偏好设置

我们非常重视您的隐私,因此您可以选择禁用某些对网站基本功能并非必要的存储类型。屏蔽某些类别可能会影响您的网站使用体验。更多信息

接受所有 Cookie

Amazon AI Citation Study: Does Amazon Get You Cited by the AIs?

Data study of 301025 AI answers: how often Amazon is cited by ChatGPT, Gemini, Perplexity, Claude and Grok, month by month over 13 months.

发布于:
4/9/2026
-
更新于:
4/9/2026
Line chart of the Amazon citation rate on ChatGPT, Gemini, Perplexity, Claude and Grok between August 2025 and August 2026, measured by Sorank
Line chart of the Amazon citation rate on ChatGPT, Gemini, Perplexity, Claude and Grok between August 2025 and August 2026, measured by Sorank
Sorank 创始人 Thibault Besson-Magdelain

关于作者

Thibault Besson-Magdelain

Sorank 创始人,拥有 5 年以上 SEO 经验,GEO 爱好者。

The short answer

Amazon is cited in 1.12% of measured answers over the last three months, which places it fifth of the platforms tracked. It is cited by all five models, most often by Grok at 3.03% and least often by Perplexity at 0.4%.

Amazon is cited by all five models, with a strong bias towards the model that leans on marketplaces and communities.

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

Amazon model by model

  • Grok: 3.03%
  • Gemini: 1.96%
  • ChatGPT: 0.9%
  • Claude: 0.49%
  • Perplexity: 0.4%

The sectors where Amazon weighs most

  • Cybersecurity: 2.81%
  • Fashion: 2.46%
  • Telecommunications: 2.37%
  • Retail: 2.17%
  • Manufacturing: 1.95%
  • Healthcare: 1.19%

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 Amazon most and the one that cites it least is 2.63 points. That spread, not the average, is what should decide a budget: the same work returns most on Grok and least on Perplexity. Across all tracked platforms, Amazon ranks fifth.

What changed over 13 months

Over the 13 months measured, Amazon moved from 2% in August 2025 to 0.87% in August 2026, with a peak of 2.75% in October 2025. Averaged over the first three months against the last three, the movement is minus 1.48 points.

Month by month

  • August 2025: 2%
  • September 2025: 2.56%
  • October 2025: 2.75%
  • November 2025: 0.77%
  • December 2025: 1.9%
  • January 2026: 1.56%
  • February 2026: 0.78%
  • March 2026: 0.91%
  • April 2026: 0.72%
  • May 2026: 0.81%
  • June 2026: 1.41%
  • July 2026: 1.23%
  • August 2026: 0.87%

What this means in practice

For anyone selling physical products, the marketplace listing is not only a sales channel, it is a source the models read when they compare products. The citation pattern follows commercial intent: it rises where the question is about buying something and falls where the question is about choosing a supplier. The listing content, the specification block and the review section are all part of what gets summarised, which makes marketplace hygiene a visibility issue and not only a merchandising one.

How to use this study

  1. Treat the listing copy as answer material: specifications complete, claims verifiable, no invented superlatives.
  2. Keep your own product page at least as detailed as the marketplace one, so you can be cited instead of your reseller.
  3. Watch the model where marketplaces dominate if you sell direct to consumers.

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). Amazon AI Citation Study: Does Amazon 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/amazon-ai-citation-study

Related studies

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.

常见问题

Which AI cites Amazon the most?

Amazon is cited by all five models measured. Grok cites it most, in 3.03% of its answers, and Perplexity least, in 0.4%. The full model by model breakdown is on this page.

How was this study measured?

On 301025 answers from five AI, collected between August 2025 and August 2026, with every cited source extracted and normalised. The citation rate is the number of citations per 100 measured answers. The public dataset is on data.sorank.com.

Does being on a marketplace hurt citations for our own site?

It competes for the same slot. In practice the marketplace page often wins on commercial questions, which is why the recommendation is to keep your own product page richer and more specific rather than to leave the marketplace.

我们为雄心勃勃的企业打造的博客