Automated Blog SEO Content Engine

Turns a rotating list of client sectors into fully researched, illustrated, quality-checked WordPress drafts — every keyword backed by real market data, every article measured before it's allowed to publish.

How it works

The problem

Producing SEO content at scale usually means either generic AI output built on invented keyword volumes, or slow manual writing — and multi-site agencies have no reliable way to guarantee every article actually respects internal-linking and quality rules without a human re-checking each one.

The approach

1. 1

   A scheduled orchestrator rotates through client sectors and calls a real keyword-research API for every target term, rejecting anything not backed by actual volume and competition data.

2. 2

   A generator workflow drafts the article and its imagery, then runs a deterministic quality gate in code — measuring keyword density, heading hierarchy, internal-link count, and anchor-text variation programmatically instead of trusting the model's own judgment.

3. 3

   Articles that fail the gate are automatically revised within a bounded number of attempts; anything still failing is routed to a human with the exact reason, never silently published.

4. 4

   Each client site is published through its own small gateway sub-workflow, so onboarding a new site means duplicating one workflow, not touching the core pipeline.

5. 5

   Everything lands as a draft — a human always reviews before anything goes live.

Highlights

• Quality is measured by code, not hoped for from the model.
• Keyword choices are grounded in real market data an LLM can't hallucinate around.
• Multi-site by design; always publishes as a draft pending human review.

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