Study finds AI engines recommend grocery store brands nearly twice as often as national brands

AI search engines recommend store brands nearly twice as often as national names. This compounds a private label market that hit $282.8 billion in sales.

Categorized in: AI News PR and Communications
Published on: Jul 16, 2026
Study finds AI engines recommend grocery store brands nearly twice as often as national brands

A new study from 5W AI Communications shows that AI answer engines recommend grocery store brands nearly twice as often as national CPG brands, a finding that reshapes how communicators should think about brand visibility. The grocery edition of The Private Label AI Advantage, published July 14, 2026, found that store brands averaged a Citation Share of 44, compared with 23 for national brands - a 1.9× gap. The research is the first of a five-part series spanning grocery, e-commerce, pet, pharmacy, and supplements.

Store brands dominate AI citations

Trader Joe's (78) and Kirkland Signature (74) lead the entire index, ahead of Cheerios, Oreo, Heinz, and every billion-dollar CPG name in the set. Eight of the ten most-cited grocery brands are store brands. Good & Gather, a Target brand launched in 2019, already out-cites Cheerios, demonstrating that a well-built store brand can reach parity with century-old national brands in under a decade. National brands such as Tyson, Philadelphia, Frosted Flakes, Hellmann's, and Campbell's landed in the bottom third, often serving as the comparison point for a store-brand recommendation rather than the recommendation itself.

Platform choice shapes the gap

The citation advantage varies by platform. Perplexity, which draws heavily on Reddit and community content, showed the widest gap at +32 points in favor of store brands. Google AI Overviews - inheriting decades of national-brand SEO authority - was the narrowest at +10 points, but still tilted toward store brands. Every engine studied is moving toward the same pattern.

The memory era vs. the answer era

U.S. private label sales reached a record $282.8 billion in 2025, capturing 21.3% dollar share and growing nearly three times as fast as national brands. AI is not creating the private label surge, but compounding it. Ronn Torossian, founder and chairman of 5W, said: "National CPG brands optimized for the memory era. Store brands - almost by accident - built exactly the content footprint the answer era rewards. Unaided awareness is a memory metric. Citation Share is a retrieval metric. They are no longer the same thing - and the gap is widening."

Why this matters for PR and communications professionals

For PR and communications teams, the study signals that traditional brand-awareness metrics no longer guarantee visibility in AI-driven search. Answer engines reward a different kind of content footprint - one that store brands have inadvertently built. Professionals can learn to apply generative engine optimization and AI-aware content strategies through resources like the AI Learning Path for Public Relations Specialists. The full grocery study, including a six-category breakdown and a GEO playbook for national CPG brands, is available at 5wpr.com.


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