Marketing & Sales · Web app
Reach by Artificial Societies
Simulate your LinkedIn audience to test and optimize posts pre-publish
Reach is a pre-publishing testing tool built on Artificial Societies' behavioral simulation engine. It generates 100 variants of a drafted LinkedIn post and tests them against simulated personas to predict engagement and select the top-performing versions.
What it's for
- Test LinkedIn post variants before publishing to maximize reach
- Predict reaction counts and engagement across target audience demographics
- Identify weak copywriting angles before posting publicly
Features
- Audience simulation using behavioral AI personas
- Automated generation of up to 100 post variations
- Reach and reaction prediction metrics
- Selection and ranking of the top three best-performing post variants
- Distribution slider to analyze response spreads
Details
- Type
- Web app
- Category
- Marketing & Sales
- Topic
- Social Media Simulation
- Open source
- No
- Platforms
- Web
- For
- LinkedIn creators, marketing teams, founders, and corporate comms professionals
- Alternative to
- Taplio, AuthoredUp
- Tags
- linkedin, ai personas, audience simulation, content testing, copywriting
Why it was saved
- @ycombinator: Lets you A-test LinkedIn posts pre-publish and predict reactions from a simulated audience instead of guessing.
Related
A six-step outbound outreach framework using actionable blueprints instead of demo requests.
AI marketing workspace that turns websites and docs into multichannel campaigns
Curated marketing and growth skills for Claude Code and coding agents.
A qualitative research framework to turn customer interviews into high-converting ad copy.
Checklist and teardown of common conversion mistakes on AI SaaS landing pages
Checklist of 18 trust signals to improve website About pages for SEO
Updated