Reader Simulator

Get feedback from diverse reader personas before publishing

AI-Powered
Persona Feedback
Reader Engagement

What It Does

The Reader Simulator uses AI to generate feedback from multiple reader personas—critique partners, casual genre fans, literary critics, or target demographic readers—giving you a preview of how different audiences might respond to your manuscript.

It simulates reader reactions, engagement hotspots, confusion points, emotional responses, and overall impressions. Perfect for writers seeking beta reader-style feedback without the wait, or who want to test how their story lands with specific audience types before sending it to real readers.

How to Use It

1

Select Your Project

Choose the manuscript or chapter you want reader personas to review.

2

Choose Reader Personas

Select which types of readers you want feedback from:

  • Genre Fan: Casual reader who loves your genre's conventions
  • Critique Partner: Writing-savvy reader focused on craft
  • Literary Critic: Analytical reader evaluating themes and style
  • Target Demographic: Reader matching your ideal audience profile
  • Picky Reader: Hard-to-please reader who notices everything
3

Select AI Model

Choose your AI tier for persona depth and nuance.

  • Tier 1: General impressions and basic feedback
  • Tier 2: Nuanced reactions with specific examples
  • Tier 3: Deep character-consistent feedback with emotional journey tracking
4

Run Simulation

Click "Simulate Readers" and the AI generates persona feedback. Analysis time: 60-180 seconds.

5

Review Persona Feedback

Explore feedback from each reader persona:

  • Overall Impression: Would they keep reading? Would they recommend it?
  • Engagement Hotspots: Scenes that grabbed attention and held interest
  • Confusion Points: Moments where the reader got lost or disengaged
  • Emotional Responses: How the story made them feel at key moments
  • Character Reactions: Which characters resonated or fell flat
  • Improvement Suggestions: Persona-specific advice for revisions
6

Refine Based on Feedback

Use persona insights to strengthen weak areas and confirm what's working before sending to human beta readers.

Estimated Credit Usage

Credit consumption per reader persona based on manuscript length:

Short Story

~5,000 words

Tier 1:~1,400 credits
Tier 2:~2,800 credits
Tier 3:~5,600 credits

Novella

~20,000 words

Tier 1:~5,500 credits
Tier 2:~11,000 credits
Tier 3:~22,000 credits

Novel

~80,000 words

Tier 1:~18,000 credits
Tier 2:~40,000 credits
Tier 3:~80,000 credits

Pro Tip

Start with 2-3 personas on your opening chapters to gauge early impressions, then run full manuscript with 1-2 key personas.

Best Practices

Use Early and Often

Run Reader Simulator on your first three chapters before writing the full manuscript to catch engagement issues early.

Mix Persona Types

Combine a Genre Fan (for marketability) with a Critique Partner (for craft) to get balanced feedback.

Don't Replace Human Readers

Reader Simulator is a pre-screening tool, not a replacement for beta readers. Use it to polish before sending to real humans.

Look for Consensus

If multiple personas identify the same confusion point or engagement drop, prioritize fixing that in your revision.

Ready to Hear From Your Readers?

Get instant feedback from diverse reader personas and strengthen your manuscript before beta reading.