her team integrates AI without the need for software engineers, empowering data-driven operations in innovative ways. The conversation shifts to Ritu’s 2025 predictions for AI's role in e-commerce. She highlights how tools like Amazon’s AI assistant, Rufus, will revolutionize search, predicting it will drive over 25% of Amazon queries. She also emphasizes the growing importance of audience-driven visuals and hyper-personalized customer experiences to stand out in a saturated market, using tools like Ecomtent. The episode wraps up with Ritu’s actionable advice for e-commerce sellers: invest in automation, harness AI for creative and operational efficiency, and prioritize building customer-focused brands to navigate an AI-driven landscape. Whether you’re scaling an Amazon business or exploring new e-commerce opportunities, this episode is a must-listen for staying ahead in 2025. Happy New Year from the New Frontier team! This podcast is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Connect with us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  39. 42

    2025 AI Predictions

    In this exciting finale for the year, hosts Max and Jo dive into their bold predictions for 2025, focusing on the ever-evolving impact of AI on our personal and professional lives. Among their forecasts, they predict that by 2025, AI agents could outnumber humans in many industries, transforming tasks like legal, accounting, and sales. Jo builds on this idea, envisioning the rise of hyper-personalized AI assistants that know users intimately, creating a deeper emotional bond between humans and machines while revolutionizing decision-making across work and personal domains. The discussion broadens to include wilder possibilites such as AI-powered dream manipulation, translations for pets, and advancements in qualitative data analysis. The episode concludes with insights on the future of search and stock market trends, with Jo forecasting challenges for Google as conversational AI and voice-based interactions gain dominance. Max shares his bullish outlook on companies that he believes will have a pivotal role in the Agentic AI revolution. Happy New Year from the New Frontier team! This podcast is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Connect with us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  40. 41

    2024 AI 'Wrapped': Reviewing the biggest AI launches of the year

    In this listener-favourite format, Max and Jo review and reflect on the biggest AI launches in 2024. 2024 was a massive year of AI innovation across the board, with companies raising a staggering $38 billion in funding. OpenAI led the charge with its revolutionary o1 model, designed to “think before it acts” through chain-of-thought reasoning. Unlike traditional generative AI, o1 tackles multi-step, complex problems with human-like accuracy, excelling in benchmarks like the International Mathematics Olympiad and GPQA. This breakthrough signals the dawn of agentic AI systems, paving the way for billions of autonomous agents in ecommerce, personal productivity, and specialized roles like software engineers or lawyers. Anthropic expanded its Claude lineup with Haiku, Sonnet, and Opus models, each tailored for speed, balance, and advanced reasoning, respectively. The launch of Claude Artifacts and Projects introduced a collaborative digital workspace, while Anthropic Agents enabled AI systems to operate computers autonomously, revolutionizing automation workflows. Google’s NotebookLM, powered by Gemini 1.5, emerged as a standout productivity tool, capable of summarizing and connecting insights across diverse content formats. Its Audio Overview feature further elevated learning by transforming materials into engaging, on-the-go discussions. Tech giants Amazon and Walmart also made strides in AI-powered retail. Amazon's Rufus, a personal shopping assistant, streamlined product recommendations and price tracking, while Walmart unveiled Wallaby, a sophisticated AI model leveraging decades of customer data to enhance online and in-store shopping. Meanwhile, OpenAI’s SearchGPT brought a new AI-driven search experience, Voice introduced natural speech synthesis, and SORA redefined video creation with AI-generated clips. Together, these innovations mark a transformative year for AI, reshaping industries and everyday experiences alike. This podcast is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Connect with us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  41. 40

    Founding Ecomtent: Max Sinclair's Story behind the Start-up Success

    In this special episode, Max, Founder and CEO of Ecomtent, takes his turn in the hot seat. Ecomtent is a generative AI tool that helps Amazon sellers optimize their product listings by generating visual and written assets. Max shares insights from his time at Amazon, where he worked in strategic roles spanning account management and global program launches. Drawing from his experience with top brands and emerging innovators, Max discusses what separates successful sellers from those struggling to adapt to the competitive e-commerce landscape.Max then provides a deep dive into Ecomtent's journey from inception to becoming a transformative tool in e-commerce. From its early focus on image generation to its evolution into an all-encompassing content optimization platform, Ecomtent harnesses the power of AI to enhance discoverability, conversions, and efficiency for sellers. With a focus on adapting to Amazon's emerging AI search capabilities, such as Rufus, Max explains how Ecomtent helps brands stay ahead in the shifting landscape of personalized, conversational search experiences.The conversation concludes with a broader look at the future of AI in e-commerce and beyond. Max envisions a world where AI agents become an integral part of daily life and business operations, driving unparalleled efficiency and personalization. He also shares insights into building and scaling Ecomtent, offering advice for aspiring founders navigating the VC landscape.This podcast is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  42. 39

    AI Governance & Regulation with Zahra Shah

    Max welcomes Zahra Shah, a renowned expert in AI and Frontier Technologies, to discuss the rapidly evolving landscape of artificial intelligence, its governance, and its societal implications. Zahra, who has advised at the House of Lords and serves on various technology panels, shares insights on the UK's principles-based approach to AI regulation and compares it with the EU's risk-based model and the US's minimal regulation stance. They explore how balanced, innovation-friendly regulation could position the UK as a global leader in ethical AI development while addressing public trust and transparency concerns. The conversation dives deep into the challenges and opportunities of generative AI and its impact across industries. Zahara outlines the risks for organizations and individuals, emphasizing the importance of compliance, data privacy, and the role of human oversight in deploying AI systems. They also discuss the potential of AI to augment productivity and innovation in sectors like e-commerce, HR, and customer service, while highlighting the need for tailored solutions to meet diverse business needs. Looking ahead, the episode considers the transformative potential of agentic AI, touching on its implications for jobs, societal structures, and global power dynamics. Zahra and Max discuss the importance of decentralizing AI systems within government to prevent overreach and ensuring that regulation fosters democracy and public good. This podcast is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Connect with us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  43. 38

    The Honeymoon Period: Debunking Amazon's Algorithm's myths with Oana Padurariu

    In this episode of New Frontier, Max and Joe dive into the ever-evolving world of Amazon with guest Oana, a leading expert in advertising and SEO. Oana sheds light on her groundbreaking research debunking the long-held "honeymoon period" myth for product launches on Amazon. Drawing from in-depth analysis of Amazon patents and scientific papers, she explains how the platform’s algorithm has shifted to prioritize personalized, data-driven ranking updates in near real-time. The conversation also explores practical advice for Amazon sellers in 2024, emphasizing the importance of meticulous preparation before launch day. Oana shares tips on balancing long-tail and high-volume keywords in PPC campaigns, utilizing backend attributes effectively, and understanding how Amazon's increasingly sophisticated algorithm impacts pricing strategies and conversions. She underscores the need for constant monitoring and adjustments during the launch phase. This podcast is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Connect with us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  44. 37

    Findings from 100 RUFUS experiments on my Product Listings: Optimizing for Amazon's new AI Search

    In this episode , Andrew Bell returns, bringing his expertise in Amazon SEO and GPT development. Andrew, a leading innovator on the GPT store and Amazon director, shares insights from his groundbreaking experiment with RUFUS, Amazon’s AI-powered shopping assistant. He discusses how Rufus integrates seamlessly into the customer journey, offering personalized recommendations and even pulling images directly from product detail pages. Andrew highlights how sellers can optimize their listings by labeling lifestyle images and ensuring product details are accurate to maximize Rufus’s effectiveness. Andrew dives deep into the mechanics of Rufus, explaining how it analyzes product information, customer reviews, and co-purchases to offer intelligent recommendations. He emphasizes the need for sellers to answer Rufus-generated customer questions directly in their listings and prepare for future AI integration by optimizing A+ content and videos. Interestingly, his findings revealed Rufus does not yet prioritize PPC ads but is highly adept at discovering relevant products, even from smaller or lesser-reviewed listings, offering a level playing field for sellers. The discussion concludes with actionable advice for brands, including focusing on highly relevant PPC campaigns, preparing for the evolution of AI search, and staying ahead of Amazon’s rapid advancements in vision-language models. This podcast is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Connect with us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  45. 36

    Jon Derkits on the best Amazon Seller Software Tools, and Amazon's recent AI announcements at Unboxed and Accelerate

    Jon Derkits is a former Amazon marketplace executive, current 8-figure Amazon seller, and Chief Commercial Officer at Color More Lines, where he provides full-service Amazon channel management for omni-channel brands. In addition, Jon authors the widely popular Best@Amazon newsletter, a weekly newsletter for the Top 1% of Amazon Sellers. Jon started his career in M&A advisory with KPMG, spending 9 years serving Fortune 1000 companies, before joining Amazon, where he served as Head of 3P Marketplace for Consumer Electronics on Amazon Canada and worked directly with the top 1% of third-party Consumer Electronics sellers. He joins Max and Jo to discuss his favourite Amazon Seller Software Tools, and his take on Amazon's latest AI Launches. This podcast is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Connect with us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  46. 35

    SearchGPT: How to optimize for ChatGPT's new search functionality

    SearchGPT is finally here. Max and Jo record a special quick episode to discuss OpenAI’s new SearchGPT feature which enables ChatGPT to retrieve relevant, real-time information from across the web. For eCommerce sellers, this innovation presents both an opportunity and a challenge: how to ensure that their content ranks well and is viewed as authoritative by this new generation of AI-driven search tools. They discuss Key Strategies for SearchGPT Optimization: 1. Content Depth & Relevance: Go beyond keywords to fully address user questions. Create rich content that provides real value and context. 2. Authority Signals: Build Brand credibility with trusted mentions, reviews, and PR. 3. E-E-A-T Standards: Prioritize experience, expertise, authority, and trustworthiness to meet AI-driven ranking criteria. 4. Quick Digestibility: Structure content with summaries, clear headers, and bullet points for easy parsing by LLMs. 5. Technical SEO & Updates: Ensure fast loading, clean structure, and regular content updates to signal relevance. Read more in our blog here. Connect with us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠

  47. 34

    AI Guided Product Research & Development with Izabella Ritz

    Jo welcomes Izabella Ritz, CEO of Ritz Momentum, to discuss the cutting edge of AI and e-commerce. A significant portion of the discussion focuses on how Isabella and her agency use AI, particularly tools like ChatGPT, to streamline product research and development. She explains how AI helps identify potential products, improve customer experiences, and optimize listings by analyzing competitor data and market trends. Isabella emphasizes the growing role of AI in Amazon's ecosystem, including its impact on product launches and customer engagement through Amazon's AI assistant, Rufus, which can directly influence sales outcomes. The episode concludes with a forward-looking discussion about the future of e-commerce and AI. Izabella highlights the necessity for sellers to adapt to AI-driven systems to stay competitive. She warns that those who ignore these technological advancements risk being left behind, while those who embrace them will have better chances of success. The conversation is packed with practical insights on using AI to gain a competitive edge in the fast-evolving Amazon marketplace. This podcast is brought to you by ⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠. Connect with us: ⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠ Join the conversation on Whatsapp: ⁠⁠⁠⁠⁠https://chat.whatsapp.com/CYcyqW2D6bBETlZSGx1zTp⁠

  48. 33

    BREAKING: Amazon Personalizing Product Titles and Descriptions [Max on Seller Sessions Rebroadcast]

    In this rebroadcast of Seller Sessions, host Danny McMillan welcomes Max Sinclair to discuss key developments from the Amazon Accelerate event and the future of AI-driven ecommerce. The conversation centers around Amazon’s new approach to product listing personalization, where AI will dynamically adjust product titles and descriptions based on customer searches. This move could disrupt traditional SEO practices, as sellers lose some control over content optimization. Max shares his experience at Accelerate, revealing a lack of coordination among Amazon teams and limited seller control over opting out of these changes. The discussion also touches on Amazon’s plans for advanced AI tools and agents, such as Project Amelia, which aims to assist sellers with business insights and customer support. Max emphasizes the rapid progress in AI capabilities, including the new GPT-4-based "o1" model, which uses reasoning for more complex tasks. This podcast is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Join the conversation on Whatsapp: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://chat.whatsapp.com/CYcyqW2D6bBETlZSGx1zTp

  49. 32

    Implementing Scalable Processes in an Ecommerce Business with Yoni Kozminski

    In this episode of The New Frontier, Jo and Max welcome Yoni Kozminski, a seasoned global digital marketing entrepreneur with over 15 years of experience working with major brands like Mercedes-Benz, MasterCard, and Sony. Yoni shares his journey, starting from his early career in launching social media strategies for big brands, to his transition into the e-commerce and Amazon space. He discusses how he helped scale an e-commerce business and built systems and processes that led to significant growth. Now, Yoni focuses on helping other companies streamline operations and hire top-level talent through his two companies, MultiplyMii and Escala.The conversation delves into the importance of building scalable processes in business, especially for e-commerce and Amazon sellers. Yoni offers actionable insights on how businesses should approach scaling, emphasizing the need for clarity in operations and the right timing for hiring. He highlights the power of process documentation and how his companies help clients design effective Standard Operating Procedures (SOPs) to drive growth. Yoni also touches on lessons learned from scaling too fast and the value of building a team that aligns with the company’s long-term goals.The episode wraps up with discussions on remote hiring, particularly in the Philippines, and how businesses can successfully onboard and manage offshore teams. Yoni explains the framework his team uses to create an engaging onboarding experience and how technology and processes can replicate the in-person experience, making remote hiring more seamless. He also offers resources for business owners looking to enhance their hiring strategies and operational processes, giving listeners valuable takeaways on scaling their businesses effectively.This podcast is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Connect with us:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join the conversation on Whatsapp: ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://chat.whatsapp.com/CYcyqW2D6bBETlZSGx1zTp

  50. 31

    Amazon Accelerate 2024: The unofficial debrief

    Following an action packed week in Seattle, Jo and Max sit down to reflect on the biggest launches announced at Amazon Accelerate 2024. And there were a lot. Amazon announced 23 AI launches, including many surprises such as; Personalised Product listings: Amazon showing each individual customer personalised titles and bullet points, completely changing the Amazon SEO game again Amelia AI: An AI-powered personal assistant for sellers. AI SeSu: an AI Seller support agent! Prime Day badges on Tiktok/Google Shopping/Shopify/Paypal Free Profitability tracker: Analyze profits from Amazon, eBay, Shopify, Walmart, and other selling channels in one place. and more! This podcast is brought to you by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ecomtent⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Amazing Wave⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Get 20% off the AmaNordic conference with the code JOLA20 Connect with us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/maxsinclair4⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/max-sinclair-ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/joannalambadjieva/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Join the conversation on Whatsapp: ⁠⁠⁠⁠⁠⁠⁠⁠https://chat.whatsapp.com/CYcyqW2D6bBETlZSGx1zTp

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ABOUT THIS SHOW

This podcast explores the fast-moving world of AI for leaders and owners of ecommerce businesses. We discuss topics such as AI Answer Engine Optimization - getting your brand mentioned by ChatGPT / Amazon Rufus. It's hosted by Jo Lambadjieva, Founder of Amazing Wave and AI Educator; and Max Sinclair, Founder of Azoma & ex-Amazonian. It is brought to you by www.azoma.ai and amazingwave.digital Connect with us:https://ecommerce-ai.beehiiv.com/https://twitter.com/maxsinclair4https://www.linkedin.com/in/max-sinclair-ai/https://www.linkedin.com/in/joannalambadjieva/

HOSTED BY

Jo and Max

CATEGORIES

Frequently Asked Questions

How many episodes does The New Frontier: The Agentic Commerce & Answer Engine Optimization podcast have?

The New Frontier: The Agentic Commerce & Answer Engine Optimization podcast currently has 50 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.

What is The New Frontier: The Agentic Commerce & Answer Engine Optimization podcast about?

This podcast explores the fast-moving world of AI for leaders and owners of ecommerce businesses. We discuss topics such as AI Answer Engine Optimization - getting your brand mentioned by ChatGPT / Amazon Rufus. It's hosted by Jo Lambadjieva, Founder of Amazing Wave and AI Educator; and Max...

How often does The New Frontier: The Agentic Commerce & Answer Engine Optimization podcast release new episodes?

The New Frontier: The Agentic Commerce & Answer Engine Optimization podcast has 50 episodes. Check the episode list to see recent publication dates and frequency.

Where can I listen to The New Frontier: The Agentic Commerce & Answer Engine Optimization podcast?

You can listen to The New Frontier: The Agentic Commerce & Answer Engine Optimization podcast on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.

Who hosts The New Frontier: The Agentic Commerce & Answer Engine Optimization podcast?

The New Frontier: The Agentic Commerce & Answer Engine Optimization podcast is created and hosted by Jo and Max.
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