Merchkit is Now a Walmart Approved Solutions Provider - And Your Products Are About to Work a Lot Harder
Merchkit is officially a Walmart Approved Solutions Provider!
That means Merchkit catalogs now integrate directly into the Walmart Seller App Store. It also means your catalog automation just got a lot more powerful if you sell on Walmart.
But this isn't just about making Walmart listings easier to manage (though it does that, too). This is about positioning your products to win in the next era of eCommerce - where AI doesn't just help people search, it helps them buy.
Let's break down what this actually means for you.
What being a Walmart Approved Solutions Provider actually does
First, the basics. Merchkit now integrates directly into Walmart's seller ecosystem. That means you can automate the entire catalog syndication process without the usual headaches.
Here's what that looks like in practice:
Automated syndication built for Walmart's requirements. No more manually formatting product data to fit Walmart's spec. Merchkit handles it automatically — from attribute mapping to field validation.
Product descriptions optimized for Walmart's search algorithm & Sparky. Your listings aren't just compliant. They're written to rank. Merchkit generates SEO-optimized titles, bullets, and descriptions that help your products surface when shoppers search.
AI-generated fixes for catalog errors. Walmart flags an issue? Merchkit catches it, fixes it, and resubmits - automatically. No more troubleshooting error codes or resubmitting failed feeds.
You can see the full breakdown of what Merchkit does for Walmart sellers here: merchkit.com/integrations/walmart
But here's where it gets interesting.
Why this matters more than you think: Walmart + OpenAI
Two weeks ago, Walmart announced a partnership with OpenAI to build "AI-first shopping experiences." You can read the full announcement here: Walmart Partners with OpenAI
What does that mean? It means ChatGPT is about to become a shopping channel.
When someone asks ChatGPT for product recommendations, they're not just browsing. They're buying. And Walmart is positioning itself to be the fulfillment engine behind those purchases.
Now the quality of your product data doesn't just determine whether you rank on Walmart.com. It determines whether you show up in ChatGPT, too.
The problem: Most product feeds aren't built for AI
Here's the uncomfortable truth: the catalog structure that worked for traditional marketplaces doesn't work for generative AI.
ChatGPT doesn't just match keywords. It evaluates context, intent, and completeness. If your product data has gaps - missing attributes, weak descriptions, inconsistent variant mapping - you're invisible.
We've seen this play out across thousands of SKUs. The same pitfalls keep appearing:
- Blank attribute fields. Missing material, weight, dimensions, or color data means ChatGPT can't surface your product when someone asks a specific question.
- Generic titles. "Standard Coffee Table" loses to "Breville Barista Express Espresso Machine with Built-in Grinder | Brushed Stainless."
- Incomplete variant mapping. If your color variants aren't properly grouped, ChatGPT shows the wrong SKU. Or worse, it doesn't show your product at all.
- Missing Q&A content. When someone asks "Is this waterproof?" or "Does this run true to size?" and your feed doesn't contain structured answers, you're out of the conversation.
Every one of these gaps is an opportunity your competitors capture instead.
What Merchkit actually fixes
This is where the Walmart integration becomes more than just a marketplace play. Because Merchkit doesn't just syndicate your catalog to Walmart. It optimizes your product data for AI-first shopping.
Here's what that looks like:
Complete attribute enrichment. Merchkit scans your existing product data and fills in missing fields automatically. Material, weight, dimensions, size systems - all populated using AI that pulls from manufacturer specs, PDPs, and structured product knowledge.
Titles and descriptions built for conversational search. Merchkit generates content that answers the questions people actually ask. Not just "leather sofa", but "genuine leather sectional sofa with chaise, 85 inches, pet-friendly, easy assembly."
Variant mapping that actually works. Every SKU is correctly grouped by item_group_id. Color and size attributes are standardized. ChatGPT knows exactly which variant to show when someone asks for "size 11 in navy."
Structured Q&A content. Merchkit automatically generates FAQ-style content based on your product specs, customer service data, and common queries. When ChatGPT evaluates relevance, you have signal where competitors have silence.
Image optimization for AI carousels. Square, high-resolution hero images with no text overlays. Lifestyle shots that provide context. Images that render correctly when ChatGPT surfaces your products in a card view.
The result? Your products don't just meet Walmart's spec. They meet the OpenAI product feed spec, the framework ChatGPT uses to decide which products to surface and recommend.
The window is open, but it won't stay open
Right now, most brands are still trying to figure out what AI shopping even means. They're not optimizing for it. They're not structuring their feeds for it. They're not even thinking about it.
That gives you a window.
Within the next 6-12 months, your competitors will catch up. They'll fix their feeds. They'll enrich their data. They'll start owning the product cards you're losing today.
It’s time to move. Get your catalog into ChatGPT-ready shape before everyone else does, and capture market share while the channel is still wide open.
What to do next
If you're already selling on Walmart, this is straightforward. Connect Merchkit, let the system audit your catalog, and watch it auto-fix the gaps that are keeping you invisible.
If you're not on Walmart yet, now's the time. The combination of Walmart's marketplace scale and OpenAI's shopping layer creates a distribution opportunity that didn't exist six months ago.
Either way, the first step is the same: get your product data in order.
The race is on. Let's make sure you win it.
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