This week, two things became clear:
→ You won’t need dashboards to run your business.
→ And you won’t need Ads Manager to run your ads.
Shopify is turning prompts into your new backend.
And Meta is turning ChatGPT and Claude into your new media buying interface.
The question isn’t whether this changes things.
It’s whether you’re building an edge, or just following the default.
Topics we'll cover today:
💠 Shopify Just Changed the Game (Again)
💠 Meta Just Plugged ChatGPT and Claude Into Your Ad Account
💠 From Shopify Startup to Walmart Shelves: Building a Category Leader
💠 Latest news in the DTC space
Shopify Just Changed the Game (Again)
What.a.week for Shopify!
In case you missed it, here's what happened in the last few days:
Shopify x ChatGPT & Claude
On Monday, Shopify President - Harley Finkelstein - announced Shopify's integration with ChatGPT and Claude.
What does this mean?
Now, Merchants can:
1) Analytics, on demand
Query your entire business like an analyst, without dashboards.
Sales, AOV, LTV, conversion, traffic, returns, discounts, all of it.
Slice by product, channel, country, device, time period.
Compare performance across periods when ShopifyQL allows it.
2) Product management
Create, edit, and manage products end-to-end.
Variants, SKUs, pricing, descriptions, images.
Bulk actions included.
You can literally run your catalog from a prompt.
3) Inventory control
Check stock by product, variant, or location.
Update inventory safely with real-time awareness of current levels.
4) Collections
Build and manage collections, manual or automated.
Add products, tweak rules, update merchandising.
5) Discounts
Spin up discount codes with targeting built in.
Set rules like minimum spend, quantity, customer segments, and time windows.
6) Orders and customers
Pull recent orders or deep-dive into a single one.
Segment customers by behavior, spend, geography, or tags.
7) Store admin + advanced ops
Access store-level data instantly.
Switch between stores.
Even run custom GraphQL queries when native actions fall short.
Shopify's AI Readiness Tool
Shopify just dropped a free tool to answer one question:
Can AI agents actually shop your site?
Paste any store URL, no login needed, and it runs 31 checks across:
AI discoverability
Product schema
Transaction readiness
Trust signals
Operational maturity
It flags what most brands miss:
Missing structured data, invisible policies, no LLM.txt, weak signals for agents.
Then it prioritizes fixes using an impact vs effort framework.
Spoiler: If your store is on Shopify, then it's "AI ready". 😉
Whatnot Integration
Whatnot, the live shopping platform, just plugged directly into Shopify.
Translation: Any Shopify brand can now sell via livestreams without breaking their backend.
Products, inventory, and orders sync automatically.
No more duplicate catalogs. No manual reconciliation.
Live shows happen on Whatnot.
Everything else stays inside Shopify.
--
If you need an experienced growth partner to help your brand grow in Q2, let’s chat.
Want to Make 2026 Your Brand’s Best Year Yet?
Over the past few months, we’ve audited over 50 7fig+ brands.
Most weren’t struggling to grow.
They were struggling to grow efficiently.
Revenue was there.
Profit wasn’t.
And in many cases, the same patterns kept showing up:
Rising CAC with no structural changes
Leaky customer journeys
Offers that stopped converting at scale
Channels working in silos
That’s what keeps brands stuck in plateaus, even while spending more.
Q2 is where this compounds.
You either fix the system…
Or you pay more to get the same results.
At BSR, we work with 7- and 8-figure brands to identify where profit is leaking across ads, email, and the customer journey, and build a clear roadmap to scale efficiently.
If you’re planning to push growth in Q2, this is the moment to get the foundation right.
Meta Just Plugged ChatGPT and Claude Into Your Ad Account
Right after the Meta x Manus deal fell apart, they moved fast.
They launched Ads AI Connectors (open beta).
✋ Meta is rolling this out, so it may not be available for your ad account yet.
What changed:
You can now run Meta ads from the AI tools you already use.
ChatGPT, Claude, or anything in your workflow.
No APIs.
No dev work.
No setup friction. (Well, only a little bit, for now)
What you can actually do:
Pull real campaign data and performance reports
Create and edit campaigns using plain English
Manage product catalogs and fix feed issues
Diagnose signal quality and tracking gaps
Two layers now:
Meta AI assistant = guidance inside Ads Manager
AI connectors = execution outside of it
You can use both, depending on workflow.
My take:
This doesn’t make media buyers better. It exposes them.
Most people will do the same thing:
“Audit this account.”
“Fix performance.”
“Improve ROAS.”
And then…they’ll follow whatever the AI says.
That’s the trap.
Because now your “strategy” is just Meta’s default playbook, delivered through a different interface.
Same recommendations.
Same structure.
Same outcomes.
Just faster.
This will make average media buyers lazier, not better.
They’ll outsource thinking.
They’ll accept outputs without pressure-testing them.
They’ll stop building conviction.
And when everyone uses the same prompts…everyone gets the same answers.
So where’s the edge?
Not in prompting.
In training the system to think like you.
The best operators will:
Feed the model their own frameworks
Define what “good” looks like beyond Meta’s defaults
Build constraints around budget allocation, testing logic, and scaling rules
Override generic recommendations with context the model doesn’t have
Instead of asking: “What should I do?”
They’ll tell the model: “Operate like this.”
That’s the shift:
From using AI as a consultant
→ to using AI as an operator trained on your playbook
Because, after all, here’s the truth:
The tool is the same for everyone.
The advantage comes from the system you bring into it.
--
Follow me on LinkedIn for more growth marketing content in the e-commerce space.
From Shopify Startup to Walmart Shelves: Building a Category Leader
Getting into Walmart wasn’t a straight line.
It took years of outreach.
No responses.
And a long wait.
Until one opportunity opened the door.
Today, they’re selling in Walmart stores.
In this episode of The DTC Insider, Brian Roisentul sits down with Samuel Goodman - co-founder of Cheeky - to break down what it really takes to break into big-box retail.
We talk about:
Starting with no experience and validating through customer calls.
Building and scaling a Shopify-first brand to thousands of customers.
Expanding into new product lines based on customer demand.
🎙 Tune in
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Latest News in the DTC Space
📰 Agentic Commerce on Shopify: How It Works [read more]
📰 China Blocks Meta-Manus Deal: What Now? [read more]
📰 Instagram updates algorithm to benefit original creators [read more]
About The Writer
Brian Roisentul is the founder & CEO of BSR, a growth marketing agency he started in 2013 to help e-commerce brands unlock hidden revenue by identifying misalignments between their marketing and customer behavior. He is also the host of The DTC Insider podcast, where he interviews thought leaders, founders, and directors in the e-commerce space.
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