AI is transforming how consumers discover and choose products. Bazaarvoice research shows that 79% of shoppers are expected to use AI-enhanced search this year, whether through chat interfaces or AI-generated summaries embedded in traditional search results. As discovery becomes faster and more conversational, shoppers are increasingly relying on AI to narrow options and guide decisions across categories.
But faster discovery doesn’t always mean better decisions. The past holiday season made that clear: while 75% of purchases occurred online, shoppers were nearly five times more likely to experience regret compared to in-store buyers. In an environment shaped by tighter budgets and heightened price sensitivity, convenience without confidence can quickly lead to impulse purchases shoppers wish they’d reconsidered.
Looking ahead to 2026, brands that focus solely on speed and frictionless checkout will struggle. The next wave of e-commerce growth will be led by brands that pair AI-driven discovery with trust, transparency, and the signals shoppers need to feel confident saying “yes” the first time.
AI is Reshaping How Customers Search
Across product categories, from high-engagement electronics to lower-consideration accessories: AI amplifies the signals it’s given. High-quality signals lead to smart decisions.
Traditional keyword-driven search forced shoppers to compress intent into a few words. AI now enables broad, natural-language queries, letting shoppers explore and compare before even knowing exactly what they want. But broader intent requires richer signals via real-world experience captured in ratings, reviews, and Q&A. Brands that invest in these authentic signals earn visibility in AI-driven discovery, while those relying solely on SEO or keywords risk falling behind.
Consider a shopper searching for a “quiet vacuum for a small apartment with pets.” An AI tool knows to pull from detailed sources mentioning noise level, square footage, pet hair pickup, and durability over time. Products backed by verified reviews with photos and real-world context surface first. Those without that depth of feedback are filtered out entirely, regardless of brand recognition or ad spend. In this scenario, visibility isn’t driven by which brand markets the best, but by which is most accurately represented by their customers.
This shift matters because AI-driven search fundamentally changes what products get surfaced. The best signals come from context. Unlike traditional keyword search, AI relies on these contextual signals to interpret intent and evaluate options
Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb
Research from Yale and Columbia shows that ratings and reviews don’t simply influence purchase decisions — they also shape product visibility. Their findings highlight that review volume and average rating play an outsized role in how products surface and are evaluated in digital environments. As AI-powered shopping tools increasingly guide discovery, brands with a strong base of authentic customer reviews are more likely to appear in recommendations, while those with limited or weak review signals risk becoming less visible to prospective buyers.
High-quality reviews also address one of retail’s biggest challenges: regret. Detailed feedback, photos, and videos give shoppers confidence before they buy, reducing impulse purchases and increasing satisfaction. In fact, new research found 59% of shoppers consider reviews extremely important, 71% prefer reviews with visual content, and while roughly 45% are open to AI-generated summaries, that trust depends on access to the unedited, original reviews beneath them.
In short, consumers want the efficiency of AI, but they demand authenticity. And in AI-driven commerce, authentic user-generated content is foundational.
Trust Is Built on Authentic Content
Success is measured in lifetime value, credibility, and repeat purchase behavior – not just holiday sales or quarterly revenue. UGC is always on. And that’s why companies embracing authentic content can use AI as a force multiplier for engagement, trust, and long-term customer value.
But here’s the catch: AI recommendations aren’t inherently trustworthy. They reflect the quality of the data they ingest. That’s why content integrity is critical and requires intentional systems, including robust moderation and verification, to ensure reviews are legitimate and reflective of real experiences. Once content becomes authentic and diverse, consumers can trust AI as a credible shortcut to the right product. Without that foundation, brands risk misleading shoppers.
The bottom line: AI isn’t inherently a “spend more” or “save more” tool. It amplifies the signals it receives. For marketers, investing in authentic, high-quality, contextual content is no longer optional. For shoppers, AI is a guide to smarter, faster, and more confident decisions, but not a replacement for judgment.
In the age of AI search, the brands that thrive will let customers’ voices speak for them, ensuring the signals feeding AI are credible, comprehensive, and trustworthy. For consumers, the takeaway is simple – use AI to make better decisions, but always double-check that guidance reflects real-world experience. Companies and shoppers alike can mutually benefit from AI search by adapting responsibly, embracing authenticity, and meeting each other where discovery is happening.
Marketing Technology News: Martech Architecture For Small Language Models: Building Governable AI Systems At Scale