Skip to content

Most marketers are making or planning changes to performance measurement for the AI web, mainly tracking brand visibility and citations in AI tools

Performance measurement



AI's impact on planning and measurement approaches: current/planned changes to performance measurement for the AI web

AI's impact on planning and measurement approaches: current/planned changes to performance measurement for the AI web
ChangeShare of respondents (%)
Measuring brand visibility/citations in AI tools48%
Using branded search/direct traffic as proxies44%
Using 3P AI-driven discovery analysis tools40%
Monitoring AI platform interactions/referrals31%
Increasing use of incrementality tests30%
Using modeled measurement (probabilistic)30%
Refining fraud detection for legitimate agents28%
Placing less weight on website traffic26%
Establishing direct AI-platform partnerships23%
Using consumer surveys or self-reported data21%
Reader Note:
Measuring visibility in AI tools and using search/direct proxies are the leading changes.
Evidence:
Stated intention
Vendor interest:
Moderate — This comes from a company with a commercial interest in this market, so it is not a neutral source.
Sample:
Email survey of 211 U.S. buy-side ad investment decision-makers, primarily at agencies (52%) and brands (44%); fielded July 17-31, 2026.

Good for

Reading the mood, and deciding what to test yourself.

Not for

  • Predicting what people will actually do. Intentions and behaviour come apart.
  • This is an aggregated or average number that covers very different cases. Real results in a particular segment may differ.
  • 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.

Coming soon

This feature isn’t available yet.