Industry surveyInteractive Advertising Bureau, Sep 2026
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
| Change | Share of respondents (%) |
|---|---|
| Measuring brand visibility/citations in AI tools | 48% |
| Using branded search/direct traffic as proxies | 44% |
| Using 3P AI-driven discovery analysis tools | 40% |
| Monitoring AI platform interactions/referrals | 31% |
| Increasing use of incrementality tests | 30% |
| Using modeled measurement (probabilistic) | 30% |
| Refining fraud detection for legitimate agents | 28% |
| Placing less weight on website traffic | 26% |
| Establishing direct AI-platform partnerships | 23% |
| Using consumer surveys or self-reported data | 21% |
- 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.




