Built for b2b companies that need 400 pages, not 12 blog posts. Running in production.
That gap compounds for 18 months. It's not blog volume — it's topical authority and GEO coverage. Perplexity, ChatGPT Search, and Gemini index companies with dense content graphs.
A content writer produces 1-2 articles per week at $80-150K/year. Monad Pages generates validated, structured content on schedule — with 12 automated quality gates that enforce standards no human team maintains consistently.
Google Search Console ingestion + semantic silence mapping. Finds the gaps in your market's search landscape that competitors haven't covered — and ranks them by opportunity.
LLM routing across specialized models: reasoning model for structure, writing model for prose, validation model for quality. Each article gets D2 diagrams rendered via Kroki API.
12 automated gates: word count ≥1800, ≥2 diagrams, banned word filter (47 terms), TL;DR section, FAQ schema, internal linking, meta fields, GEO optimization. Nothing ships without passing all 12.
Human-in-the-loop review, then direct publish to your CMS via API bridge. IndexNow submission for immediate indexing. AI overview optimization for citation by Perplexity, ChatGPT, Gemini.
Every article is generated from research data, not filled into a template. Structure adapts to the topic. No two articles share the same outline.
12 validators catch the problems that make AI content obvious: repetitive phrasing, banned buzzwords, missing structure, shallow analysis. If it doesn't pass, it doesn't ship.
The pipeline runs on schedule. New topics surfaced from GSC data, generated, validated, reviewed, published. Continuous content velocity, not a one-time batch.
15-minute architecture review. We'll map your current content approach against what Pages would replace — with specific volume and quality projections for your market.
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