Commerce AI has a measurement problem no one is talking about
Our take
The shift in consumer behavior described in this article isn't merely a trend; it represents a fundamental restructuring of the commerce landscape. The move from brand-owned websites as the primary starting point for purchases to AI platforms shaping initial consideration sets is profound. As Salesforce's research highlights, the decline from 82% to 38% in website-initiated commerce since 2014 underscores the speed and scale of this change. This mirrors broader conversations around the evolving role of search, with Google’s own AI-powered search experiences fundamentally altering how users discover information Google's AI Overhaul. The implications are clear: brands can no longer rely solely on traditional on-site analytics to gauge their true market position. The absence of data regarding consumers who *didn’t* reach a brand's website due to AI-driven recommendations creates a significant blind spot, one that jeopardizes strategic decision-making and competitive advantage. This echoes concerns around the limitations of current attribution models, which often fail to account for the full customer journey Marketing Attribution Challenges.
The core issue is the inherent opacity of AI answer engines. Unlike traditional search engine optimization (SEO), where ranking visibility provided a tangible signal for improvement, AI platforms operate as black boxes. The absence of a consumer in the consideration set is invisible to existing analytics tools. This lack of visibility creates a category of commercial loss that is difficult to quantify, let alone address. Rezolve Ai’s commissioned research, revealing that a majority of AI-assisted shoppers make purchase decisions directly from those recommendations, further emphasizes the urgency of the situation. The research suggests that by the time a consumer lands on a brand's website, the decision-making process may already be largely complete – or irrevocably lost. The industry’s focus on instrumentation for the journey *from* landing page *to* purchase has left a critical gap in understanding the journey *to* the landing page, particularly as AI mediates that initial discovery.
This necessitates a paradigm shift in how brands approach commerce measurement. Treating AI discoverability as a measurable discipline, rather than an assumption, is paramount. This requires a move beyond traditional marketing and commerce analytics to encompass infrastructure-level audits—assessing how brands are represented within AI systems, the language used to describe their products, and identifying areas of presence and absence. This isn't about chasing fleeting trends; it's about establishing a foundational understanding of how AI is shaping consumer perception and influencing purchase decisions. The emerging tools and frameworks promise to provide this visibility, but standardization remains a crucial hurdle. Brands that proactively invest in understanding and influencing their AI representation will gain a significant competitive edge in this rapidly evolving market.
Ultimately, the question isn’t whether AI will continue to mediate commerce discovery—it’s how effectively brands can adapt and gain visibility within this new ecosystem. As AI preferences solidify, the brands that prioritize understanding and shaping their AI representation will be best positioned to maintain relevance and thrive in the future. Will we see the emergence of specialized AI auditing firms, akin to SEO agencies of the past, dedicated to optimizing brand visibility within these platforms? And how will brands balance the need for influence with the potential for algorithmic bias and ethical concerns as AI increasingly dictates consumer choices?
Presented by Rezolve Ai
Most brands know something is shifting in how consumers find and choose products. What most don't know is how much of that shift has already taken place, where it's happening, or whether they're on the right side of it. That uncertainty is the problem. And the analytics stack most brands rely on isn't built to resolve it.
The decision layer has moved
In 2014, 82% of digital commerce started on a brand's website. By 2024 that had fallen to 38%, according to Salesforce research. The journey that used to begin at a brand's front door now begins somewhere else. Increasingly, it begins with a question asked of an AI platform and ends with an answer that shapes the purchase decision before any brand-owned touchpoint is engaged.
Consumers are asking AI where to shop, what to buy, and which product is right for them. Bain research shows that four in five consumers rely on zero-click results at least 40% of the time. That means the shortlist a consumer receives from an AI answer engine is, in many cases, the only shortlist they consult. Adobe Analytics recorded over 800% year-over-year growth in AI-driven traffic to retail sites, a signal of how rapidly AI platforms are inserting themselves between brands and their customers.
This is a structural shift, not a trend. And it has created a category of commercial loss that most analytics tools are architecturally incapable of detecting.
What you can't see is costing you
The gap is this: a brand can have strong onsite conversion metrics and still be losing significant ground in the market, because the customers who never arrived aren't captured in any dashboard. There's no "AI excluded you" event in a session log. There's no abandoned cart entry for a shopper who was told by an AI assistant that a competitor was the better fit.
This is different from the SEO problem brands have managed for two decades. With traditional search, absence had a visible signal. You could see your ranking, audit the gap, and act on it. With AI answer engines, absence is invisible by default. The surface doesn't show you what it didn't show the consumer.
Sixty percent of searches now end without a click, according to Semrush's 2025 zero-click study. For AI-mediated discovery, that number is structurally higher. The answer is the destination. If a brand isn't in the answer, it isn't in the consideration set, and its analytics will never surface that fact.
The metric that isn't being measured
The commerce industry has developed sophisticated instrumentation for the journey from landing page to purchase. It has essentially no instrumentation for the journey from consumer intent to brand discovery, the layer where AI is now operating.
Brands that want to understand their actual competitive position in an AI-mediated market need to ask a different set of questions: How does my brand appear when consumers ask AI for recommendations in my category? What language does AI use to describe my products? Where am I present, where am I absent, and where am I being described in ways that don't reflect my positioning?
These aren't marketing questions. They're infrastructure questions. And answering them requires a different kind of audit than anything in the current commerce or marketing toolkit.
Rezolve Ai commissioned research across 1,500 US consumers in January 2025 that found the majority of shoppers who use AI for product research make purchase decisions directly from those AI-generated recommendations, without returning to a search engine or brand site to verify. The implication for brands is significant: by the time a consumer reaches a brand's owned properties, the decision may already have been made, or unmade, somewhere else.
What comes next
The brands that will maintain commercial relevance as AI mediates more of the discovery layer are those that develop visibility into it, not just presence on their own platforms. That means treating AI discoverability as a measurable discipline, not an assumption, and building the infrastructure to understand, track, and influence how AI systems represent them to consumers.
The tools to do that are emerging. The measurement frameworks are not yet standardized. But the brands that begin building that visibility now will have a structural advantage as the market continues to shift.
AI answer engines are already forming preferences. Every day without visibility is a day those preferences solidify without you.
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