AI answers are built from sources. Which pages do engines trust, and which of them leave you out?
AI citations are the web pages an engine links to or relies on when it answers. MentionX stores every cited URL, so you can see which domains shape recommendations in your category and where you are missing.
Example scan
G2, Capterra, Reddit, docs…
Example numbers
Versus all tracked brands
The sites engines cite most when they recommend in your category.
Pages that cite competitors but not you: your outreach and content list.
Core citation views on Spark and Nova; full source monitoring on Galaxy.
You publish more content and hope engines notice.
The review site, forum thread and comparison page engines cite when they pick a rival, and which ones leave you out.
Each recommendation is traced to the URLs the engine cited, where it cites any.
How it is counted, what a good number is, and how to move it.
It varies by category and prompt. Review sites, comparison articles, forums and vendor docs are common. MentionX shows the exact URLs cited in your answers.
The share of citations that point to your pages, compared with every tracked brand's pages.
Engines recommend what their sources support. Appearing in the pages they cite is one of the most direct ways to change an answer.
Citations are stored whenever an engine returns them. Some engines cite more than others.
Yes, on every plan. The Social tab lists the social, community and review pages engines cited in your scan, which engines cited them, for which buyer questions, and whether those answers named you or only competitors. It reads the stored citations; MentionX does not read the pages themselves.
Enter your URL and market. Your first scan shows it on every engine in your plan.