

STUMP BEZOS
63.1% of US consumers have used Al for product research. Per eMarketer, what percentage have switched brands because of an AI recommendation?
[ Answer at bottom of email ]

💰 AMAZON SEARCH ISN’T DEAD - SORRY LINKEDIN
For two years the hot takes have written the obituary: "Amazon search is dead." "Everyone discovers through Rufus now."
Helium 10's Bradley Sutton just published the receipts saying otherwise using millions of Search Query Performance (SQP) data points going back to January 2024, before Rufus even existed.
First, a reminder of how the ground shifted: Amazon killed Rufus in May 2026 and replaced it with Alexa for Shopping. Same idea, but with deeper purchase-history awareness, auto-purchase triggers, and price reminders. (If Rufus had truly "changed the game," it probably wouldn't have been replaced.)
Here's what the SQP data actually shows across the Rufus era and into the Alexa era:
→ Search volume: flat. Keywords with consistent data since January 2024 show no drop-off. If 500K people searched your keywords monthly two years ago, roughly 500K+ still do. (June 2026 spiked — that's Prime Day moving to June, not an AI trend.)
→ Clicks: steady, with one thing to watch. Consistent through 2024–2025, then a jump in early 2026, but clicks dipped in May and June, the first two months of Alexa for Shopping. Too early to call it a trend, but if shoppers start sifting results via Alexa instead of clicking, this is where it'll show. Keep an eye on it.
→ Conversion rate: up year over year 2024 to 2025, mixed but not collapsing in 2026.
→ Purchases after search: up every single month, year over year.
The takeaway for your listings: the way you'd optimize for keywords in 2024 is still basically what you should be doing in 2026. Keyword research isn't dead, A9 SEO isn't dead, and you don't need to rebuild your catalog around a chatbot.
Sutton's sensible both/and: yes, also optimize for Alexa for Shopping. Make sure your listing answers the questions Alexa auto-surfaces on your PDPs, but treat it as a 1–3% edge, not a replacement strategy.
Where AI has changed behavior: review summaries instead of review reading, exposed price history, and price-drop purchase triggers. Discovery? Shoppers who know they want a 32-oz insulated water bottle still just type it in because nothing is faster.
Credit: Bradley Sutton, Helium 10 — full 11-minute read has the charts. Bradley will be at BDSS Market Masters 4 in Austin August 20-24.

🌎 INTERESTING STATS


🕹️ TIKTOK WANTS to RUN YOUR SHOP FOR YOU
TikTok is taking the wheel. According to documentation viewed by Business Insider, TikTok Shop is recruiting sellers for a US managed-services pilot launching in August, and it's a very different model than anything Amazon or Walmart offers.
Under the pilot, TikTok itself would run nearly the whole operation:
→ Marketing, automated ads, and creative testing through GMV Max
→ Listing optimization
→ Hiring creators and producing content — including hundreds of AI-generated videos
Your job? List the products and ship free samples to influencers. That's about it.
The price of the passenger seat: a $10,000 flat fee plus a 10–20% commission per sale depending on category. The program is open to both US sellers and foreign companies selling into the US.

Why this matters if you're on (or eyeing) TikTok Shop:
→ It puts TikTok in direct competition with its own agency partners. The same third parties it leaned on to build US Shop since 2023. If you're paying an agency for creator outreach and ad management, TikTok may soon be your agency.
→ It's part of a pattern of tightening control: GMV Max became mandatory for Shop ads last September, and TikTok nearly forced everyone onto Fulfilled by TikTok before backing off. Expect less self-serve freedom over time, not more.
→ It's the Douyin playbook. TikTok's sister app in China runs this same company-managed model successfully, and TikTok's e-commerce leadership has increasingly shifted to Douyin veterans. What works in China keeps getting ported over.
EMARKETER pegs TikTok Shop at $23B+ in US sales this year. That’s still a rounding error next to Amazon's projected $800B+ in 2026, but growing fast enough that TikTok is willing to get its hands dirty.
The math to run before you sign up: $10K plus up to 20% commission stacks on top of TikTok's existing referral fees. For most Amazon sellers, this only pencils out if TikTok's creator machine and AI video volume can drive sales you couldn't reach on your own. If your Shop revenue is still small, that $10K buys a lot of influencer samples instead.

🛠️ BDSN SOFTWARE TOOL of the DAY 🛠️
Your Amazon title is splitting next week - how to fix it
On July 27 your Amazon title splits into 2 fields: a 75-character Title plus 125 characters of Item Highlights
Do nothing, and Amazon's AI rewrites your title for you. It does a clean, accurate job — but it can't see which of your words were making you money.
On one real listing, Amazon's version dropped "Disposable Plastic Plates" (the #1 keyword at 13,000 searches a month), cut "25 Guests" (the spec buyers actually shop on), and skipped "Heavy Duty, BPA-Free, Recyclable, China-Like Look" entirely — phrases that only surface when you dig through competitor titles and hundreds of customer reviews. Nobody invents "China-Like Look" at a desk.
Superfuel's AI agent does that digging for you. It writes the title from your search query data, competitor titles, and reviews — and shows you the reason behind every change.
Then comes the part almost nothing else does: it measures what the change did to your sales, stripping out price, ads, promos, seasonality, and about 19 other factors, and tells you plainly — keep, monitor, or revert. One grinder's sales rose ~$1,120 in a month; the title's own share was +$480. The rest was a deal, ad spend, and a price bump. Now you know.
So far: 25–35% more impressions and clicks on measured listings, and about $20K/month in extra sales for Fellow.

Run it on 5–10 of your ASINs free — you only pay once it's driven measured sales.
→ Want the method first? A 20-minute walkthrough from Superfuel co-founder Ben Mathew: Watch here
→ Or just point it at a listing. Paste an ASIN — free, no signup: superfuel.io
Writing a good title is 25% of the work. Knowing whether it worked is the other 75%. On the 27th, all of Amazon does the first part. Almost none of it will do the second.

🚀 AMAZON’S AI IMAGINES PRODUCTS BEFORE FINDING
Sharp catch from BDSS Dream 100 member Vanessa Hung: Amazon has rolled out AI-powered visual search for US app users.
Type a text query (so far she's seen it in clothing and jewelry), and the search bar generates a sample image of the product before showing you real listings.
Vanessa's not joining the "keyword search is dead" chorus. Her read is more interesting than that:
The AI-generated image is a preview of buyer expectation. Amazon interprets the query visually, creates a reference image of what it thinks the shopper wants, and that image becomes the benchmark your product photos get matched against.

Discovery is no longer driven by indexed text alone. There's now a visual matching layer sitting on top of it.
The implication: if your main image doesn't look like what the system generates for a given search term, you lose relevance in that layer, and your backend keywords become your only way back into the rankings.
Her homework assignment for you:
→ Open the Amazon app and type the queries your buyers actually use. Study what the AI generates.
→ Compare that output against your main and secondary images. A visible gap = your optimization target.
→ Focus on lifestyle framing, color accuracy, and the product angles that match how the algorithm interprets the term.
It's early, but the categories where it works already show how image similarity is being weighed. Keywords still drive discoverability; images now influence which listings count as a strong visual match.
Want to go deeper on this and other listing topics? Vanessa is speaking inside the Billion Dollar Sellers Club (BDSC) this Wednesday. Don't miss it!

Restock Planner: Your inventory sweet spot
Reach page 1 on Amazon simply by sending free products to Micro-Influencers
Use the platform Stack Influence to automate Micro-Influencer product seeding collaborations at scale (get thousands of collabs per month) and increase your Amazon ranking, generate UGC, and boost up your recurring revenue like never before.
Top Amazon brands like Magic Spoon, Unilever, and MaryRuth Organics have been able to get to #1 page positioning on Amazon and increase their monthly revenue as high as 13X in as little as 2 months.
Pay influencers only with products (stop negotiating fees)
Increase external traffic Amazon sales (get to top page rankings)
Get full rights image/video UGC (build your brand with authentic content)
100% automated management (don’t lift a finger to get influencer collabs at scale)
Don't believe it? Check out the results from the Blueland Micro Influencer campaign which generated a 13X ROI scaling up influencers on Amazon.
After successfully raising investment on Shark Tank, Blueland turned to Stack Influence to boost their Amazon sales and become a top selling listing using Micro Influencer marketing.
Increase your Amazon listings ranking for targeted keywords and multiply your organic recurring revenue in 2026!
Get 10% OFF by signing up this month

🗜️ AMAZON’S AI DOESN’T CARE ABOUT YOUR RANKING
Here's a stat that should rearrange some priorities: when Amazon's Alexa for Shopping recommends a "best" product, 63.9% of its picks fall outside the organic top-10 for that search term and 40.9% never appear on the visible results page at all.
That's from one of the first large-scale studies of what Amazon's AI assistant actually recommends using 1,963 non-branded queries and 12,810 recommendations captured in May and June by Autopilotbrand.com, and covered by Marketplace Pulse.
The method: ask the assistant a best-of question ("what is the best queen mattress?") and compare its picks against the plain search results ("queen mattress").

The findings that matter:
→ Rank doesn't buy you in. The metric every seller dashboards obsesses over is the one the assistant most conspicuously ignores.
→ Neither do ads — yet. Only 14.3% of AI picks were running a sponsored listing on that search page, and 83% of those already ranked organically anyway. The $68.62 billion sellers spent on Amazon ads in 2025 bought search visibility, not AI recommendations.
→ It's a "third shelf." As Autopilotbrand CEO Christian Umbach puts it: alongside organic and paid, there's now a shelf you can't buy or rank your way onto. Getting on it takes richer catalog data, optimization around shopper intent, and continuous updates as seasonal use cases evolve.
The opportunity: if you're NOT winning top-of-search, this is a brand-new path to compete. The AI can surface your product where the category leader doesn't appear. Rank incumbency is a weaker moat here than anywhere else on Amazon.
Amazon has already started testing Sponsored Products inside the assistant. The sellers learning how the AI shelf selects now are the ones who'll notice the day the economics change.
Source: Marketplace Pulse, study by Autopilotbrand.com

Like BDSN? Forward this email to a friend!
If you’re that smart friend, subscribe now:

🔥 MORE HOT PICKS 🔥
🥃 PARTING SHOT
"All the water in the world cannot sink a ship unless it gets inside the ship. All the negativity in the world cannot sink a person unless it gets inside the mind."
✌🏼 See you again Thursday …
The answer to today’s STUMP BEZOS is
79% have switched brands due to an AI recommendation





