The Smartest Amazon Seller

Andri Sadlak, Founder and CEO of Artan AI, joins the podcast to talk about how Amazon sellers can stay visible as AI agents start shopping for consumers. Meta's Muse signed up 10 million users in its first six weeks, and more than 25% of its weekly active users ask it shopping questions. Amazon blocked Muse from buying on its site, while Walmart partnered with Meta. Andri and Scott discuss what Amazon might do next and why sellers need to show up both on and off Amazon. Andri also shares how brands can get ready: keep product details consistent across every channel, use Search Query Performance reports and suggested listing questions to learn what shoppers ask, build for a specific use case, and earn citations from the sources AI engines trust. Episode Notes: 00:00 - Intro & Why Agentic Commerce Matters Now 01:19 - Andri's Background 02:27 - Measuring AI Traffic & ROI 03:33 - Using Amazon Data to Build Query Lists 04:52 - Keep Product Details Consistent 05:32 - Finding the Questions Shoppers Ask 07:38 - Amazon Looks Beyond Amazon 08:59 - Brand vs. Affiliate Content 09:48 - The Reddit Myth 11:09 - The Rise of Personal AI Assistants 13:11 - Meta's Muse & the Walmart Partnership 14:31 - Commission-Based Agent Revenue 15:25 - Is Amazon at Risk? 17:47 - Why Niche Brands Win 19:37 - Where Brands Should Start 21:16 - The Case for Omnichannel 21:52 - About Artan AI 23:33 - Final Thoughts: SEO Is Changing Related Post: SmartScout MCP Prompt Library How to Reach Andri: Website: andrisadlak.com | artan.ai LinkedIn: linkedin.com/in/sadlak Scott’s Links: LinkedIn: linkedin.com/in/scott-needham-a8b39813 X: @itsScottNeedham Instagram: @smartestseller YouTube: www.youtube.com/@smartestamazonseller2371 Newsletter: smartscout.com/newsletter-sign-up Blog: smartscout.com/blog

Andrew Bell, VP of Research at ReFiBuy, joins the podcast to share what it actually takes to rank #1 in Alexa for Shopping, Amazon’s AI shopping assistant, drawing on ReFiBuy’s study of 100,000 shopper prompts. Every seller wants position one, but in Amazon’s AI shopping results, “#1” works differently than it does in search. Alexa for Shopping groups products into themed “semantic shelves,” so a product can rank first on the shelf that matters most to its buyers without topping the overall answer. And with no Alexa-attributed sales reporting yet, most sellers are guessing at what moves them up. Andrew breaks down how Alexa for Shopping builds its rankings: it fans out multiple Amazon searches to pull in a pool of products, then re-ranks them based on context. That makes Amazon SEO the entry ticket, not a thing of the past. He shares the ranking factors from the study, including the 4.0-star rating floor products need to compete, why 53% of product rationales cite a specific use case, and why item name and item highlights carry so much weight in the re-ranking. He also explains how to map Search Query Performance reports to customer missions to win the right shelves, why sponsored prompt reports are the best way to measure results today, and which off-Amazon sources, from Quora to Alibaba’s Accio, show up in Alexa’s citations. Episode Notes: 00:00 - Intro & the 100K Prompt Study 01:28 - Andrew’s Background 02:27 - Why Amazon SEO Still Matters 05:14 - Alexa Usage on Shopping Holidays 06:04 - How the Study Worked 06:49 - Alexa’s Three Shopping Contexts 09:23 - What Ranking #1 Really Means 10:19 - The 4.0-Star Floor 12:40 - Be Use-Case Specific 14:35 - Item Name & Item Highlights 15:54 - Mapping Search Terms to Missions 16:34 - Are Brands Seeing Results? 18:28 - The New Item Details Field 21:04 - How Top Brands Use Alexa 23:36 - Measuring Alexa ROI 27:08 - Sponsored Prompt Reports 28:17 - ChatGPT Habits on Alexa 31:40 - Does Off-Amazon Content Help? 33:46 - Citations: Quora & Accio 35:04 - Learn More About ReFiBuy Related Post: SmartScout MCP Prompt Library How to Reach Andrew: Website: refibuy.ai LinkedIn: linkedin.com/in/andrew-bell-540403275 Scott’s Links: LinkedIn: linkedin.com/in/scott-needham-a8b39813 X: @itsScottNeedham Instagram: @smartestseller YouTube: www.youtube.com/@smartestamazonseller2371 Newsletter: smartscout.com/newsletter-sign-up Blog: smartscout.com/blog

Andrew, CEO and founder of Swapt, returns to the podcast to discuss their major pivot from review generation to solving one of e-commerce's biggest challenges: post-purchase customer retention on Amazon and TikTok Shop. Amazon is notoriously opaque, making it incredibly difficult for sellers to capture bottom-of-funnel data and build lasting direct relationships. While sellers can spend unlimited funds at the top of the funnel on ads, driving repeat purchases and increasing Customer Lifetime Value (LTV) usually requires changing customer behavior. This is a massive hurdle when shoppers prefer the convenience of native marketplaces. Andrew breaks down how Swapt utilizes strategic product inserts and single-use discount codes to capture customer emails and incentivize repurchases directly where the customer wants to buy. He shares insights on increasing Average Order Value (AOV), navigating email life cycles for Amazon-native brands, and leveraging the 4 specific levers needed to achieve product insert QR scan rates up to 35%. Episode Notes: 00:00 - Intro & The Swapt Pivot 01:56 - The Black Box: Capturing Post-Purchase Data on Amazon 05:18 - Why You Shouldn't Force Shoppers Off-Platform 07:28 - How Single-Use QR Codes Drive Direct Amazon Repurchases 08:19 - Increasing AOV with Cart-Size Specific Discounts 09:16 - Why Amazon Sellers Struggle with Customer Life Cycle Emails 10:34 - TikTok Shop: Retaining Customers on an Entertainment Platform 12:47 - Cross-Channel Purchasing Behaviors (Amazon vs. Shopify vs. TikTok) 14:51 - At What Scale Does a Retention Strategy Make Sense? 16:49 - The Necessity of Product Inserts 17:20 - 4 Levers to Hit a 35% QR Scan Rate   Related Post: Best Amazon Seller MCP Servers for Competitor Research, Seller Data, and AI Analytics   How to Reach Andrew: Website: swaptqr.com LinkedIn: linkedin.com/in/andrewsm1th Scott’s Links: LinkedIn: linkedin.com/in/scott-needham-a8b39813 X: @itsScottNeedham Instagram: @smartestseller YouTube: www.youtube.com/@smartestamazonseller2371 Newsletter: https://www.smartscout.com/newsletter-sign-up Blog: https://www.smartscout.com/blog

Jordan West, Founder of Social Commerce Club, joins Scott to explore how Amazon brands can unlock explosive growth by embracing TikTok Shop and social commerce. As traditional performance marketing faces attribution decay and rising ad costs, e-commerce brands are navigating a shifting landscape where TikTok Shop provides a closed-loop affiliate ecosystem and a massive off-platform halo effect. While entry-level sellers struggle by treating creators like ad networks or expecting instant channel profitability, established brands are leveraging coordinated "blitz" product launches, in-person creator hub days, and authentic founder involvement to drive multi-channel revenue. To build a defensible brand across Amazon and TikTok Shop, Jordan breaks down why brands must look beyond myopic channel P&Ls, how to structure high-impact creator contests, and the necessity of unscalable, human-first creator relations. Episode Notes: 00:00 - The TikTok Shop Frontier 01:15 - Jordan West’s Transition to Social Commerce 02:46 - Affiliate Win-Win: Why Retainers Are Dead 05:05 - Closed-Loop Attribution & TikTok’s Halo Effect 07:10 - Real Scale: 5x Growth & Offline Sales Impact 08:53 - Mindset Shift: Top-of-Funnel vs. Immediate Profit 12:22 - How TikTok Shop Turns Products Into Brands 13:32 - Launch Mechanics: The "Blitz" Strategy 16:43 - Creator Relations & Hosting In-Person "Hub Days" 19:58 - Authentic Founders & Cult-Leader Branding 23:38 - Leveraging Creator Events for Maximum ROI 25:33 - Structuring High-Impact Creator Contests 28:37 - The Unscalable Factor: Personal Outreaches & Voice Memos 31:20 - The Power of In-Person E-Commerce Connections 33:19 - Amazon’s New Multi-Channel Centralization Related Post: The Halo Effect Is Real, Measurable, and Immeasurable   How to Reach Jordan: Website: socialcommerceclub.com | jordanwest.ca LinkedIn: linkedin.com/in/jordan-west-marketer Scott’s Links: LinkedIn: linkedin.com/in/scott-needham-a8b39813 X: @itsScottNeedham Instagram: @smartestseller YouTube: www.youtube.com/@smartestamazonseller2371 Newsletter: https://www.smartscout.com/newsletter-sign-up Blog: https://www.smartscout.com/blog

Earl Pardo, Business Development Independent Rep @ Flat River Group, joins the podcast to explore the emerging reverse trend of Amazon sellers moving from 3P (Third-Party) back to 1P (Vendor Central / First-Party) distribution models. As independent sellers face increasing Amazon fee structures, fulfillment fee creep, storage penalties, and complex cash flow cycles, many brands are leveraging 1P distributor relationships to pull cash flow forward and offload operational headaches. While entry-level sellers struggle with unpredictable net margins and managing dozens of hidden FBA costs, established 3P brands are using 1P distributor networks like Flat River Group to gain algorithm advantages, lock in predictable payouts, and eliminate ad management and storage expenses. To build a simplified and scalable business model, Earl breaks down how 1P distributors provide access to Amazon AVS support, manage drop-shipping across 30+ e-commerce retailers, and mitigate Annual Vendor Negotiation (AVN) pressure for mid-market brands. Episode Notes: 00:00 - Intro & The 3P to 1P Shift 01:40 - Chinese Vendor Account Crackdowns 02:08 - 1P Benefits: Algorithm & Cash Flow 03:42 - Earl’s Story & Amazon Fee Creep 05:54 - Flat River Group’s $250M+ 1P Model 07:45 - Why Amazon Axed Chinese Distributors 09:20 - Amazon’s Push Toward 1P Distributors 10:24 - Maintaining Brand & Price Control 11:38 - Hands-Off Ads & Operations 12:25 - 3P vs. 1P Profit Math 16:43 - Testing 1P With a SKU Subset 17:45 - Bypassing Annual Vendor Negotiations 20:08 - Preventing Out-of-Stocks 22:36 - Shopify & 3PL Cost Savings 22:47 - What’s Next for Vendor Models   Related Post: Top 10 Largest Amazon Vendor Brands (2026 Data) How to Reach Earl: Website: flatrivergroup.com LinkedIn: linkedin.com/in/earl-pardo-0a45b931a Scott’s Links: LinkedIn: linkedin.com/in/scott-needham-a8b39813 X: @itsScottNeedham Instagram: @smartestseller YouTube: www.youtube.com/@smartestamazonseller2371 Newsletter: https://www.smartscout.com/newsletter-sign-up Blog: https://www.smartscout.com/blog

Laura Meyer, Founder and CEO of Envision Horizons, joins the podcast to explore how beauty became the #1 growth driver across Amazon, TikTok Shop, and social commerce. As consumer attention shifts toward visual education and short-form video, beauty brands are navigating a complex landscape defined by strict platform programs, affiliate marketing flywheels, and private equity pressure. While entry-level sellers struggle with margin compression and trend chasing, established brands are leveraging AI agents, Amazon Creator Connections, and LLM-driven consumer research to validate product claims and boost conversion. To build a defensible brand on Amazon and TikTok Shop, Laura breaks down the necessity of brand gating through Amazon's Premium Beauty program, managing data integrity for specific product use cases, and prioritizing high-impact conversion creative over traditional ad spend. Episode Notes: 00:00 - Introduction to Laura Meyer and Envision Horizons 01:48 - Why Beauty: High Margins, Repeat Purchases, and Consumables 02:29 - Laura’s Days at Amazon Media Group in 2015 06:09 - Gating Amazon Brands: The Premium & Indie Beauty Programs 09:26 - Private Equity's Impact on Beauty & High Growth Expectations 12:26 - The Social Selling Flywheel: 42% of Amazon Purchases Start Off-Platform 13:43 - How Envision Horizons Runs Amazon Creator Connections & Affiliates 15:32 - TikTok Shop vs. Amazon Affiliate Programs 17:31 - Product Innovation vs. Message Delivery Trends in 2026 19:37 - Mapping Product Data to Trending Keywords & FTC Compliance Risks 24:46 - How AI and LLMs (ChatGPT) Influence Consumer Brand Switching 25:42 - Can You Launch an Amazon-Native Beauty Brand From Scratch Today? 28:31 - Subcategory Breakdown: Skincare vs. Haircare vs. Color Cosmetics 30:23 - Transactional vs. Aesthetic Design: Optimizing Amazon PDP Creative 33:38 - Weekly Horizons Newsletter & How to Connect with Laura Related Post: AI Visibility for Amazon Products: Are ChatGPT and Rufus Recommending You? How to Reach Laura: Website: envisionhorizons.com Newsletter: The Weekly Horizons LinkedIn: linkedin.com/in/lauracatherinemeyer Scott’s Links: LinkedIn: linkedin.com/in/scott-needham-a8b39813 X: @itsScottNeedham Instagram: @smartestseller YouTube: www.youtube.com/@smartestamazonseller2371 Newsletter: https://www.smartscout.com/newsletter-sign-up Blog: https://www.smartscout.com/blog

Daniela from Mindful Goods joins the podcast to explore how New York State’s new AI image regulations are impacting Amazon sellers and forcing brands to adopt greater creative transparency. As consumer sensitivity to "AI slop" grows, brands are encountering false negatives where overly polished human photography is mistaken for AI, making human split-testing and data-driven creative execution essential. While nimble solo founders leverage one-click AI tools for quick design wins, established 7-to-9-figure brands are using AI strategically to scale catalog design templates across thousands of SKUs and bridge visual gaps in costly photoshoots. To maximize conversion and overcome these creative challenges, Daniela outlines the importance of single-message visual hierarchy and leveraging internal databases to pre-test Main Images and A+ Content before launching.   Episode Notes: 00:00 - Introduction to Daniela and Mindful Goods 01:02 - New York State AI Regulations & Amazon Disclaimers 03:18 - Compliance Fines & The Shift Toward Creative Transparency 04:49 - How AI Raised the Creative Baseline for Entry-Level Sellers 06:34 - Consumer Sensitivity & "Over-Perfection" False Negatives 09:06 - How Enterprise Brands Strategically Use AI vs. Solo Founders 11:59 - Scaling Massive SKU Catalogs from Months Down to Minutes 13:38 - Leveraging 1,000+ PickFu Split Tests for Creative Strategy 17:38 - Live Amazon Listing Audit: Buzzed Honey & Premium A+ Content 22:55 - The #2 Factor in Amazon Conversion 26:45 - Daniela’s Design Proof Substack & Free Split-Testing Playbooks   Related Post: AI Visibility for Amazon Products: Are ChatGPT and Rufus Recommending You? How to Reach Daniela: Substack: Design Proof Website: mindfulgoods.co LinkedIn: linkedin.com/in/dbolzmann Scott’s Links: LinkedIn: linkedin.com/in/scott-needham-a8b39813 X: @itsScottNeedham Instagram: @smartestseller YouTube: www.youtube.com/@smartestamazonseller2371 Newsletter: https://www.smartscout.com/newsletter-sign-up Blog: https://www.smartscout.com/blog

TikTok Shop does far more than generate in-app sales; it can also drive millions of impressions that boost revenue across Amazon, D2C, and physical retail. This social exposure creates real pricing power. SmartScout’s alum Michael White leveraged TikTok traction to sell his product for $65, while competitors remained stuck at $45. The data proves this spillover effect. Every million TikTok views can generate $16,000+ in off-platform Amazon revenue, with some brands earning up to $6.70 elsewhere for every dollar made on TikTok. This halo effect breaks down into three buckets: Direct (in-app sales) Indirect (immediate off-platform purchases) Untraceable (long-term brand awareness and word-of-mouth). Even major retailers such as Walmart now actively ask suppliers for their TikTok strategy because social buzz directly drives store foot traffic. Ultimately, winning brands are comfortable breaking even on TikTok Shop knowing the real margin expansion will show up on their Amazon and retail balance sheets. Episode Notes: 00:09 - The TikTok Shop Halo Effect 00:45 - The Power of Impressions 01:01 - Anecdotes from the Frontlines 02:05 - Measurable Data Points and Studies 04:13 - Categories of the Halo Effect 05:45  - The Walmart Perspective and Offline Retail Impact 06:12 - Strategic Losses and the Flywheel Effect 07:20 - Tools, Feedback, and the Road Ahead Related Post: Amazon Brands with Successful TikTok Shop Grow 5.2x faster Scott’s Links: LinkedIn: linkedin.com/in/scott-needham-a8b39813 X: @itsScottNeedham Instagram: @smartestseller YouTube: www.youtube.com/@smartestamazonseller2371 Newsletter: https://www.smartscout.com/newsletter-sign-up Blog: https://www.smartscout.com/blog

SmartScout is expanding beyond Amazon with new TikTok Shop data after six months of research and development. The new tools track TikTok Shop trends, top products, estimated sales, market share, categories, sellers, and product variants. Scott explains why TikTok Shop reminds him of Amazon 10 years ago and why social commerce is creating new opportunities for brands. The data also reveals major differences between Amazon and TikTok Shop. Brands that dominate Amazon aren't always the biggest TikTok Shop sellers, while newer brands can quickly rise through creators and social content. SmartScout has also connected TikTok Shop products to Amazon categories, allowing sellers to compare marketplace performance and drill down into specific products and variants. Scott also shares his biggest surprises, including the strength of women's apparel, the number of Chinese sellers, and how aggressively some established brands are embracing TikTok Shop. He then explores whether TikTok Shop could eventually compete with Amazon, how creators and GMV Max create a content-to-commerce flywheel, and why connecting TikTok Shop and Amazon data matters. Episode Notes: 01:40 - From Amazon to TikTok Shop 02:30 - The Evolution of Social Commerce and TikTok Shop 03:05 - Building Tools for Market Intelligence 03:45 - TikTok Shop vs. Amazon 04:30 - New Feature Launches for TikTok Shop Analysis 05:00 - Surprises and Key Learnings from the TikTok Shop Seller Map 06:30 - Pioneering Amazon-TikTok Shop Connections 08:40 - Launch Incentives and Community Feedback 09:19 - TikTok Shop’s Unique Brand Landscape 11:35 - Will TikTok Shop Beat Amazon? 13:30 - The Need for a TikTok Shop-Focused Conference 16:00 - What Sets TikTok Shop Apart? 18:20 - Future Directions and Feedback Invitation Related Post: Amazon Accelerate Coupon Code: Save $50 With SmartScout Scott’s Links: LinkedIn: linkedin.com/in/scott-needham-a8b39813 X: @itsScottNeedham Instagram: @smartestseller YouTube: www.youtube.com/@smartestamazonseller2371 Newsletter: https://www.smartscout.com/newsletter-sign-up Blog: https://www.smartscout.com/blog  

Scott sits with Christian, founder of Autopilot, about his extensive study on Amazon's AI shopping assistant (Alexa / Rufus) and how generative recommendations are fundamentally changing how products get discovered on and off Amazon. Christian explains that AI-driven shopping isn't just a replica of traditional search results, it also represents a distinct "third shelf" alongside organic search and paid advertising. Through a study analyzing over 110,000 search listings and 13,000+ Alexa recommendations, Christian discovered that 64% of Alexa's suggestions actually fall outside the top 10 organic search results. While top organic spots hold an advantage for the primary recommendation, deeper AI suggestions heavily favor long-tail products backed by strong star ratings (4+ stars), high sales velocity, and concise titles optimized for AI truncation. Furthermore, running PPC ads offers only a tiny chance of forcing an AI recommendation if the listing lacks strong underlying signals. The big takeaway is that AI discoverability operates as a holistic 360-degree ecosystem. Off-Amazon content on target sites, D2C stores, and deal forums heavily feeds engines like ChatGPT and Google AI. To win in the long run, brands must optimize their data infrastructure and create "agent-friendly" D2C content that AI bots can crawl, validate, and convert into citations and recommendations. Episode Notes: 00:00 – Christian’s background 01:30 – How analyzing 15,000+ brands led to founding Autopilot 03:00 – Amazon unifying Rufus and Alexa under one shopping brand 04:30 – Why AI recommendation is Amazon's "third shelf" 06:00 – Methodology behind the 13,000+ Alexa recommendation study 07:30 – Alexa picks 09:30 – PPC reality check 11:00 – Category variations: Apparel vs. Health & Supplements 12:30 – What signals drive AI picks (ratings, sales velocity, title length) 14:30 – ChatGPT & Google Shopping 17:00 – Optimizing off-Amazon content for AI crawlers 19:00 – Tracking AI visibility using tools like Gumshoe, Peek, and Profound 21:00 – The scale of AI shopping: Over 100 million daily product searches 22:30 – How to connect with Christian and access the study report Related Post: Amazon Accelerate Coupon Code: Save $50 With SmartScout How to Reach Christian: Website: autopilotbrand.com LinkedIn: linkedin.com/in/umbach Scott’s Links: LinkedIn: linkedin.com/in/scott-needham-a8b39813 X: @itsScottNeedham Instagram: @smartestseller YouTube: www.youtube.com/@smartestamazonseller2371 Newsletter: https://www.smartscout.com/newsletter-sign-up Blog: https://www.smartscout.com/blog