Structured Content Planning
Structured Content Planning designs your content so AI platforms can easily extract, understand, and cite it. We build topic architectures, entity-aligned structures, and citation-ready formats that maximise AI visibility.
Our process.
Content Architecture Audit
We review your existing content structure, topic coverage, entity alignment, and how effectively AI platforms can extract and cite your information.
Structured Content Blueprint
We design a content architecture optimised for AI extraction — entity-rich topic clusters, structured data integration, and citation-ready formatting.
Template & Governance Build
We create content templates, editorial guidelines, and governance frameworks that ensure every piece of content is structured for AI discovery.
Deploy & Measure
We implement the new content structure and track AI citation performance, refining the approach based on real platform data.
What you get.
Questions we get asked.
What makes content structured versus unstructured?
Structured content follows a predictable format with clear entity relationships, semantic hierarchy, and standardised metadata. AI platforms can extract, interpret, and cite structured content far more reliably than unstructured pages.
How does structured content improve AI visibility?
AI models parse content by identifying entities, relationships, and factual statements. Structured content — with clear topic clusters, entity-linked passages, and semantic markup — directly feeds how AI platforms build their knowledge.
Do I need to restructure all my existing content?
Not necessarily. We audit your existing content to identify high-value pieces that can be restructured for AI citation, then prioritise changes by impact. New content is built structured from the start using our templates and governance framework.
Ready to start growing?
Free audit. No commitment. First results within 60 days or we fix it.