The problem
Organic traffic is the most cost-effective acquisition channel, but producing high-quality, SEO-optimised content at scale requires researchers, writers, editors, and SEO specialists. Most AI content tools produce generic text that search engines increasingly penalise.
The solution
An autonomous content engine that handles the full pipeline: keyword research, competitor analysis, content planning, writing with proper research and citations, and ongoing optimisation based on ranking performance. Every piece is fact-checked against sources and matches the brand's voice.
Key technical decisions
RAG pipeline pulling from authoritative sources for every claim, with automatic citation generation
Brand voice calibration using few-shot examples from existing approved content
Feedback loop: ranking performance data feeds back into content strategy, automatically adjusting topics and angles
The outcome
Full content pipeline automated from research to publication. Content quality matches human-written articles with proper citations. Continuous optimisation based on real ranking data.
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