CAPTION TESTING
See whether your caption explains the moment.
Describe the image in shared context. Compare a literal caption with a benefit-led caption, then check whether either adds unsupported detail.
Example messages.
Image: a volunteer planting a young maple along a sidewalk during a neighborhood tree planting day on Elm Street, where 30 trees were planted.
Thirty new trees went in along Elm Street today. Thanks to every volunteer who showed up.
More shade on Elm Street as these grow. Thirty trees planted today by neighborhood volunteers.
Run a clear comparison.
Use the same audience and product facts for both versions. Choose a question before running: clarity, credibility, interest or preference.
Head-to-head mode shows both texts together. Independent mode scores each separately against the same scale, then compares the scores for each profile.
What the results mean.
The current study evaluates supplied text, not image recognition or visual appeal.
The survey supplies observed profiles. AI generates the reactions to your text. The included records are unweighted, and the results are not responses collected from people.
Frequently asked questions
How do I start?
Try a free study or open Studio to choose your audience. Paste both texts, add relevant context and run the study.
What should I do with a close result?
Inspect individual responses and revise the contrast. Small score differences are not a significance test. Use real audience feedback or a live experiment to validate consequential decisions.