If you missed BDSS 13 Virtual last week, then you missed Andrew Erickson’s almost perfect score presentation on generating a highly engaged customer list.

Andrew won Best Speaker, but right behind him it was cut-throat as some of the smartest minds in e-commerce brought their A-game to the stage.

Here’s a short summary of some of what you missed:

Amy Wees
Use Rufus + ChatGPT to pull the exact words buyers use, then turn that into listings that convert.

Build a *Rufus + ChatGPT “customer truth machine”** to extract objections, comparisons, and decision drivers in your niche.

She shares the prompts and the workflow details in the full replay.

Andrew Bell

Rufus explained like a seller, plus what to change so your products get recommended.

A practical playbook to *optimize for keyword matching and Rufus together**, including attribute and review signals that influence confidence. with multiple *custom GPTs** that turn research into SOP-style listing and catalog upgrades, with examples you can swipe.

The “Rufus Blueprint” sections alone are worth the replay.

Andrew Erickson

The post-2025 lead magnet that actually converts, built fast with AI.

Replace dead PDFs with a *one-page Brand App** that produces a personalized output in under 60 seconds.

The replay shows the exact structure and examples that make it work.

Chris Luck

The 2026 AI toolbelt for ecom, plus how to chain tools into real workflows.

A curated stack across *research, listing, creatives, video, PPC automation, reviews, inventory, and compliance**, with a resource doc.

The tool list is useful, the workflow is the multiplier.

Dan Ashburn

Stop copy-pasting prompts, build an AI command center that actually runs your business.

A practical approach to an *AI Command Center** that connects tools so AI can act with context. The framework: *instruction file, rules, skills, hooks, agents, connections**, built to run end-to-end workflows.

The replay is basically a blueprint to operationalize AI, not just “use AI.”

Dan Kurtz & Norm Farrar

AEO for ecom, how to show up in the answers inside ChatGPT, Perplexity, Google AI, voice, and Rufus.

How to win *2 to 3 “recommended answers”** across AI engines, not just rank in classic search. Authority signals that matter now: *citations, mentions, research, reviews, syndication**, and how to compound them.

This is the playbook for sellers who want demand creation and defensible visibility.

Kamal Singh

The main image system that drives CTR, plus how to test fast before you waste weeks.

The “$1M main image SOP”: start with *10 to 12 variations**, collage to spot what pops, then rebuild winners.

The replay includes the full iteration flow and what most sellers test incorrectly.

Leo Sgovio

AI visuals and GEO that make your brand look bigger and get discovered more.

AEO for websites: a *AEO Bundle Builder** that outputs the pieces needed to be understood by generative AI engines. Plus an AI video cheat code using *Nano Banana** to clone ad-style outputs with your branding and product placement.

The replay is loaded with build ideas you can implement immediately.

Matt Altman

AI influencer systems that scale content and demand without guessing.

A *repeatable content factory** to repurpose what performs into scripts, personas, and platform-ready assets, plus Automation stack: *n8n + Apify** to scrape winners, route into production, then distribute across accounts.

If you want consistent demand creation, this replay is a goldmine.

Oana Padurariu

AMC made simple and profitable, build audiences fast, then activate them correctly.

Build *3 high-impact audiences** quickly (cart abandoners, competitor brand searchers, repeat buyers) using AMC instructional queries, plus which campaigns to use, how to bid, and how to *pair audiences with promotions** for immediate lift.

The replay includes the “do this next” steps that turn AMC into a revenue lever.

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BDSS 13 speaker Scot Wingo was alerted over the weekend to a report from LLM beta feature tracker TestingCatalog that a user spotted seeing in their ChatGPT interface a “Cart” section.

Based on what these screenshots are hinting at, ChatGPT is likely rolling out cart functionality that looks a lot more like a real shopping operating system than a one-off “buy this item” widget.

Here’s what that implies we’ll have access to, probably very soon:

1) A persistent cart, inside the chat

As you’re talking with ChatGPT, you can casually add items as they come up, keep browsing, keep comparing, keep asking questions, and the cart just stays there. No restarting the flow, no “where was I?” moments.

2) Multiple carts (not just one)

The “(0)” next to the word “carts” is the tell. That suggests plural carts, which means different buying missions can run in parallel without getting tangled.

3) Named carts

If there are multiple carts, naming is the natural next step. Picture carts like:

That turns shopping into an organized system, not a chaotic pile of tabs.

4) Multi-merchant carts with one checkout

This is the monster feature: add something from Etsy, something from Chewy, something from a DTC site, maybe even a big-box retailer, then check out once. One conversation, one cart, one purchase moment, across multiple merchants.

Why Scot says this has him more excited than he should be:

If this lands the way it looks like it’s landing, Holiday 2026 is going to be absolutely unhinged.

Shoppers inside Google’s AI Mode and the Gemini app are about to go from “browse” to “buy” without ever leaving the chat. Product discovery, recommendations, and checkout can all happen right there, with fewer click-throughs to retailer sites.

We’ve seen Google push the “zero-click” trend for years, answer on-SERP, keep the user on Google. Now it is aiming that same gravity at commerce.

The new mechanism: Universal Commerce Protocol (UCP)

Google’s newly announced Universal Commerce Protocol is designed to let an AI agent complete checkout by talking directly to a retailer’s backend systems, while the retailer remains the merchant of record.

Google’s framing is basically: we connect the shopper to the retailer, we do not “become” the retailer.

Why this matters for e-commerce sellers

For two decades, the website was the funnel. UCP shifts the funnel upstream, into the conversation layer. That means a growing slice of “high intent” shopping could move to in-chat, low-friction purchases, and your site becomes one of several endpoints, not the only one.

Leigh McKenzie at Semrush captured it well: websites still matter, but they are no longer the only door.

Your feed becomes your storefront

In this world, the brands that win are the ones whose product data is the easiest for machines to understand, trust, and act on.

To participate in UCP-powered experiences, you need a strong, accurate product data feed in Google Merchant Center.

Google is also rolling out dozens of new Merchant Center attributes geared toward this conversational commerce era, including structured details like answers to common questions, compatible accessories, and substitutes.

The headline here is simple: if AI is becoming the storefront, your product data is your packaging, shelf placement, and sales rep all rolled into one.

BDSS Dream 100 member Adam Heist says there’s always a special kind of silence right before everything changes. Not peace, the breath-holding moment before the drop.

The Youtibe video above is worth your time to watch.

That’s where Amazon selling is right now, January 2026. Most sellers are still doing what worked last year: tweak PPC, split test bullets, polish the main image, chase CTR.

Meanwhile, Amazon’s AI shopping assistant, Rufus, is training customers to stop browsing and start delegating. Hundreds of millions of shoppers have already used it, and Amazon is adding capabilities that matter far more than another ad placement: memory, price tracking, and autonomous purchasing.

The Last Generation of Amazon S …

If you’ve been around long enough, you’ve seen this movie. Every Amazon era ends the same way:

The graveyard is not a place, it’s a pattern: sellers build on Amazon’s infrastructure, Amazon turns up the dial, and the old playbook stops working fast.

Now we are entering the next ending, and it’s different for one reason: you are not just getting replaced by sharper operators. You’re getting replaced by machines.

AI agents do not shop like humans. They don’t fall in love with your lifestyle images. They don’t “feel” your brand story. They evaluate structured signals, specs, reviews, return rates, price, availability, and machine-readable attributes.

If the customer never sees your listing because an agent makes the decision upstream, then “conversion optimization” becomes “agent preference optimization.”

The Last Generation of Amazon S…

Big takeaway: Start building for the buyer that is coming, not the buyer you remember.

That means two shifts. First, stop treating Amazon as the whole business, it’s a channel with rising rent. Second, start preparing your offer, data, and operational reliability to win in an agent-mediated world, where visibility is earned by measurable performance signals, not persuasion alone.

For this reason alone, you need to be in Nashville at Kevin’s Ecom Mastery AI in April.

✌🏼 See you again Thursday …

The answer to today’s STUMP BEZOS is
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