Comparing Gemini and Claude Citation Patterns
Method
Both engines were evaluated with matched prompts and fixed retrieval windows.
Output samples were normalized by answer length to reduce verbosity bias in citation counts.
Comparative Findings
Gemini showed higher mention breadth, while Claude repeated fewer domains more consistently.
Citation depth, measured as distinct cited URLs per answer, remained narrow for both systems in transactional prompts.
Signal Hypothesis
Authority clustering may explain why both engines converge on a limited source set under risk-sensitive queries.
Further tests are needed to isolate the effect of freshness, markup structure, and domain-level trust signals.
| Engine | Citation Rate | Presence Rate |
|---|---|---|
| Gemini | 35% | 61% |
| Claude | 31% | 57% |
Presence Rate by Engine
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Author
Sofia Laurent
Head of Experimental Research
Sofia leads controlled experiments on prompt sensitivity, source diversity, and ranking signal interactions across major AI answer engines.
View all research by Sofia Laurent.