The Smartest Amazon Seller

Scott shares a few 2026 updates shaping the Amazon landscape... plus a key reminder that opportunity is still real, but it’s shifting.

He challenges the “Amazon is dead for new sellers” narrative. Michael White (a longtime SmartScout teammate) left to launch his own Amazon brand and has already crossed $1M in revenue after launching in August. This was driven by patient sourcing and a clear trend thesis.

From there, Scott zooms out to the more sobering macro view behind his YouTube documentary “Death of the Amazon Seller”: fewer new sellers are entering, and incremental marketplace growth is increasingly captured by large brands, large sellers, and Chinese sellers.

using creatine as the example, Scott leans into what he’s most bullish on: trend-chasing done intelligently. While the overall creatine market is booming, the real edge is spotting sub-trends inside the trend (like gummies, Creapure, and women-focused positioning) that are growing faster than the broader category.

He closes with a data point on Chinese sellers shifting their “country of business” (often to Hong Kong or the U.S.) and a new research tool he’s excited about: ECDB, a global e-commerce database founded by a former Statista leader, aimed at mapping retail and marketplace performance worldwide.

Episode Notes

00:31 - A real-world counterpoint to “Amazon is too hard now”: a SmartScout teammate launches and hits $1M+ revenue fast

01:48 - Why Scott’s documentary argues Amazon is consolidating: fewer new sellers, more share captured by big players

03:00 - Why Scott is still bullish on trend-based product selection, especially in fast-moving categories

03:55 - Creatine as the case study: macro growth is strong, but sub-trends are where the outsized opportunity lives

05:00 - Practical takeaway: “find a trend inside the trend” and build positioning around the faster-growing slice

06:45 - New data insight: large Chinese sellers changing business location (often Hong Kong or U.S.)

07:50 - Why: conversion optics and rising pressure around revenue reporting and compliance

09:25 - Tool spotlight: ECDB and what global marketplace data reveals about Amazon vs. China-based giants

11:08 - Scott’s outlook: Still optimistic on growth, but the game is changing

Related Watch

“Death of the Amazon Seller” 

Related Post

Top 10 Chinese Sellers That Have Changed Countries

 

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

Amazon sellers are entering a new era of product discovery, and AI visibility is becoming part of the playbook.

In this episode, Scott sits down with Yona, founder of Amazon Growth Lab, to break down how brands can improve visibility across both Amazon’s ecosystem (Rufus, Cosmo, organic search) and external LLMs like ChatGPT and Perplexity.

Yona explains why traditional keyword stuffing is fading, how Amazon is evolving toward context and use-case relevance, and why listing content now needs stronger sentiment alignment across titles, bullets, A+ content, and images.

They also dig into the difference between Amazon visibility and LLM visibility. Since LLMs often do not scrape Amazon product pages directly, Yona shares why off-Amazon signals like press, community mentions, and helpful content can influence whether products get recommended in AI answers.

The conversation also covers a practical conversion playbook for 2026, including CTR optimization, image testing, PickFu workflows, conversion benchmarking, reviews, and iterative A/B testing for infographics and A+ content.

If you want a clear breakdown of what’s changing in Amazon search, AI discovery, and conversion strategy, this episode is packed with actionable ideas.

Episode Notes:
00:09 - Intro to the 2026 AI visibility conversation and guest intro (Yona, Amazon Growth Lab)

02:32 - The core question: how brands show up in LLMs for high-intent prompts

03:19 - Why LLM visibility is easier for DTC/Shopify than Amazon

04:30 - Robots.txt explained in simple terms and why it matters for AI indexing

04:50 - Why Amazon blocks LLM scraping and the threat of agentic commerce

06:48 - How Amazon products still get recommended via off-Amazon sources

08:32 - Why old Amazon SEO tactics are fading (keyword stuffing vs relevance)

11:56 - Images, A+ content, and infographics as SEO/AI signals

12:31 - Underused Seller Central tools: Search Query Performance and Product Opportunity Explorer

14:14 - Using customer sentiment language in content to improve Rufus indexing

15:32 - Why CTR and conversion rate are still the strongest Amazon visibility levers

18:03 - Amazon platform visibility vs LLM visibility: different strategies

18:49 - Off-Amazon visibility drivers: press releases, Reddit, Quora, and brand mentions

24:27 - Amazon’s long-term concern: customer control and ad dollars shifting to AI

26:30 - Why blogs still matter, and how visuals/structured content help brands stand out

29:24 - AI visibility tracking tools (Profound, Surfer, Scrunch AI) and why using multiple tools helps

31:45 - 2026 conversion strategy: building a funnel for CTR and conversion improvement

32:09 - PickFu testing workflow for improving main images and click-through rate

36:28 - Conversion levers: pricing, reviews, creator content, infographics, A+ content, and split tests

41:03 - Enterprise scaling: automating creative production and localization across thousands of listings

43:43 - Yona’s closing advice and where to connect with Amazon Growth Lab

Related Post
AI Visibility for Amazon Products: Are ChatGPT and Rufus Recommending You?

Guest Link

Amazon Growth Lab: AmazonGrow.com

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

AI is changing how shoppers discover products, and Amazon sellers need to pay attention now.

In this episode, Scott breaks down the rise of AI-driven product discovery through tools like Amazon Rufus and ChatGPT, and explains why visibility in AI answers is becoming a new layer of competition for sellers.

He unpacks Amazon’s Cosmo framework, including the key product-understanding questions AI systems use to evaluate listings, and introduces SmartScout’s new tools built for this shift: the Amazon AI Scorecard and the AI Visibility Monitor.

Scott explains how the scorecard audits your listing content across bullets, A+ content, and images to measure how well your product answers AI-relevant questions. He also shows how the visibility monitor tracks how often your products appear in ChatGPT recommendations over time, even when AI responses are inconsistent.

Scott also shares how sellers can improve AI visibility through better listing content, stronger online presence, and a more intentional long-term strategy for LLM discovery.

If you want to know whether your brand is winning the AI visibility race in your category, this episode lays out the framework.

Episode Notes:

02:00 - Amazon Rufus adoption and what it could mean for product discovery

03:10 - ChatGPT shopping behavior and why AI shopping queries still matter

04:06 - Why AI shopping accuracy is not perfect yet, but still important

04:34 - Amazon Cosmo and the product questions AI systems use to understand listings

07:00 - The shift from keyword-only thinking to AI-ready product content

07:32 - SmartScout’s Amazon AI Scorecard and how it evaluates listing quality

08:10 - How the scorecard creates a feedback loop for continuous improvement

10:23 - SmartScout’s AI Visibility Monitor and tracking LLM recommendation share

12:40 - Why ChatGPT results are non-deterministic and how visibility percentage helps

14:53 - Creatine example: measuring AI visibility by niche and query type

16:23 - How to improve AI visibility through listing content and off-Amazon signals

17:44 - Why this matters for sellers, brands, and teams in 2026

 

Related Post

Top 10 Amazon FBA Reimbursement Services to Recover Your Funds

 

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

Amazon’s new AI shopping agent could reshape how people discover and buy products online.

Scott breaks down Amazon’s “Buy for Me” initiative, which is an AI-driven shopping flow that can surface off-site products and redirect shoppers to external stores. He unpacks what it could mean for conversion, attribution, and Shopify seller economics.

Learn how it works in practice, and why it matters for sellers who rely on traditional storefront traffic. If the shopping experience starts on Amazon and finishes elsewhere, the rules around discovery, trust, and conversion can shift fast.

Scott also explains agentic commerce, where AI drives more purchase decisions, and why the impact will vary: small businesses can adapt faster, while larger organizations face more friction.

Zooming out to 2026, Scott weighs bearish risks, such as white-collar layoffs, against bullish tailwinds that could keep demand strong and create new e-commerce opportunities.

Episode Notes:

00:40 - Amazon’s Buy for Me AI Agent

04:51 - Agentic Commerce & Human-in-the-Loop vs. Human-Out-of-the-Loop

05:59 - Widespread AI Adoption and Its Impact

10:45 - Amazon Reviews: Policy Update

12:31 - Bear Case for Amazon & E-Commerce in 2026

15:13 - Bull Case for Amazon & E-Commerce in 2026

 

Related Post: Top 10 TikTok Marketing Agencies for DTC and CPG Brands

 

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 returns from a month of trade shows to break down what he’s seeing on the front lines of e-commerce, and why we’re entering a new era of “AI visibility” for Amazon sellers.

He shares how the largest brand client his team has ever signed actually found them through ChatGPT, and what that means for agencies, software tools, and brands trying to stand out online.

Scott walks through the major eras of selling on Amazon, from early booksellers and repricers to retail and wholesale resellers, the private label boom with Jungle Scout, the rise of Amazon advertising and analytics tools, TikTok Shop’s rapid growth, and now AI business agents and shopping assistants.

He explains how AI tools like ChatGPT and Gemini already influence which Amazon products, agencies, and software tools get recommended, and why strong written content, clear bullet points, and smart keyword strategy matter more than ever.

 

Episode Notes:

 

00:30 - Signing Up a Large Corporation

01:30 - The Evolution of Amazon Selling: Era by Era

06:50 - The Dawn of AI Visibility

07:29 - Understanding AI Visibility on Amazon

10:05 - Building Amazon Visibility

11:19 - Amazon vs. AI Shopping Agents

13:47 - Content Optimization for the AI Era

16:02 - Keyword Ranking by State

16:55 - SmartScout’s Feedback Tool

 

Related Post: The Ultimate Guide to Amazon Selling Tools (and How to Choose the Right One)

 

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