AI is becoming the first place where shoppers compare products, ask for recommendations, and narrow their choices before they ever visit a website. A recognizable brand alone is no longer enough to win online sales. That shift means smaller retailers with accurate product data, useful content, and strong customer value can compete alongside household names.
Research from Kantar, McKinsey, and other retail analysts points to the same trend: AI is moving buying decisions upstream, long before a shopper reaches a checkout page.
Now, people are asking ChatGPT, AI assistants, and other conversational tools questions like:
- "What's the best travel dress under $50?"
- “Which online store has quality fleece leggings?”
- "Where can I buy affordable women's fashion with free shipping?
Being the biggest brand doesn't automatically mean being the first recommendation anymore.
AI Is Shrinking the Path Between Question and Purchase
Kantar’s new AI-Enabled Commerce study describes this shift as AI "compressing discovery."
Instead of researching across multiple websites, consumers are using AI to compare prices and narrow product options before visiting a store or website. AI influences the consideration stage much earlier than traditional search.
McKinsey & Company’s 2026 retail report (“Shopping in the age of AI: Redefining stores for a new era”) says consumers are increasingly using AI for research, comparisons, and routine shopping decisions.
“Sixty-eight percent of US consumers report using at least one AI tool in the past three months.” Among AI users, 19% already use AI to discover or decide on brands, products, or services, according to a ConsumerWise survey.
This means businesses need visibility in two places:
- Traditional search engines
- AI-generated answers
Big Brands Lose Their Automatic Advantage
Large retailers still benefit from brand recognition. But that advantage simply isn't as automatic as it used to be.
AI evaluates information differently than traditional advertising. Product descriptions, reviews, pricing consistency, availability, and customer satisfaction all contribute to what gets surfaced.
McKinsey notes that “transparency and convenience are also major factors in shoppers’ behavior.” Consumers continue demanding transparency, convenience, and accurate information throughout the buying journey. AI systems depend on reliable data, which makes product quality and information quality increasingly connected.
If a smaller retailer provides:
- Better product information
- Helpful buying guides
- Competitive pricing
AI has far more reason to recommend it, and that creates opportunities that were much harder to achieve through paid advertising alone. McKinsey calls this the "new tech-driven path to purchase.”
Sales Coming From ChatGPT
Adobe Analytics tracked AI-referred traffic to U.S. ecommerce sites and found it up 4,700% year-on-year, driven largely by shoppers asking ChatGPT, Claude, and Gemini about the products they want before opening a browser tab at all.
Take ShopMinx, for example, an e-commerce store offering fashion, beauty, and wellness products.
Instead of depending entirely on paid ads or Google rankings, the company earns visibility through AI recommendations by publishing detailed product information. Now, ShopMinx sells products not only through Google search but also through AI recommendations.
If the AI identifies a relevant retailer like ShopMinx based on available product information, pricing, and product descriptions, that recommendation creates a completely new acquisition channel. This creates opportunities for any online store that invests in helpful content instead of relying exclusively on advertising budgets.
Kantar explains this with a simple observation: "AI is becoming the front door to commerce, but stores are still the final vote."
What Online Stores Should Do Now
Retailers don't need to rebuild their businesses around AI overnight. Several practical improvements make products easier for both shoppers and AI systems to understand.
- Write product descriptions that answer real customer questions.
- Use structured product data.
- Answer common questions before customers ask.
- Keep information accurate.
Conclusion
It's not your ad budget anymore; it's how well your product data answers the exact question a shopper typed. Retailers who treat AI as a new front door and their site as the room that closes the deal are the ones set up to win the next decade of online shopping.
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