Commerce is beginning to shift from websites and apps to AI conversations where product discovery, comparison, and checkout can happen in one place.
Platforms like Shopify are enabling merchants to sell directly through AI assistants such as ChatGPT, Microsoft Copilot, and Google Gemini. Customers are no longer starting their shopping journey on a website or marketplace.
They are starting by asking AI:
- “Find me a skincare routine for dry skin.”
- “What’s the best laptop under $1,000?”
- “Suggest a gift for a 5-year-old.”
For US retailers, this marks a major change in how customers discover products and how purchases occur. Here’s how it changes everything for e-commerce, digital advertising, and product discovery.
From Storefronts to Agent-Assisted Commerce
The companies that control AI commerce infrastructure will control the future of retail, and Shopify is positioning itself as the operating system for AI commerce.
Sharing an update on its website, Shopify wrote, “Agentic Storefronts give merchants out-of-the-box access to major AI channels—ChatGPT, Microsoft Copilot, AI Mode in Google Search, and the Gemini app—managed centrally from the Shopify Admin.”
“And, with the Agentic plan, now publicly available, brands not using Shopify for e-commerce can add products to Shopify Catalog to reach shoppers and sell across these same AI channels.”
In the traditional e-commerce model:
- Customers visit a website
- Browse products
- Add to cart
- Checkout
In an AI-assisted commerce model:
- Customers ask AI what to buy
- AI recommends products
- AI compares options
- AI completes the purchase
The shopping journey becomes conversational instead of navigational.
This shift has several implications for US retailers:
- Product discovery may move from search engines to AI assistants
- Product comparisons may become automated
- Checkout may happen inside AI interfaces
- Websites may function as fulfillment and brand experience hubs
Discovery May Shift From Search Engines to AI Recommendations
AI is powerful for shopping because it can understand intent instead of keywords, compare products and personalise recommendations.
Traditional digital advertising is mostly based on:
- Keywords
- Audiences
- Interests
- Retargeting
- Lookalike audiences
- Shopping ads
- Display ads
But AI discovery doesn’t work the same way as search engines.
Search engines show:
- 10 links
- Sponsored ads
- Shopping results
AI shows:
- A few recommendations
- Comparisons
- Explanations
- Suggested products
- Final recommendations
This means the future of advertising may shift from paying for clicks to paying for recommendations.
Instead of bidding on keywords like:
- “running shoes”
- “buy laptop”
- “best headphones”
Brands may want to influence AI when users ask:
- “Best running shoes for beginners”
- “Best laptop for students”
- “Best headphones for travel”
This could create a new category:
Recommendation Engine Optimisation (REO) or AI Commerce Optimisation (ACO)
How US Retailers Will Sell Inside AI Platforms
“Thousands of merchants are already selling in Microsoft Copilot,” Shopify wrote in its blog. “Shop Pay is also coming soon to Copilot, enabling buyers to complete purchases instantly, right where they’re already searching.”
On Google, select brands have started selling in AI Mode in Google Search and the Gemini app, powered by the Universal Commerce Protocol (UCP)—the open standard Shopify co-developed with Google.
New integrations allow merchants to list products, enable AI platforms to discover, recommend, and facilitate purchases without customers visiting the retailer’s website first. A typical flow could look like this:
- A user asks an AI assistant for product recommendations
- The AI searches structured product catalogs
- Products are recommended inside the chat
- The user purchases through in-app checkout or a merchant checkout
- The order flows back into the retailer’s commerce platform
For US retailers, in many of these models, the retailer remains the merchant of record and retains customer data, rather than losing the relationship to a marketplace.
Product Data Becomes the New Ad Creative
One of the biggest changes in AI commerce is how products are discovered.
For years, discovery has been driven by:
- Google search
- Amazon search
- Social media
- Paid advertising
AI assistants introduce a different model. Instead of showing pages of links, AI typically presents a small number of recommendations with explanations and comparisons. Instead of competing for search rankings or ad placements, retailers may compete for AI recommendations.
Here’s what they may need to focus on:
- Optimise product data for AI discovery
- Build strong product reviews and ratings
- Create educational and comparison content
- Strengthen brand recognition
- Track traffic and conversions from AI platforms
- Invest in first-party customer data
The role of advertising may shift from driving clicks to influencing product consideration and recommendation.
How This Impacts Advertisers and Brands
This shift matters because it changes how products are discovered, how brands grow, and how e-commerce works. Here’s what will change in the future:
1. SEO Will Change
Brands will need to optimise for AI answers, not just search rankings.
2. Product Feeds Become Critical
Structured product data becomes extremely important.
3. Reviews and Reputation Matter More
AI will likely recommend highly rated and trusted products.
4. Brand Recognition Still Matters
Users may ask AI for specific brands.
5. Content Marketing Evolves
Educational content that AI can reference becomes valuable.
6. Performance Marketing Will Change
Instead of optimising for clicks, advertisers may optimise for:
- AI mentions
- AI recommendations
- AI product comparisons
- Conversion via AI platforms
7. Marketplaces May Lose Some Ad Power
If discovery moves away from Amazon search to AI assistants, advertising budgets may shift.
What US Retailers Should Do Now
Retailers do not need to overhaul everything, but here are practical steps they can take to prepare businesses for AI-driven commerce:
- Improve product catalog data and structure
- Ensure pricing, inventory, and shipping data are accurate
- Invest in customer reviews and ratings
- Create clear product descriptions and specifications
- Build a strong brand reputation and customer trust
- Monitor traffic from AI platforms and conversational search
- Focus on product quality and differentiation
- Strengthen first-party customer relationships and retention
Retailers that already have strong product data, good reviews, reliable fulfillment, and clear positioning will likely adapt faster to AI-driven discovery.
Why This Matters for US Retail
This shift matters because it changes:
- How customers discover products
- Where purchases happen
- How retailers acquire customers
- The role of websites and marketplaces
- How digital advertising works
In the coming years, customers may:
- Discover products through AI instead of search
- Compare products through AI instead of marketplaces
- Purchase inside AI interfaces
- Interact with brands through conversational interfaces
Retailers that treat AI as a new sales and discovery channel, not just a customer support tool, will be better positioned as this shift develops.
Who Wins & Who Loses
Here’s how it impacts the e-commerce industry and product discovery:
Who Wins in AI Commerce
- Shopify
- Payment providers (Shop Pay, Stripe)
- Brands with strong reviews and data
- Logistics companies
- AI platforms
Who Might Lose
- SEO-only businesses
- Comparison websites
- Affiliate content sites
- Some marketplaces
- Brands with poor product data
Final Thoughts
AI may become the new shopping mall, the new search engine, and the new storefront, all in one interface. But behind the scenes, the real battle is for the infrastructure layer that powers every transaction. That is the layer Shopify is trying to own.
If millions of merchants can sell directly inside AI chats, then the entire e-commerce and advertising landscape will change.
In the future, brands may not fight for:
- The top Google search result
- The best Facebook ad placement
- The top Amazon-sponsored listing
They may fight to be the product that AI recommends first.
Need a fresh perspective? Let’s talk.
At 360 OM, we specialise in helping businesses take their marketing efforts to the next level. Our team stays on top of industry trends, uses data-informed decisions to maximise your ROI, and provides full transparency through comprehensive reports.
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