Meta Muse and AI shopping: what it means for your e-commerce store

Meta Muse has passed 10 million users, and CEO Mark Zuckerberg has said that shopping is its main use case. If you sell online, this AI agent, a digital assistant that buys on the user's behalf, is already changing the rules of the game.

Should I add Meta Muse to my e-commerce strategy, or is it better to wait?

If you run an active online store, the time to evaluate is now: Muse is already live, Shopify products are already there by default, and the brand partners are big names. Waiting means losing ground.

Meta Muse is an AI agent, a digital assistant that doesn't just recommend products but can complete a purchase on the user's behalf. Zuckerberg presented it as Muse's main use case on the third-quarter 2026 earnings call, reported by Social Media Today.

For an Italian e-commerce business, the question isn't whether this will change anything. The question is when and how much.

What is Meta Muse really, and how does shopping work?

Muse is Meta's AI agent that chats with the user, understands what they're looking for and can complete a purchase without leaving the app. It's not a search engine: it's an assistant that decides and acts.

Imagine a customer opens Instagram and types: "I'm looking for a gift for my sister, budget 80 euros, she loves running." Muse analyzes the request, browses the available product catalog and suggests, or directly buys, whatever fits the profile. All without opening a browser or visiting a website.

According to TechCrunch, Muse has already passed 10 million users, and about 25% of those who have set it up use it every day. A quarter of active shopping users recorded an average purchase value above 200 dollars.

This isn't a closed beta test. It's a channel that's already live, with real users spending significant amounts.

Who are the brand partners so far, and what does the list tell us?

Meta has announced agreements with eleven international retailers. The list says a lot about where Muse is headed: fashion, beauty, sports, home furnishings, electronics.

According to SmartScope, the announced brand partners include Walmart, Gap, Sephora, Expedia, Wayfair, Best Buy, American Eagle Outfitters, DICK’S Sporting Goods, Fanatics, Michael Kors and Ulta. They're all English-speaking-market names, but the signal is clear: Meta is building a large-scale direct-purchase ecosystem.

For Italian SMEs, the path doesn't run through big direct deals. It runs through the Shopify integration and product catalog optimization.

If I use Shopify, are my products already on Muse?

Yes, by default. Shopify has integrated Shop Pay with Meta Muse, and the product catalog is automatically available to all eligible merchants, at no extra cost beyond standard fees.

This is the most concrete news for anyone running a Shopify store. As reported by RetailBoss, Shopify has connected its product catalog to Meta Muse through Shop Pay. Products from eligible Shopify merchants appear on Muse with no extra setup.

"Eligible" means: an active store, an up-to-date catalog and complete product pages. If your catalog has incomplete descriptions, low-quality images or outdated prices, Muse may skip your products in favor of your competitors'.

The integration is free, but visibility isn't: it depends on the quality of the data you provide. The same principle applies to Google Shopping and its new image rules: catalog quality comes first.

What changes in practice for paid social campaigns?

Muse doesn't replace Meta Ads campaigns, but it adds a new layer: the AI agent can reach users before they see your ad, or amplify the effect of a campaign that's already running.

Until now, Meta campaigns worked like this: you show an ad, the user clicks, lands on your site, (maybe) buys. With Muse, the journey can change: the user asks Muse for a product, Muse finds it in your catalog, and the user buys without ever visiting your site.

This has two direct implications. First: your product catalog becomes a marketing asset as important as your ad creatives. Second: metrics change. You can't just measure site traffic; you also need to track agentic conversions (those generated by the AI agent).

If you run campaigns on Meta, you need to update your approach. The topic of AI agents in the customer journey is already central: Muse is the first concrete case at mass scale.

Three real-world scenarios: what changes for a fashion store, a perfume shop and a furniture store?

Muse's impact varies by industry and average order value. Here are three typical Italian cases to show where the advantage is most immediate.

The numbers that follow are illustrative examples : they're just here to show how the math works, not real customer data.

There's a trust problem: do users really trust an AI that buys for them?

No, not yet. 42% of consumers don't trust any company to manage an AI agent that spends money for them. But those who build trust now will have a huge advantage 18 months from now.

The most surprising finding doesn't come from Meta, but from independent research. According to the Spreedly "State of Checkout 2026" survey (2,000 US adults), 42% of respondents answered "none" when asked which company they'd trust most to manage an AI agent that spends for them. Google leads among the companies named with just 13%. The full data is on the Spreedly blog.

Separate research by Checkout.com (June 2026) adds an even starker figure: 24% of consumers say they will never delegate purchases to AI. But the same study reveals that 72% of merchants believe consumers will adopt AI agent-driven shopping faster than merchants themselves are ready to handle it.

Trust is built through transparency: clear return policies, up-to-date prices, verified reviews. These are the same elements that make a catalog perform well on Muse too.

Why it's in the news now: is the Italian e-commerce market really ready?

Italian e-commerce is growing steadily, and there are already 35 million digital consumers. The ground is fertile, but AI shopping penetration is still low: if you move now, you gain a real advantage.

The B2C eCommerce Observatory of Politecnico di Milano and Netcomm certified that in 2025 B2C product e-commerce in Italy reached €40.1 billion, with over 91,000 active companies. In 2026, according to aggregated data reported by Reshark, Italians' online purchases exceeded €66.6 billion.

A market of this size, with 35 million digital consumers, is exactly the pool Meta is targeting. Online penetration of total retail stands at 11.2%: there's still plenty of room to grow, and AI agents like Muse are one of the engines expected to speed it up.

The topic ties in with what's happening on other channels: Shopify and AI channels are already reshaping automated distribution for e-commerce, and Meta Muse fits into this broader picture.

How do you actually get started with Meta Muse for your store?

There are four clear steps, in the right order. You don't need extra budget to get started: you need clean catalog data and an updated measurement strategy.

What are the most common mistakes with new AI channels?

The three most common mistakes are waiting for the channel to be "mature," neglecting catalog quality and not updating your measurement metrics. All three come at a steep price.

Mistake 1: waiting. "I'll wait for it to settle" is the phrase that cost dozens of Italian SMEs their rankings on Google Shopping when the product listing format arrived. With Muse, those who arrive first build historical data that the algorithm rewards.

Mistake 2: a neglected catalog. Muse chooses which products to suggest based on the quality of the available data. A catalog with generic descriptions, small images or outdated prices gets overtaken by competitors with more complete listings. The same principle applies to the new Google Shopping image rules.

Mistake 3: measuring only site traffic. If Muse converts inside the Meta app, your Google Analytics won't see it. You need to set up agentic conversion tracking in the Meta dashboard and in Shopify Analytics, otherwise you're optimizing blind.

How do you know if Muse is delivering real results?

There are five metrics to monitor. The most important isn't traffic, but the agentic conversion rate and the average order value of orders generated by Muse.

So, is Meta Muse worth betting on for your business?

It's worth it if you have an active Shopify store, sell products with an average order value above €60, and already have a structured catalog on Meta. The channel is live, the integration is free, and competitors haven't moved en masse yet.

Somewhere in between if you're on a platform other than Shopify or your catalog needs restructuring. Start with a catalog audit and evaluate the integration within the next 60-90 days, no later.

Not yet if you only sell services, operate only in B2B, or have a catalog with fewer than 20 active products. Keep an eye on how Muse evolves, but it's not a priority right now.

How we see it at SHM

To us, Meta Muse is the first concrete, mass-scale example of what we call conversational commerce: a user talks to an AI agent and the agent buys. It's not science fiction. It has already happened 10 million times.

We believe AI should be integrated to free companies from routine and give time back, not to replace strategy. Muse doesn't eliminate the marketing manager's job: it shifts their focus from campaign budgets to product data quality. Those who grasp this difference now have a real advantage.

We've already worked with e-commerce stores that discovered, during a catalog audit, that 30-40% of their products had incomplete listings or substandard images. They weren't ready for Google Shopping, let alone for an AI agent. The starting point is always the same: clean data, clear structure, correct measurement.

If you want to understand where your e-commerce stands against these new channels, explore our services for strategic AI integration, Meta campaigns and SEO for AI. You'll find all our in-depth articles on the topic in our Marketing and ADV performance hub.

Also read how Meta launched a hub for brands and creators and how Amazon Alexa is tackling the issue of trust in AI shopping: they're two pieces of the same puzzle.

Frequently Asked Questions

The real competitive advantage isn't being on Muse: it's having a catalog so well structured that an AI agent chooses it over your competitors.