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Jul 5
48m 37s

#680 - AI Toolkit for Amazon Sellers

Helium 10
About this episode

Top AI & GPT expert shares tips on ChatGPT, AI agents, Rufus, and more. Plus, exclusive access to his private Amazon seller GPTs just for Serious Sellers Podcast listeners.

 

► Instagram: instagram.com/serioussellerspodcast

► Free Amazon Seller Chrome Extension: https://h10.me/extension

► Sign Up For Helium 10: https://h10.me/signup  (Use SSP10 To Save 10% For Life)

► Learn How To Sell on Amazon: https://h10.me/ft

► Watch The Podcasts On YouTube: youtube.com/@Helium10/videos

 

Andrew Bell, a standout figure in the realm of AI and custom GPTs, kicks off our very first installment of AIM, our Monthly AI workshop on all things artificial intelligence. In this episode, Andrew opens up about his journey from the Moody Bible Institute to becoming an e-commerce maestro on platforms like Amazon. Growing up in the quirky town of Santa Claus, Indiana, and now living in Kentucky, Andrew captivates with his unique perspective, connecting the dots between local sports rivalries and the debates surrounding artificial intelligence. His pioneering work with Touch of Class and his learnings from the Freedom Ticket course by Helium 10 laid the groundwork for his success, making him a voice worth listening to in the fast-paced world of e-commerce.

 

As we engage with Andrew, we discover the fascinating world of AI-driven tools designed for Amazon listing optimization and product research. With over 350 custom GPTs under his belt, Andrew discusses the art of prompting and how robust strategies can mitigate errors. The conversation takes a turn into the challenges faced when AI relies on outdated data, such as the myths surrounding the Amazon A10 algorithm. By blending AI with reliable resources like Helium 10’s data, the episode reveals how sellers can enhance the accuracy and trust of their listings, amidst a landscape of evolving AI capabilities.

Rounding out the episode, Andrew shares strategic insights for maximizing AI in product research and listing optimization. From the intricacies of using Amazon's generative AI-powered shopping assistant Rufus to the innovative application of AI reasoning models, Andrew highlights ways to maintain accurate and engaging Amazon listings. We explore the benefits of visual label tagging and new features for price alerts, all aimed at boosting conversion rates during key sales events. Don't miss Andrew's reflections on the continued evolution of AI technology and its growing impact on both personal and professional realms.

For those eager to try out Andrew Bell’s custom GPTs firsthand, listeners of the Serious Sellers Podcast get exclusive access. While many of his 350+ custom GPTs are still gated for private workshops and Helium 10 events, Andrew makes a few powerful ones available for our audience. Go to https://h10.me/andrewbellgpt to access a curated selection, including GPTs for product research, demand validation, e-commerce script agents, and even one cleverly titled NoMDashes, designed to remove those pesky AI giveaway dashes from your copy. These GPTs aren’t available to the general public yet, so this is your chance to explore cutting-edge AI tools before they’re widely released. Just one more perk of tuning in.

 

In episode 680 of the Serious Sellers Podcast, Bradley and Andrew discuss:

  • 01:00 - Andrew Bell's Backstory
  • 04:55 - Success in Amazon Seller Optimization
  • 09:03 - Pricing Strategies Across Different Niches
  • 11:57 - Leveraging AI for Amazon Listing Optimization
  • 14:35 - Trust in AI and Misconceptions
  • 17:29 - Keyword Generation in ChatGPT
  • 20:41 - Maximizing AI for Product Research
  • 22:36 - The Future of Data Augmentation
  • 26:29 - Leveraging AI for Comprehensive Product Research
  • 34:07 - E-commerce Sellers Optimizing for AI in 2025
  • 34:19 - Amazon Listing Optimization Strategies
  • 37:51 - Visual and Textual Content for Conversions
  • 40:39 - Click Training Data and Customer Questions
  • 46:04 - Advancements in Reasoning Models and AI
  • 47:00 - Amazon Rufus and AI Reasoning Models
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