Impact of AI Search Summaries on Website Traffic: Evidence from Google AI Overviews and Wikipedia
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Abstract (arXiv)
Search engines increasingly display AI-generated answers above organic links, potentially displacing traffic to upstream publishers. We estimate the impact of Google's AI Overviews (AIO) on Wikipedia's search traffic using AIO's staggered geographic rollout and Wikipedia's multilingual structure. Our difference-in-differences design compares monthly external-search referrals to English Wikipedia articles with referrals to the same articles in German and French, and finds that default AIO availability reduced English search traffic by 5.45% and 4.82%, respectively. Our results suggest that answer-producing digital intermediaries can materially reallocate attention away from informational publishers, with implications for content monetization, search platform design, and policy.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 6 of its 59 references that are in the map. First posted on arXiv 5 Feb 2026.
Builds on
6 of 59 references.
References · 6
- 2023Are Large Language Models a Threat to Digital Public Goods? Evidence from Activity on Stack Overflowcited by 22
- 2018Why the World Reads Wikipedia: Beyond English Speakerscited by 15
- 2025Fair Document Valuation in LLM Summaries via Shapley Valuescited by 6
- 2020What is Trending on Wikipedia? Capturing Trends and Language Biases Across Wikipedia Editionscited by 4
- 2021A Large-Scale Characterization of How Readers Browse Wikipediacited by 2
- 2025Countering underproduction of peer produced goodscited by 1
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Citing papers per year: 2026: 4.
4 papers.
- 2026Measuring Google AI Overviews: Activation, Source Quality, Claim Fidelity, and Publisher Impactcited by 1
- 2026The Impact of AI Search on the Online Content Ecosystem: Evidence from Google and Redditcited by 0
- 2026Scoring Without the Engine: Validating a Deterministic, Manipulation-Resistant Content Score for Generative Engines, End to Endcited by 0
- 2026SlopShape: Identifying AI-Generated Commercial Web Contentcited by 0
- 2026SlopShape: Identifying AI-Generated Commercial Web Content14 Sep 2026
- 2026Scoring Without the Engine: Validating a Deterministic, Manipulation-Resistant Content Score for Generative Engines, End to End7 Sep 2026
- 2026The Impact of AI Search on the Online Content Ecosystem: Evidence from Google and Reddit14 May 2026
- 2026Measuring Google AI Overviews: Activation, Source Quality, Claim Fidelity, and Publisher Impact13 May 2026