Studies Show AI Citation Patterns in SaaS Vary by Platform, Prompt, and Buyer Stage

Multiple research efforts examining how AI systems like ChatGPT select sources for B2B SaaS buyer queries are revealing consistent but nuanced patterns. Analyses linked to researcher Kevin Indig and a separate BeVisibleIQ study of 75 SaaS buyer prompts across four AI engines both indicate that citations tend to concentrate among a relatively small group of domains. The research also shows that which sources get cited — whether vendor websites or third-party content — shifts depending on the AI platform used and the buyer's stage in the decision journey. Experts caution that metrics like unique cited domains and citation volume measure different things, making cross-study comparisons unreliable if methodology differences are ignored. The findings collectively suggest that earning AI visibility is not as simple as publishing more content, but depends on the interplay of query context, platform, and source material.