Citation Stack™
A 4-layer architecture that maps your content optimization to the RAG pipeline. Each layer corresponds to a stage of AI retrieval — miss one, miss the citation.
Why layers matter
AI retrieval is a pipeline, not a single step. Your content must pass ACCESS to get crawled, STRUCTURE to get parsed, SEMANTICS to get retrieved, and AUTHORITY to get cited. Failure at any layer blocks citation.
Can AI crawlers reach and index your content?
Can AI extract clean chunks from your content?
Do your chunks match user query embeddings?
Does AI trust your content enough to cite it?
Pipeline flow
Content moves through these stages sequentially. Each gate must pass for the next to matter:
Layer diagnostics
How to identify which layer is blocking citation:
Pages appear in AI's index
Pages not crawled or indexed
Schema validates, clean extraction
Malformed markup, JS-only content
RAG simulation shows good embedding distance
Low similarity scores
Citations appear when retrieved
Retrieved but not cited