金融分野の AI 引用調査：AI の回答 6600 件を測定

The short answer

In Finance, 6600 AI answers were measured between April 2026 and August 2026. The most cited platform is Trustpilot at 2.8%, ahead of YouTube at 2.06%. That ranking differs from the general one: Notion is cited 5.2 times more here than in the general ranking.

Finance is the sector with the most balanced language mix in the panel, and the one where review platforms lead over institutional sources.

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

Which platforms the AIs cite in Finance

• Trustpilot: 2.8%
• YouTube: 2.06%
• Wikipedia: 1.4%
• Reddit: 1.11%
• Microsoft: 1.06%
• Apple: 0.45%
• Notion: 0.42%
• Canva: 0.36%
• LinkedIn: 0.23%
• Salesforce: 0.18%

What this sector cites more than the average

• Notion: 0.42% here against 0.08% in the general ranking, 5.2 times more
• Canva: 0.36% here against 0.1% in the general ranking, 3.6 times more

The leading source model by model

• ChatGPT: Trustpilot at 4.68%
• Gemini: YouTube at 3.18%
• Perplexity: YouTube at 3%

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 distribution is worth as much as the ranking. The top three sources hold 62% of the citations counted in this table, 5 platforms sit above 1%, and Trustpilot is cited 1.4 times more often than YouTube. A market where three sources hold most of the citations rewards depth on those three rather than presence everywhere.

This sector was measured on 6600 answers, 49.1% of them in French, across 3 of the five models (ChatGPT, Gemini, Perplexity). The language mix matters when you read the ranking, because local platforms weigh more in French speaking markets.

What changed over the measured period

This sector was measured over 5 months, between April 2026 and August 2026, on 6600 answers, and 27 platforms recorded at least one citation. Its leading source, Trustpilot, rose from 0% in April 2026 to 2.24% in August 2026, which is the kind of movement that makes a ranking older than one quarter unreliable.

Trustpilot month by month in this sector

• April 2026: 0%
• May 2026: 3.11%
• June 2026: 4.67%
• July 2026: 2.62%
• August 2026: 2.24%

What this means in practice

Retail finance questions are trust questions, and the models answer them with reviews before regulation pages. Video follows, which reflects how comparison content is produced in this sector. For a financial services company, the implication is that customer feedback is a compliance grade asset: it is read, summarised and quoted. Institutional references still matter for definitions, but they rarely decide which provider gets named.

How to use this study

1. Collect and maintain public reviews, because they are the first source cited on provider questions.
2. Publish fee and condition pages in plain text, since those are the details the models extract.
3. Keep regulatory identifiers visible on your site, which supports entity recognition even when it is not quoted.

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). Finance AI Citation Study: 6600 AI Answers Measured. Sorank GEO studies, measured on 301025 AI answers collected between August 2025 and August 2026. Available at https://www.sorank.com/data/finance-ai-citation-study

Related studies

The same panel, read from another angle:

• AI Citation Study: Which Platforms the AIs Cite Most
• Trustpilot AI Citation Study
• Directories in AI Answers: Data Study
• All GEO studies

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.