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AI-powered search is used most at the very start of a purchase: 73% use it to learn about a category, against roughly 60% at consideration and decision stages

Channel validation



AI-powered search usage by purchasing journey stage: share of respondents using AI-powered search — by purchasing journey activity, Aug 2025 (%)

AI-powered search usage by purchasing journey stage: share of respondents using AI-powered search — by purchasing journey activity, Aug 2025 (%)
ActivityShare of respondents (%)
Awareness: "Learning broadly about a category, or about brands, products, or services"73%
Awareness: Planning for a trip or special occasion53%
Consideration: Explaining features or technical specifications60%
Consideration: Generating personalized recommendations57%
Decision: Comparing specific products and/or services61%
Decision: Summarizing reviews for specific products or features60%
Reader Note:
From Exhibit 1, built on the AI Discovery Survey rather than the marketer surveys the article also cites. The stage-by-stage shares are read off the exhibit; the article gives no table of exact values.
Evidence:
Self-reported behaviour
Vendor interest:
High — This comes from a company with a commercial interest in this market, so it is not a neutral source.
Sample:
Mixed source. The article combines several McKinsey surveys and case examples, including an AI Discovery Survey (August 2025, n=1,927), a McKinsey Global Survey on marketers (March 2026, n=521), and a McKinsey Global Survey on marketing executives (May 2026, n=26). Selection details are not disclosed in the article.

Good for

A rough sense of size and direction, and deciding what to look at first.

Not for

  • Exact numbers, or saying that one thing caused another.
  • This comes from a company with a commercial interest in this market, so it is not a neutral source.
  • The source says how much it looked at, but not how any of it was chosen.
  • The source never says how this number was measured.

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