Citegrade evaluates your content across 6 weighted dimensions that determine whether AI models like ChatGPT and Perplexity will cite it. Each score maps to specific, fixable issues.
Citation Readiness
Critical
Answer buried in paragraph 4. Move "reduces churn by 42%" to the first sentence.
The framework
Does your page answer the query directly in the first 1-2 sentences?
Is your content organized so AI can extract the relevant section?
Are claims backed by named sources, statistics, or first-hand data?
Does your content use concrete language AI can quote, or vague hedging it will skip?
Does your page cover the topic thoroughly enough to be the single best source?
Is your content dated, attributed, and recently updated?
Score guide
Content is structurally and semantically optimized for AI citation.
Most citation signals are present. A few targeted fixes will close the gap.
Content has structural issues that prevent reliable AI citation.
Major citation blockers present. AI is unlikely to cite this content.
FAQ
The overall score is a weighted average of 6 dimension scores: Answer Clarity (25%), Structure (20%), Evidence (20%), Specificity (15%), Coverage (10%), and Freshness (10%). Each dimension combines deterministic content analysis (heading structure, date detection, entity counting) with LLM evaluation (semantic quality, answer placement, claim specificity).
Scores above 70 indicate content that is structurally ready for AI citation. Scores above 85 indicate cite-ready content. The average page audited by Citegrade scores 52 on first scan. After applying recommended fixes, the average score improves by 18 points.
A single score hides the root cause. A page might rank 80 overall but score 35 on Answer Clarity because the key definition is buried in paragraph 6. The 6-dimension breakdown tells you exactly which aspect of your content AI models struggle with, so you fix the right thing.
Yes. Citegrade stores every audit result. You can re-run an audit after applying fixes and see the score change per dimension on the report page. Pro and Scale plans include score history and trend tracking.
No. A high citation readiness score means your content has the structural and semantic qualities that make AI citation likely, but LLM behavior depends on training data, query context, and model architecture. Citegrade optimizes the factors you can control.
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