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
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