Synthetic Users for Social Media Testing
Synthetic users are AI-generated personas that read, react to, and critique your posts the way a real audience would — so you can A/B/X test content before it goes live.
No focus groups, no waiting for engagement data. Generate an audience in minutes and score every post variant.
What are synthetic users?
Synthetic users are AI-generated audience members built to simulate how real people respond to social media content. Each one carries a name, a background, interests, and a personality — the same signals that shape a real person's reaction to a post.
In Opinome, a synthetic audience is a group of these personas. When you publish a draft post, every synthetic user reads it and produces a reaction: attention, like, comment, share. Aggregate those reactions across the audience and you get a measurable, repeatable score for each variant — before anything reaches your real followers.
How synthetic users work
Build a synthetic audience
Describe the account or persona you post for. Opinome generates a roster of synthetic users with names, locations, interests, and declared identities that match that audience.
Run each post variant past them
Upload two, three, or more versions of a post. Every synthetic user reads each variant and reacts as a member of that audience would.
Read the score and commentary
Reactions are aggregated into engagement metrics per variant, plus an AI commentary that explains which version won and why — in the language your audience speaks.
Why test with synthetic users
Test before you publish
Catch weak hooks and underperforming variants before they reach your real followers.
Repeatable, not random
The same audience scores every variant, so comparisons are consistent run to run — unlike live engagement data.
Built for your niche
Synthetic users are generated for the account you actually run, not a generic demographic.
Reactions in their language
Each persona reacts in their native language and is translated to yours, so commentary reflects real audience behaviour.
What creators use synthetic users for
A/B/X post testing
Compare two, three, or more variants of a post and ship the one the audience prefers.
Hook and caption tuning
Test different openings and copy to see which holds attention before launch.
Creative direction
Validate visual and tone choices against the audience you're trying to reach.
Synthetic users, explained
Test your next post with a synthetic audience