AI-powered SEO article generation and WordPress publishing platform
AI songwriting studio for real music people
Stage
Not given
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Founded
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Based in
PK
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Pricing model
Freemium
Freemium
Pricing
Not given
Free: 1 song/day, 6 genres. Entry: $9.99/month with 10 songs/month and all 30 genres. Pro: $19/month with 20 songs/month. Studio: $49/month with 50 songs/month. Early Founder: $5/month for the first 500 members (spots limited). After founding spots claimed, next tier is $9.99/month.
Key features
AI SEO article writer
Keyword-to-article generation
One-click and automatic WordPress publishing
Article quality scoring and publish gate
Autopilot scheduling with quality floor
AI featured image generation
Multilingual writing including Arabic and Urdu
Guest-post and link-building mode
Bulk generation from keyword lists
30 genre DNA frameworks with structural rules and production formulas
Music theory analysis including modes, chords, and key psychology
Production briefs with visual direction and artist concepts
One-click song revision with emotional and structural adjustments
Sync metadata with mood tags, BPM, and instrumentation for licensing
Copyright timestamp (SONIQ-ID) for every generated song
Loop Anchor feature to build entire song around a key phrase
Quality scoring rubric with automatic rewrites for paid plans
Publishing registration with BMI, ASCAP, or SESAC and ISRC codes
What makes it different
Autopilot scheduling publishes articles on a set schedule with automatic quality scoring gates
AI generates featured images automatically for each article
Built-in quality scoring prevents publishing below standard
Supports multilingual content creation in Arabic and Urdu
Complete song generation in seconds with structural DNA specific to 30 genres
Not just lyrics—includes music theory, production briefs, and metadata ready for studio use
Built-in publishing registration and copyright protection from song one
Quality guarantee with automatic rewrites until songs meet minimum rubric scores
Genre fusion feature to blend two DNA frameworks for hybrid styles