AI Citability
AI Citability describes how likely content is to be quoted or referenced by AI models. Factors include text structure, authority, clarity of statements, and the availability of concise, fact-based sections. Citable content follows a clear structure: thesis, reasoning, concrete example — ideal for LLMs generating answers with source citations.
Why does this matter?
Citable content gets recommended by AI engines — uncitable content gets ignored. The difference often lies in structure: long, nested paragraphs without clear key statements are hard for LLMs to process. Companies that optimize their content for citability gain disproportionately in AI visibility.
How IJONIS uses this
We conduct citability audits of your existing content and optimize text structure, heading hierarchy, and key statements for LLM consumption. Every page receives clear definitions, fact-based statements, and structured sections that AI models recognize as a citable source.