AI recommendation testing

See which option AI evaluators would recommend.

Run controlled evaluator panels against two alternatives and keep model/protocol provenance attached to the result.

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Create your survey for free, then choose a paid results plan before you publish and collect responses.

Why it helps

Make the decision smaller.

Use the result as a controlled benchmark, not a claim that any third-party model will behave identically.

When to use it

Match the method to the decision.

Use this workflow when two concrete alternatives are ready to compare and the decision criterion can be stated clearly. Define the intended audience before collecting responses and keep everything except the alternatives consistent.

Example

Ask a question you can act on.

Present both options with equal context, ask one focused question, and collect enough responses to understand both the leading choice and the amount of disagreement in the sample.

Interpretation

Know what the winner means.

The result reports preference within the completed study. It is directional evidence rather than automatic proof of conversion lift, causation, market-wide demand, or future commercial performance.

Start with what you have

Two options are enough to begin.

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