SimAudience
Compare messages.
Choose your audience.
Explore how simulated AI-driven demographic groups could respond to your next idea.
Modeled responses · illustrative footage
Choose an audience.
Filter observed profiles by age, education, earnings and recorded activities.
Compare your drafts.
Ask for a head-to-head preference or score each message separately.
Inspect the differences.
See individual outputs, compare included age groups and export your study.
See a comparison take shape.
Two messages. One audience. Responses as they arrive.
HOW IT WORKS
AI responses.
Real demographic data.
We link public data to build audience groups. AI estimates how each profile could respond to your messages.
Use the comparison to guide your next test. These are simulated responses.
Our approach →
What are you working on?
Start with the words you need to test.
Social
X / Twitter A/B testing↗LinkedIn A/B testing↗LinkedIn post testing↗Instagram caption A/B testing↗Facebook post A/B testing↗TikTok hook testing↗Reddit post title testing↗Truth Social post testing↗YouTube hook testing↗Test a tweet before posting↗Organizations
Donor message testing↗Public communication clarity↗Nonprofit message testing↗Press release headline testing↗Product
Marketing message testing↗SaaS message testing↗Ecommerce copy testing↗Product launch message testing↗Workflows
Message testing for social media managers↗A testing tool for copywriters↗Message testing before launch↗Audience simulation for creators↗Copy
Headline A/B testing↗Call to action testing↗Tagline testing↗Caption testing↗Audience simulation for short-form copy↗Frequently asked questions
Can I try it with my own messages?
Yes. Start with guest credits in Studio. Choose your demographic filters and activities, then compare your messages with up to 100 profiles per study.
Are these responses from real people?
No. The underlying demographic and activity records come from a real survey. Responses to your messages are modeled and have not been validated as predictions of those respondents’ views.
Is this a representative poll?
No. Results describe the included profiles without survey weighting. They are exploratory comparisons, not national estimates or forecasts of purchases.