LLM Citation Tracking

LLM citation tracking is the practice of monitoring which sources AI engines cite when they answer a question, and whether your domain is among them. On engines that show their sources, like Perplexity and Google AI Overviews, being cited is how you earn durable visibility and referral traffic.

Why it matters

When an AI cites a source, it both justifies its answer and sends an interested reader toward that page. If competitors own the citations for your category, they capture the credibility and the click while you stay invisible. Tracking citations turns "improve our AI presence" into a concrete list of pages to earn.

How to measure it

Citation tracking runs your buyer-intent prompts through citation-showing engines and records every source URL in each answer. From that you compute citation share, the percentage of cited sources pointing to your domain, and a source gap: the domains competitors are cited in that you are not.

Citation share
Cited sources that point to you.
Source gap
Cited rival sources you are missing.
Cited pages
Which of your URLs win citations.
Per-engine breakdown
Citations by model.

How Rankry helps

Rankry captures the sources behind every answer so you can see and grow your citation share.

  • Records cited domains for each prompt on citation-showing engines
  • Shows the source gap versus competitors, as a fix list
  • Connects citations to the pages and listings that earn them
Start free trial

Related

FAQ

LLM citation tracking questions

Which AI engines cite their sources?
Perplexity and Google AI Overviews cite sources by default, and Claude and ChatGPT increasingly surface citations when they search the web. Citation tracking focuses on the engines and modes where sources are shown.
What is citation share?
Citation share is the percentage of cited sources, across your tracked prompts, that point to your domain. It is the clearest signal of whether AI engines treat your content as authoritative.
How do I get my site cited by AI?
Publish clear, current, specific pages that answer the prompt directly, make sure AI crawlers can read them, earn third-party corroboration, and add structured data. Then track which prompts still cite competitors and close that gap.