Open data · CC-BY-4.0
AI Citation Datasets
Free, dated, methodologically-transparent datasets on how often AI search engines cite real sources. Built from the live PressGEO citation monitor. Use the numbers — please cite back.
Citation rates by engine — rolling 30 days
Updated 2026-10-20175 citations across 1,000 probes · 2 engines · 0 non-brand citations on 578 non-brand probes (0.0%)
| Engine | Probes | Cited | Overall | Brand | Non-brand |
|---|---|---|---|---|---|
| ChatGPT | 758 | 118 | 15.6% | 118/305 · 38.7% | 0/453 · 0.0% |
| Claude | 242 | 57 | 23.5% | 57/117 · 48.7% | 0/125 · 0.0% |
Brand = probes whose prompt named the brand. Non-brand = category and discovery prompts that did not name the brand. The non-brand number is the meaningful GEO accountability metric — the rate at which an engine cites a source on a buyer-intent prompt where the buyer described the problem instead of the company.
Methodology
PressGEO Research logs every probe in the public citation monitor. Each row records (engine, query, whether a PressGEO-published URL appeared in the engine's answer, citation position, surrounding excerpt). Coverage spans ChatGPT, Gemini, Perplexity, Microsoft Copilot, Claude, Grok, and Reddit. This dataset aggregates the rolling 30-day window ending 2026-10-20 (UTC). cite_rate = cited / total_checks. Every probe is classified by tier: brand_aware (prompt names the brand), category_intent (prompt names the category but not the brand), or discovery (generic problem-statement prompt). Non-brand cite_rate = (category_cited + discovery_cited) / (category_checks + discovery_checks) and is the meaningful GEO accountability metric.
How to cite
Licensed under Creative Commons Attribution 4.0. You can use the numbers commercially with attribution back to PressGEO Research.
Stable URLs
- https://pressgeo.com/api/public/research/citation-rates-latest.csv
- https://pressgeo.com/api/public/research/citation-rates-latest.json
Both endpoints refresh hourly. Linking directly is fine.
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