ChatGPT Citation Coverage: Q1 Benchmark Study
Dataset Scope
This benchmark analyzed 1,200 prompts spanning finance, healthcare, and B2B software buying journeys.
Prompt classes included informational, comparative, and recommendation intent to isolate citation behavior by query type.
Benchmark Results
Citation rate varied most under recommendation prompts where source diversity widened and authority concentration dropped.
Presence rate remained materially higher than explicit citations, suggesting latent visibility before formal attribution.
Results by Prompt Intent
Comparative prompts produced the highest consistency in cited domains.
Informational prompts showed broader source breadth but lower repeated inclusion for individual brands.
Research Implications
Teams should treat citation rate and presence rate as separate KPIs, since one can improve while the other plateaus.
Monitoring answer-type mix is critical when attributing performance changes to content or authority initiatives.
| Engine | Citation Rate | Presence Rate |
|---|---|---|
| ChatGPT | 42% | 67% |
| Gemini | 35% | 61% |
| Claude | 31% | 57% |
Citation Rate by Engine
Related Research
Comparing Gemini and Claude Citation Patterns
A side-by-side review of source repetition, citation depth, and mention diversity.
Sofia Laurent | 1/28/2026
What Increases AI Citation Probability?
Findings from controlled tests on schema, source clarity, and topical authority structure.
Marcus Vale | 2/7/2026
Author
Dr. Elena Markov
Lead Research Analyst
Dr. Markov leads methodology design for multi-engine citation benchmarking. Her work focuses on repeatability, confidence intervals, and longitudinal trend integrity.
View all research by Dr. Elena Markov.