Datasets for RAG, fine-tuning and training built from public sources
AI-powered SEO content creation and optimization tool
Stage
Not given
MVP
Founded
Not given
Not given
Based in
Not given
Not given
Pricing model
Paid
Freemium
Pricing
Web Corpus: starter sets from $49 (250,000-500,000 documents); shelf corpora from $99-$199 per shelf (one-time license); Everything (full crawl) $3,000 one-time; Whole Library (all builds for one year) $5,000 per year. Reference Collections: Encyclopedia $1,200 commercial or $349 research (one-time)
Free plan: 50,000 words free. Starter: $24 per month (150,000 words). Standard: $49 per month (300,000 words). Premium: $99 per month (Unlimited words).
Key features
Web corpus with 100.7M documents and 105B tokens from Common Crawl
Documents scored with Bear Rank and shelved by subject
15 million encyclopedia entries with sources and model attribution
200 million synthetic Q&A records with metadata
Delivered as JSONL and Parquet formats
Free samples available on Hugging Face
Command-line client with resumable downloads and SHA-256 verification
Statistics collection with 7,000 topics and 140,000 figures
Glossaries for 10,000 topics with one million definitions
Book Q&A dataset with 8,000 titles for reading comprehension
Bulk content generation for multiple pieces at once
Content cluster creation with keyword optimization
Multi-language content generation
Long-form keyword-optimized content
AI-powered automatic internal linking
Grammar checking and plagiarism detection
Brand voice customization
API access for premium users
What makes it different
All datasets built only from public sources with full provenance tracking
Every record includes source attribution and licensing information
Eight curated subject shelves for targeted corpus selection
Flexible purchasing: buy individual shelves, slices, or entire library
Over 4 TB of clean, deduplicated text ready for machine learning
Built-in internal linking for improved SEO structure
Local SEO targeting with location-specific optimization
SEO Content AI