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Wikipedia の AI 引用調査:Wikipedia は AI に引用されるきっかけになるか?

AI の回答 301025 件のデータ調査:ChatGPT、Gemini、Perplexity、Claude、Grok が Wikipedia をどのくらいの頻度で引用しているかを、13 か月にわたって月ごとに分析しました。

公開日:
4/9/2026
-
更新日:
4/9/2026
2025 年 8 月から 2026 年 8 月までの ChatGPT、Gemini、Perplexity、Claude、Grok における Wikipedia の引用率の折れ線グラフ(Sorank 調べ)
2025 年 8 月から 2026 年 8 月までの ChatGPT、Gemini、Perplexity、Claude、Grok における Wikipedia の引用率の折れ線グラフ(Sorank 調べ)
Sorank創業者 Thibault Besson-Magdelain

著者について

Thibault Besson-Magdelain

Sorank創業者。SEO歴7年以上、GEOに情熱を注いでいます。
目次

The short answer

Wikipedia is cited in 1.62% of measured answers over the last three months, which places it third of the platforms tracked. It is cited by all five models, most often by ChatGPT at 3.43% and least often by Claude at 0.03%.

Wikipedia was the most cited source of the panel and lost most of that share within the measured period.

Key figures

  • 301025 AI answers analysed between August 2025 and August 2026
  • 1820738 citations extracted from those answers
  • 131349 distinct domains cited at least once
  • 5 models measured separately: ChatGPT, Gemini, Perplexity, Claude and Grok
  • 79% of the questions asked in French, the rest in English

Wikipedia model by model

  • ChatGPT: 3.43%
  • Gemini: 1.38%
  • Grok: 1.08%
  • Perplexity: 0.19%
  • Claude: 0.03%

The sectors where Wikipedia weighs most

  • Automotive: 4.39%
  • Fashion: 3.58%
  • Sports: 2.67%
  • Entertainment: 2.23%
  • Consulting: 2.1%
  • Retail: 2.04%

How to read these numbers

A citation rate of 2% means the source was cited twice for every 100 measured answers. Rates are computed per model against the number of answers of that model, so a model with a smaller sample never distorts a column. A source cited several times inside one answer is counted once per company block, which keeps a single verbose answer from dominating a month.

The gap between the model that cites Wikipedia most and the one that cites it least is 3.4 points. That spread, not the average, is what should decide a budget: the same work returns most on ChatGPT and least on Claude. Across all tracked platforms, Wikipedia ranks third.

What changed over 13 months

Over the 13 months measured, Wikipedia moved from 5.28% in August 2025 to 1.39% in August 2026, with a peak of 11.31% in October 2025. Averaged over the first three months against the last three, the movement is minus 7.94 points.

Month by month

  • August 2025: 5.28%
  • September 2025: 7.94%
  • October 2025: 11.31%
  • November 2025: 11.16%
  • December 2025: 7.9%
  • January 2026: 8.69%
  • February 2026: 10.53%
  • March 2026: 9.09%
  • April 2026: 0.17%
  • May 2026: 0.98%
  • June 2026: 2.25%
  • July 2026: 1.57%
  • August 2026: 1.39%

What this means in practice

The decline is the single largest movement in the dataset, and it changes a widely repeated piece of advice. Getting an encyclopedic entry is still useful on the model that keeps citing it heavily, and close to irrelevant on the models that have moved towards reviews, video and community content. The safer reading is that the models diversified their sources rather than that Wikipedia lost quality. For a business, the entity information that Wikipedia carries still matters, but it is no longer the shortcut it was a year ago.

How to use this study

  1. Keep factual consistency between your site, your legal records and any encyclopedic entry, because the entity data still travels.
  2. Do not commission an article as a citation strategy: the measured return has fallen through the period.
  3. Move the effort to the source types that rose over the same months, starting with reviews.

How this study was measured

  1. We run a panel of buyer questions every month, the questions people type before choosing a supplier.
  2. Every question is sent to five AI: ChatGPT, Gemini, Perplexity, Claude and Grok.
  3. Every answer is parsed, every cited source is extracted and normalised to a domain and a platform.
  4. The citation rate is the number of citations of a source per 100 measured answers, computed per model so an uneven number of answers per model never distorts a column.
  5. The month is closed, the dataset is rebuilt, and the public files are republished on data.sorank.com.

Limits of this study

  1. This panel is not a neutral sample of the web. The questions come from the sectors our users operate in.
  2. The panel leans French: 237930 answers come from questions asked in French and 63095 from questions asked in English.
  3. Model coverage is uneven: 87008 answers from ChatGPT, 87004 from Perplexity, 87000 from Gemini, 20011 from Claude and 20002 from Grok. The two smallest samples are read as direction rather than as precise values.
  4. A citation is not a click. This study measures what the AIs cite, not what a reader does next.

The dataset behind this study

Every number on this page comes from the public Sorank dataset. The underlying figures, the monthly detail and the filters are available here:

Open the source data on data.sorank.com

Data updated on 2026-08-26.

How to cite this study

This study is free to quote, in an article, a deck or a report. Please cite the source and the measurement period, because the numbers move every month.

Sorank (2026). Wikipedia AI Citation Study: Does Wikipedia Get You Cited by the AIs. Sorank GEO studies, measured on 301025 AI answers collected between August 2025 and August 2026. Available at https://www.sorank.com/data/wikipedia-ai-citation-study

The same panel, read from another angle:

Measure your own citations

This study describes a market. Sorank measures your site: which questions mention you, which mention someone else, and what to publish to change that, tracked weekly across the same five AI.

Start with 3 days free. A payment card is required to open the trial.

よくある質問

Wikipedia を最も多く引用している AI はどれですか?

Wikipedia は、測定した 5 つのモデルすべてに引用されています。最も多く引用しているのは ChatGPT で回答の 3.43%、最も少ないのは Claude で 0.03% です。モデルごとの詳しい内訳はこのページにあります。

この調査はどのように測定したのですか?

2025 年 8 月から 2026 年 8 月までに 5 つの AI から集めた 301025 件の回答をもとに、引用されたすべての情報源を抽出して正規化しました。引用率は、測定した回答 100 件あたりの引用数です。公開データセットは data.sorank.com にあります。

Wikipedia のページは、今も持つ価値がありますか?

エンティティを明確にするためなら、あります。引用の量という点では、1 年前よりはるかに価値が下がっています。このパネルでは、Wikipedia の引用率は 13 か月で当初の値の大半を失い、レビュープラットフォームは逆の動きを見せました。

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