AI citation tracking for the sources behind every answer
Find the source pages AI systems cite when they explain your category. Then decide which pages to update, earn, or build next.
Preview the visibility workflow
Mentions without source context are hard to improve. Citation tracking connects the answer to the pages that gave the model its facts.
What to review
- Cited URL inventory
- Prompt-to-source mapping
- Competitor source gaps
- Owned page checks
- Third-party mention targets
- Briefs for source refreshes
Where to start
- Scan prompts for cited URLs and brand mentions.
- Group sources by owned, partner, review, media, and competitor pages.
- Update weak pages and pitch missing third-party sources.
Who this helps
- Digital PR teams finding source targets
- SEO teams updating cited pages
- Product marketers correcting stale facts
Questions about this approach
It records which URLs AI systems cite or appear to rely on when answering prompts about a market or brand.
They show what AI systems treat as supporting material, which helps teams improve pages and earn better sources.
No. Some show links, some do not. Track visible citations and note answer context where links are missing.
Start with prompts where competitors are cited and your brand is absent, then improve owned pages with missing facts.
Yes. They shift as pages update, new sources publish, and AI search systems refresh retrieval results.
Each missing source can become a page update, comparison page, data asset, or digital PR target.
Put the guide to work