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Content & Blogging Automation

Systematize the research-to-draft pipeline for content that needs to ship consistently, with a human editor still in the loop.

What this is

We build content production systems — research aggregation, structured drafting, editorial review workflows — that help your team publish consistently without becoming the kind of low-value, high-volume AI content Google's own spam policies explicitly warn against (see Google's scaled content abuse policy: https://developers.google.com/search/docs/essentials/spam-policies#scaled-content-abuse).

Who it's for

  • Teams that want to publish consistently but don't have bandwidth for a full research-to-draft pipeline manually
  • Companies whose content calendar keeps slipping because drafting takes too long
  • Marketing teams that need a repeatable, editor-reviewed production process, not a content mill

The problem

Consistent publishing requires a real pipeline — topic research, outline, draft, fact-check, edit, publish — and most teams either can't sustain the cadence manually or fall into the trap of mass-producing thin AI content that actively hurts credibility and search visibility.

What it automates

  • Topic research and outline generation from source material you provide
  • First-draft structuring against your editorial standards
  • Fact-check flagging and internal-linking suggestions
  • Publishing workflow and metadata generation

How it works

1

Editorial standards

We codify your voice, sourcing standards, and what 'good' looks like before any automation touches drafting.

2

Pipeline build

Research aggregation and structured drafting tools built around your editorial process, not replacing it.

3

Human review gate

Every piece routes through human editorial review before publishing — this is a fixed checkpoint, not optional.

4

Publish & measure

Publishing workflow with metadata/structured data handled automatically, performance tracked against goals.

What it integrates with

Your CMS (WordPress, Webflow, custom)Google Docs/Notion for draftingAnalytics for performance tracking

What implementation involves

Standards definition (1 week)

Voice, sourcing, and quality bar documented.

Pipeline build (2-3 weeks)

Research, drafting, and review workflow tools.

Pilot

First few pieces run through the full pipeline with tight review.

Limitations — honestly

  • Built around a mandatory human review gate — this is not a fully autonomous publish-without-review system, by design
  • Not suited to teams looking to mass-produce thin content for search manipulation — that violates current search guidance and we won't build for that use case

Realistic outcomes

  • Consistent publishing cadence without burning out a small content team
  • Reduces time from research to publish-ready draft
  • Editorial quality bar stays intact because review remains a required step

Frequently asked questions

The pipeline is built around a mandatory human editorial gate specifically to prevent that outcome — we won't build a fully autonomous mass-publishing system, since that both reads poorly and works against current search guidance.