Citation Probability
Citation probability is a score (0-10 or 0-100) that predicts how likely AI systems are to cite your content. It evaluates factors like content depth, structure, schema markup, E-E-A-T signals, and freshness.
Definition
Citation probability measures the likelihood that AI systems like ChatGPT, Claude, and Perplexity will cite your content in their responses. This score is calculated based on multiple factors including content length and depth (1500+ words ideal), heading structure (clear H2/H3 hierarchy), schema markup (structured data presence), E-E-A-T signals (author credentials, expertise indicators), meta descriptions (clarity and relevance), and content freshness (publication and update dates). Higher citation probability scores indicate content that is more likely to be selected as a source by AI systems. Tools analyze these factors and provide actionable recommendations to improve citation probability.
Examples
A comprehensive guide (2500 words) with clear structure, schema markup, and author credentials might score 8/10 for citation probability.
A thin article (500 words) without schema or author information might score 3/10 for citation probability.
A well-optimized FAQ page with FAQPage schema and clear answers might score 9/10 for citation probability.
How to Apply
- 1.Use Citation Probability Checker to analyze your content
- 2.Identify low-scoring factors (content length, structure, schema, E-E-A-T)
- 3.Implement recommended improvements (add schema, expand content, improve structure)
- 4.Re-test citation probability after optimizations
- 5.Monitor citation rates and adjust strategy based on results
Related Tools
Related Tools
Complement your analysis with these AI citation optimization tools: