Know which headline wins before you spend traffic on it.
Stage
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Founded
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Based in
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Pricing model
Paid
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Pricing
Starter: $39/month with 250 monthly credits and one site. Pro: $79/month with 750 monthly credits and unlimited sites. Top-up credits cost $0.15 each and start at 250 credits.
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
Keyword and topic research grounded in live search data
AI article writing in multiple formats (guide, how-to, listicle, comparison)
YouTube video to blog post conversion
Brand voice training from your existing content
Automatic internal linking to your own pages
AI-generated images in your chosen style
Multi-language content creation (50+ languages)
Publishing to WordPress, Ghost, Shopify, Framer, or webhooks
Search Console monitoring and ranking optimization
Automated publishing campaigns with credit caps and cadence control
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
Continuous optimization loop that improves pages after publishing based on actual search performance
Full editorial control with all articles as drafts until you approve publication
Articles start from live research with inspectable sources, not blank prompts
Flexible credit system lets you allocate budget to research depth, images, or edits based on your priorities
Voice rules learned from your edits automatically improve future drafts
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
Kitful
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