How 5 posts/month becomes 20–30
The honest answer: not by typing faster. By building a three-stage production line where AI does the heavy lift, our editors do the craft, and you do the signal-off. Your time investment stays flat or decreases. Volume 4–6x.
The three-stage production line
- Claude 4.5 Sonnet trained on your 40-article library + voice guide
- Drafts from a brief: topic, angle, target reader, CTA
- Pulls directly from your existing IP (no generic AI slop)
- Output: 1,200–2,000 word draft in <10 min
- Our content editor rewrites for your voice, adds lived examples
- Inserts proprietary data (from your audits, vendor benchmarks)
- SEO pass: schema, internal links, meta, featured snippet targeting
- Output: publication-ready draft + visuals brief
- Loom review tool: comment or voice-note per paragraph
- Approve / request changes / kill — in one pass
- Batch review: 5–8 drafts per Friday morning, ~90 min/week
- Output: approved drafts → automated Gutenberg publish queue
What 20–30 posts/month actually looks like
| Content type | Volume/mo | Source | Purpose |
|---|---|---|---|
| Pillar articles (1,500–3,000 words) | 4 | Flagship topics · SEO-anchored | Ranking assets, multi-year traffic |
| Supporting articles (800–1,500 words) | 8–12 | Sub-topics linked to pillars | Topical authority, long-tail capture |
| Opinion / commentary (600–1,000 words) | 4–6 | Industry news reactions | LinkedIn distribution, thought-leadership signal |
| Whitepaper extracts (snippets) | 2 | Repurposed from long-form gated assets | Lead magnet seeding |
| Vendor benchmarks / maturity signals | 2 | Your proprietary data | Unique-to-you content, no competitor has this |
| Total articles | 20–26 | — | Powering Layers 1 → 4 |