Source attribution
The practice of tracking which web sources AI engines cite when generating responses that mention a brand.
Source attribution in AI search refers to tracking and analyzing which web sources (articles, websites, databases) AI engines use and cite when generating responses. Understanding source attribution is critical for GEO strategy.
How AI engines cite sources
Different AI search platforms handle citations differently:
- Perplexity: Inline numbered citations linking to source URLs
- ChatGPT Search: Source cards at the bottom of responses
- Google AI Overviews: Inline links to cited web pages
- Claude: References to sources when web search is used
Why source attribution matters
- Content strategy: Knowing which sources AI engines trust helps you target the right publications
- Link building: Sources frequently cited by AI engines are high-value targets for mentions
- Authority building: Being a cited source increases your brand's authority in AI responses
- Competitor intelligence: Understanding which sources boost competitor visibility
Types of sources AI engines prefer
- Media outlets: Major publications, industry news sites
- Educational content: University pages, research papers
- Official sources: Government sites, industry associations
- Expert content: Well-cited blog posts, technical documentation
- Review sites: Trusted review platforms and comparison sites
Tracking source attribution
Tools like Geosaur track which sources are cited alongside brand mentions, categorize them by type (media, blog, business, educational), and identify patterns in which sources most frequently influence AI responses.
