Know how readers react —
before you post a word
Every author guesses which hook will land. Stop guessing. The Audience Twin rehearses your book's hooks against a reader panel modeled on thousands of real readers — and tells you which caption stops the scroll, who it lands with, and exactly what makes readers hesitate. It's a focus group for your marketing, run in seconds, before you spend a post or an ad dollar.
Find the winning hook
Rank your captions head-to-head and lead with the one readers actually respond to.
Know who it's for
See which reader types lean in and which scroll past — so you aim at the right shelf.
Fix it before you post
Get the real objections readers raise, in their words, while you can still change the copy.
Test one hook, on the house
Paste a caption or blurb hook. We'll run it past a quick 7-reader sample and show you the reaction. The full version tests against a panel of thousands — but this gives you a real taste right now.
Free preview runs a small 7-reader sample. No signup needed to try it.
Lands with these reader types
What made a reader stop
Top objections to fix
Sample reader reactions (2 of 7 shown)
Quick sample
One hook · a 7-reader panel · instant gut-check.
- One caption at a time
- 7-reader snapshot
- Top objections + who it lands with
- Multiple hooks ranked head-to-head
- A panel of thousands of readers
- Feeds your ads & posts automatically
The full Reader Panel
Your hooks rehearsed against a panel of thousands of readers — one of the tools inside Perfect Year, your author command-centre.
- Thousands of readers, not seven
- All your hooks ranked head-to-head — post the winner
- Full objection & reader-segment report per hook
- Winner flows straight into your ads + organic posts
- Plus the whole Perfect Year toolkit — planner, launches & more
Hook Lab · Audience Twin by Authors AI · reader personas modeled on thousands of real readers across genres · directional guidance, not a guarantee.