[ BDSN ] Amazon CEO: future is AI Agents selling

🖲️ AMAZON CEO on GEN AI IMPLICATIONS for SELLERS

In a powerful June 17 internal message, Amazon CEO Andy Jassy revealed the company's deep and accelerating commitment to Generative AI, a shift that directly affects how sellers list, advertise, and grow on the platform.

Here’s the key seller-focused scoop from Jassy:

🧠 AI Is Everywhere at Amazon

• Product Listings: Nearly 500,000 sellers are using GenAI tools to build better listings faster with tools that recommend titles, bullets, and SEO-driven content.

• Advertising: Over 50,000 advertisers used Amazon’s AI ad tools last quarter to plan, launch, and optimize campaigns more efficiently.

• Alexa+ and Shopping Assistants: AI now powers smarter voice and visual shopping tools like Lens and Buy for Me, changing how consumers discover products.

📦 Ops & Fulfillment

AI is also optimizing:

• Inventory placement

• Demand forecasting

• Robotics efficiency

• Even the assembly of product detail pages from seller content

🔮 The Future: AI Agents

Jassy emphasized Amazon’s future lies in AI agents, software systems that do tasks for people. Think:

• Researching products based on intent, not keywords

• Writing code

• Automating customer service

• Personalized shopping based on Amazon’s vast data

These agents are expected to revolutionize how sellers create listings. manage tasks and interact with customers.

📉 Workforce Shift

Amazon’s aggressive AI rollout may lead to corporate headcount reductions, as automation replaces some roles. But for sellers, this means leaner support and faster innovation cycles.

If you're not already exploring Amazon’s AI tools for listings, ads, or operations you’re already behind. The companies that embrace these changes will have the upper hand in speed, scale, and visibility.

🧪 Start experimenting, keep learning, and build with AI in mind. The next era of Amazon selling is here.

📋 CREATE PRODUCT PHOTOS & VIDEOS with HIGGSFIELD

Step 1: choose a photo of your model or avatar and a photo of your product.

I used these two photos:

Step 2: Go to Higgsfield and sign up for comped account

Step 3: Click on CREATE → IMAGE

Step 4: Upload your model and product images as separate files

Step 5: Type a prompt, such as “create an image of the model holding the product”

Step 6: Click GENERATE to create the image

in top right corner

Step 8: Select your motion style, and add a voice speaking if you’d like, then hit GENERATE

You get something like this, all from the original still photos:

📱  AMAZON ADDS REVIEW-BASED BADGES to MOBILE

Ivan over at Hunter’s Insights notes Amazon is rolling out bold, review-driven badges on mobile Product Detail Pages (PDPs), building on the “Frequently Returned” tag that rattled many sellers in 2023. This time, they’re introducing both positive and negative review-based badges such as:

• ✅ “Customers usually keep it”

• ✅ “Top reviewed for ease of use”

• ⚠️ “Frequently returned”

These badges pull data directly from customer feedback and returns, meaning your reviews now influence not just conversion rates, but actual product presentation.

• Review-Based Tags Are Live: Amazon uses aggregated reviews and return behavior to assign these badges.

• Conversion Risk: Negative tags can tank CTR and sales. Ads may still show, but performance will nosedive.

• Perception Is Power: A badge is a visual signal that shapes how shoppers view your brand—positively or negatively.

• Potential Death Sentence: Products with persistent negative tags could become non-recoverable without major intervention.

What You Should Do:

• 🔍 Monitor Reviews & Returns closely as these now directly affect visibility and trust.

• ✍️ Improve Listing Copy & Instructions to reduce confusion (and returns).

• 📦 Upgrade Packaging & Quality Checks to avoid buyer disappointment.

• 📊 Watch Ad Metrics Carefully as sales declines could be tied to new tags.

Here’s a tip from Charles Chakkalo of the Just A Seller newsletter on how to help prevent the conversion killing “Frequently Returned” badge:

He avoids costly returns and earn 10% back on every repurchase by using Amazon’s Product Lifecycle Support (PLS) program.

Instead of the standard “Return Product” button, customers see “Get Product Support” — which routes them to a help page that you control.

From there, you can:

• Walk them through a quick fix

• Offer a returnless refund

• Send a repurchase link (with attribution = 10% back in your pocket)

No return. No label. No warehouse fees.

Just a better customer experience — and a nice bump in margin.

Here’s how to enroll

🦾  ADOBE LAUNCHES LLM OPTIMIZER for AI SEARCH FUTURE

Adobe just dropped a tool every serious e-commerce brand should pay attention to: LLM Optimizer, a new suite designed to maximize your brand’s visibility inside AI-powered search engines like ChatGPT, Gemini, Perplexity, and Claude.

But here’s why this launch matters right now:

🔥 AI Search Is Rewriting the Rules of Visibility

AI isn’t just changing how people search. It’s replacing how they search.
At Google I/O 2025, the entire search landscape was flipped on its head:

• AI Overviews are now the default experience.

• Paid placements are embedded inside AI answers, not just on the sidebar.

• Keyword-level SEO is becoming irrelevant - it’s all about topic-level optimization.

• And AI Shopping Assistants with virtual try-ons are transforming buyer behavior.

If you're still optimizing listings or blogs around individual keywords while competitors are training content for AI-driven answers, you're losing visibility daily.

The shift is so big that Google's CEO confirmed a 10% spike in search usage—driven entirely by AI Overviews.

And with AI Mode rolling out to every user in the U.S., this isn’t a trend. It’s the new default.

🛠 Adobe LLM Optimizer: What It Does

Adobe’s LLM Optimizer is built to help brands thrive in this new ecosystem.

Key features include:

• Agentic Traffic Tracking
  See when AI bots reference your brand or listings in responses.

• Benchmarking Against Competitors
  Measure how often you're mentioned vs. the competition in AI-generated content.

• Auto-Suggest & Auto-Optimize
  Adobe uses AI to pinpoint what content is missing and offers one-click fixes via Adobe Experience Manager or APIs.

• Attribution That Connects to ROI
  Track how AI visibility impacts engagement, clicks, and sales.

💡 Why Amazon Sellers Should Care

• Your Amazon listings, blogs, and product inserts are now feeding AI crawlers, not just shoppers.

• Bad product data or missing content = invisibility inside AI-driven shopping assistants.

• Brands who optimize for AI first will show up when buyers use ChatGPT, Gemini, or even Google’s AI Overviews.

✅ Action Steps for Amazon Brands

• Audit your Amazon content for AI readability and structured data.

• Track how often your products are referenced in AI engines.

• Begin optimizing for topic authority, not just keywords.

• Test tools like Adobe LLM Optimizer or consult with a GEO (Generative Engine Optimization) expert.

Search traffic is up, but organic visibility is down. Your brand either shows up in AI summaries or gets replaced by one that does.

✌🏼 Have a great weekend.

See you again on Monday.

The answer to today’s STUMP BEZOS is
70 million adlults bought something on TikTok Shop