Are your Amazon images answering the wrong questions? Explore an AI listing makeover and how a second brain could connect your tools, remember your workflows, and change how your team works.
Professional product photos can look impressive while leaving shoppers’ biggest questions unanswered. In the first installment of Ecom Eats, Bradley Sutton combines food and ecommerce with two conversations about putting AI to work. From falafel and hummus in Bratislava to French pastries at a castle near Paris, this episode explores how sellers can improve their Amazon listing content and build AI workflows around their business knowledge.
First, Corina Haro of Salto Innovation explains why effective listing creative starts with understanding the customer. Drawing on experience working with more than 500 brands, she highlights common mistakes such as leading with specifications, using generic images, and presenting content without a clear sequence. Reviews and Reddit discussions help reveal the objections shoppers need answered before buying. Using an educational workbook listing as an example, she demonstrates how her StorySell system turns product information and customer insights into a creative plan, then supplies prompts for generating images in ChatGPT. Each proposed image serves a specific purpose, while A+ Content expands the story beyond the gallery.
Corina also explains why testing images in isolation can overlook how customers actually shop. A design that wins a direct comparison may attract less attention when surrounded by competing products in Amazon search results. She recommends evaluating creative within that competitive context and using customer feedback to guide decisions. Helium 10 supports her agency’s process through keyword research, search query performance analysis, competitor comparisons, and review sentiment insights. Bradley plans to share the proposed redesign with the brand, with potential implementation and a results update to follow.
The second conversation features Baldwin Thai of Signalytics, who discusses moving from individual AI tasks to connected business workflows. He describes using a “second brain” to store company procedures and knowledge that different AI agents can reference. His agency has shifted employees into new responsibilities as AI handles more listing optimization work, with human oversight checking quality. Baldwin also explores connecting multiple models to shared tools and information, helping work continue across platforms. His practical starting point is to consolidate useful AI conversations into that knowledge base each day. For sellers looking to apply these ideas, start with one repeatable process, document how it should work, and build from there.
In episode 570 of the AM/PM Podcast, Bradley, Corina, and Baldwin discuss:
- 00:00 - Introduction To Ecom Eats
- 03:34 - Corina Haro’s Amazon Creative Background
- 04:38 - Common Amazon Listing Mistakes
- 05:46 - Finding Customer Questions And Objections
- 08:04 - Auditing An Existing Workbook Listing
- 10:55 - Planning An AI Listing Makeover
- 15:28 - Testing Images Against The Competition
- 17:50 - Helium 10’s Role In Listing Research
- 19:59 - Meeting Baldwin Thai Near Paris
- 24:43 - Building AI Workflows And Expanding Team Capacity
- 30:55 - Creating A Second Brain For Your Business
- 34:30 - Connecting AI Tools And Consolidating Memory
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