Scrunch AI Study Highlights Platform and Publisher Differences in AI Citation Longevity

According to a recent LinkedIn post from Scrunch AI, the company collaborated with Stacker to analyze 3.5 million AI citation events and estimate how long sources continue to be cited. The post suggests that, on average, citation activity for a given source falls by half within roughly four to five weeks, but that this varies significantly by platform, industry, and publisher type.

The company’s LinkedIn post highlights that ChatGPT appears to refresh sources fastest, with an estimated citation half-life of 3.4 weeks, while Perplexity’s citations last around 5.8 weeks. Google’s AI Mode, Gemini, and AI Overviews are described as having mid-range refresh cycles of about 4.3 to 4.8 weeks, implying that AI search optimization strategies may need to be tailored by platform to maintain visibility.

As shared in the post, industry verticals also show differences, with insurance and financial services sources described as having relatively longer citation durations of around five and 4.8 weeks, respectively. Healthcare and retail & ecommerce appear to experience faster turnover, at roughly 4.1 and 4.3 weeks, which may reflect higher emphasis on timeliness and recent information in those sectors.

The LinkedIn post further indicates that sources within the Stacker Partner Network of more than 4,000 news publishers tend to retain AI citations about twice as long as non-partner domains. This durability gap is described as consistent across AI platforms and industries, suggesting that curated, news-focused networks could have structural advantages in AI-driven discovery and traffic over time.

For investors, the post implies that Scrunch AI is positioning itself as a quantitative observer of how AI systems surface and rotate web content, particularly around citation dynamics. If the company can productize these insights into tools or advisory services that help brands and publishers manage AI search visibility, it could tap into growing demand for optimization solutions in an emerging AI search ecosystem.

The emphasis on citation half-life and platform-specific behavior may also signal future opportunities for performance-based offerings linked to sustained AI visibility. As AI platforms increasingly mediate information discovery and referral traffic, firms like Scrunch AI that provide data-driven guidance on retaining citations could benefit from marketing, media, and enterprise clients seeking measurable returns on content investments.