Context
McKinsey published June 2026 consumer survey findings across 11 markets, reporting substantial AI shopping adoption and stronger self-reported purchase influence from AI search than conventional search among surveyed AI users.
What changed
A newly published cross-market survey of approximately 21,000 consumers separates AI-assisted product discovery and purchase influence from AI-executed transactions. Among weighted respondents, 53% reported using AI for shopping in the prior three months; in a separate recent-purchase subsample, AI users were 3.2 times more likely to name AI search than traditional search as the biggest purchase influence.
Why it matters
AI commerce measurement must distinguish being found and influencing decisions from completing transactions. The report provides an observational benchmark for consumer-reported AI discovery behavior across markets, not a measurement of search-engine rankings or causal referral conversion.
Visibility OS interpretation
Visibility OS interpretation: AI product discoverability and purchase attribution are distinct stages. The survey supports measuring awareness, recommendation influence and checkout separately; it does not prove that AI citations or listing changes cause sales.
What remains uncertain
How do self-reported behaviors compare with observed clickstream and transaction data? How do different question denominators and market weights affect cross-market comparability? Which platforms contribute to actual product referrals, and how much selection bias affects reported purchase influence?