Datasets for RAG, fine-tuning and training built from public sources
AI SEO Content Generation Platform
Stage
Not given
Not given
Founded
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Based in
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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)
Launch $19/mo (30 articles/mo), Growth $49/mo (100 articles/mo), Pro $99/mo (250 articles/mo), Scale $249/mo (750 articles/mo), BYOK $99/mo (2,000 articles/mo with own API keys). Annual billing saves 25%.
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
Automated keyword research and clustering
AI-powered content generation with citations
Bulk article generation
Automated internal linking with optimized anchor text
AI image generation for featured images
Support for over 100 languages
Custom brand voice and tone control
Webhook integrations for custom platforms
Automated meta titles and descriptions
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
Fully automated end-to-end workflow from keyword research to published content
Research-backed content with authoritative citations included automatically
Prevents keyword cannibalization with AI intent analysis
Costs fraction of traditional content creation at scale
No SEO experience required with fully automated platform
Machined.ai