Know which headline wins before you spend traffic on it.
Stage
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Founded
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Based in
CH
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Pricing model
Freemium
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Pricing
Free tier available; Plus and Ultimate paid plans with credit system (1 credit per 100 words). One-time packages and monthly subscriptions available with money-back guarantee within 14 days.
Free: $0/month with 5 rankings and 60 Claude-written options monthly. Creator: $19/month with 100 rankings and 2,500 options. Pro: $49/month with 600 rankings and 6,000 options. Agency: $149/month with 3,000 rankings and 20,000 options.
Key features
Paper analysis with scoring across multiple dimensions
Plagiarism detection and AI-written text identification
Citation style and consistency checking
Logical error and argumentation analysis
Grammar, spelling and inclusive language errors
Bibliography verification against trusted databases
Custom requirements upload for university-specific guidelines
Prioritized to-do list for revisions
Defense Studio with voice practice and recorded sessions
Page-by-page feedback with inline corrections
Head-to-head comparison of up to 200 variants
Bradley-Terry model ranking with calibrated odds
Honest uncertainty verdicts: Clear, Lean, Too close to call
Brand profiles to calibrate accuracy on your audience
Works for YouTube titles, subject lines, ad headlines, and article headlines
Accuracy measured on 9,841 held-out A/B tests
What makes it different
Feedback typically delivered within 5 minutes using parallel processing
Comprehensive analysis across structure, logic, language, citations and plagiarism
Data protection with no training on user documents and user-controlled deletion
Money-back guarantee within 14 days if unsatisfied
Trusted by over 5000 students and universities globally
82% accuracy on clear calls, trained on thousands of real A/B tests never seen during tuning
Honest about uncertainty instead of always crowning a winner
56 times cheaper than Claude Sonnet while maintaining comparable accuracy
Custom calibration to your audience's behavior via brand profiles
Compare versions in both orders to cancel out model bias
PaperCheck
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