Which sources AI models cite in their answers.
An AI answer is only as good as the sources behind it. We collect every cited domain and every page, every day, across four models. You see at a glance which sources back you today and which are missing.
Which domains models treat as authoritative.
Sorted by frequency, filtered by model, language, or prompt cluster. You spot the staple sources in your market at a glance and check whether your own domain appears.
- Frequency over the selected date range, breakable down per model.
- Markers on your own domains, so you do not search for yourself.
- Filter by model: what Perplexity cites is not what ChatGPT cites.
Which specific URLs models pull.
Domain view is not enough. You want to know whether it is a specific test, a specific guide, or a specific category page. Citations shows each URL individually with the context of where it was cited.
- Every cited URL with domain, title, and frequency.
- Per URL: which model cited it and whether your brand or competitors are mentioned on the page.
- Sortable by frequency or domain aggregate.
Check one URL against the tracking set.
You published a piece and want to verify AI models actually pick it up. Citation Check does exactly that, with a live query across all four models in both languages.
Direct URL check
You enter a URL, we check it instantly against ChatGPT, Gemini, Copilot, Perplexity.
Per model
Per model, you see whether the URL is mentioned and at which position in the source list.
History
Every check is saved, so you can observe the effect of content updates over time.
What gets cited is half the answer. What is missing is the other half.
Citation Gaps turns the gap list into an order.
Citation data alone shows you what is there. Citation Gaps compares your profile to competitors and proposes which sources will most likely move the needle once closed.
Open Citation Gaps