According to a recent LinkedIn post from Scrunch AI, the company collaborated with Stacker to analyze 3.5 million AI citation events between September 2025 and March 2026. The post suggests that, on average, citation activity for a given source drops by half in roughly 4–5 weeks, but that behavior varies significantly by platform and content source.
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The company’s LinkedIn post highlights that ChatGPT appears to refresh citations fastest, with a roughly 3.4-week half-life, while Perplexity’s citations last around 5.8 weeks. Google’s AI Mode, Gemini, and AI Overviews are described as clustering in a mid-range of 4.3–4.8 weeks, implying that citation durability differs meaningfully across major AI platforms and may affect how often brands must re-earn visibility.
The post indicates that industry vertical also influences citation persistence, though to a lesser extent than platform choice. Insurance and financial services content appears to retain citations longest, while healthcare and retail & ecommerce sources turn over more quickly, hinting that sectors with fast-changing information may experience shorter AI visibility cycles.
According to the analysis described, sources in the Stacker Partner Network, a curated group of more than 4,000 news publishers, exhibit citation half-lives roughly twice as long as non-partner sources. The post suggests this durability advantage is consistent across platforms and industries, positioning high-quality news domains as potentially more resilient traffic and demand drivers in AI search environments.
For investors, these findings point to a developing market for AI search optimization and measurement, in which Scrunch AI appears to be positioning itself as an insights provider. If the company can commercialize tools that help brands and publishers manage citation “half-life” across platforms, it may tap into growing budgets for AI-era SEO and analytics while strengthening its relevance within the digital marketing and publisher ecosystem.