Human vs AI testing
Run the same A/B decision through human respondents and controlled AI evaluator panels, then compare the signal.
Create your survey for free, then choose a paid results plan before you publish and collect responses.
Why it helps
A split signal can be more valuable than a winner because it shows where machine interpretation diverges from customer preference.
When to use it
Use a combined test when both customer preference and machine interpretation affect the decision—for example, product content that must persuade a buyer while remaining clear to recommendation agents. Human and AI samples should be reported separately.
Example
Run the same product-page comparison with a defined human audience and a declared panel of AI evaluators. Compare preference share, reasoning, and disagreement without averaging the two groups into a single synthetic score.
Interpretation
Agreement can increase confidence that one version communicates clearly across audiences. Disagreement is often more informative: it identifies language or evidence that machines and people interpret differently. An evaluator benchmark does not guarantee third-party AI rankings.
Start with what you have
