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

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

Published on:
30/8/2026
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Updated on:
30/8/2026
Line chart of the LinkedIn citation rate on ChatGPT, Gemini, Perplexity, Claude and Grok between August 2025 and August 2026, measured by Sorank
Line chart of the LinkedIn citation rate on ChatGPT, Gemini, Perplexity, Claude and Grok between August 2025 and August 2026, measured by Sorank
Thibault Besson-Magdelain fondateur de Sorank

About Author

Thibault Besson-Magdelain

Founder of Sorank, 5+ years of experience in SEO, GEO enthusiast.

The short answer

LinkedIn is cited in 0.71% of measured answers over the last three months, which places it tenth of the platforms tracked. It is cited by all five models, most often by Grok at 1.88% and least often by Claude at 0.25%.

LinkedIn is the strongest social platform for business questions, and it remains an order of magnitude behind review and video platforms.

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

LinkedIn model by model

  • Grok: 1.88%
  • Gemini: 0.98%
  • Perplexity: 0.7%
  • ChatGPT: 0.39%
  • Claude: 0.25%

The sectors where LinkedIn weighs most

  • Consulting: 2.46%
  • Education: 2%
  • Media: 1.82%
  • Marketing: 1.37%
  • Automotive: 0.71%
  • Manufacturing: 0.5%

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 LinkedIn most and the one that cites it least is 1.63 points. That spread, not the average, is what should decide a budget: the same work returns most on Grok and least on Claude. Across all tracked platforms, LinkedIn ranks tenth.

What changed over 13 months

Over the 13 months measured, LinkedIn moved from 0.32% in August 2025 to 0.56% in August 2026, with a peak of 1.17% in April 2026. Averaged over the first three months against the last three, the movement is plus 0.33 points.

Month by month

  • August 2025: 0.32%
  • September 2025: 0.51%
  • October 2025: 0.32%
  • November 2025: 0.23%
  • December 2025: 0.19%
  • January 2026: 0.15%
  • February 2026: 0.42%
  • March 2026: 1.06%
  • April 2026: 1.17%
  • May 2026: 1.06%
  • June 2026: 0.53%
  • July 2026: 0.93%
  • August 2026: 0.56%

What this means in practice

Professional content travels, but less than the volume of effort spent on it would suggest. The citation rate rises in consulting, education and media, which are the sectors where individual expertise is part of the buying decision. Elsewhere it stays marginal. The reading is not that the platform is useless, it is that its return in AI answers is smaller than its return in direct reach, and the two should not be counted twice in the same plan.

How to use this study

  1. Publish the substance on your own domain first, then distribute on the platform, so the citable version is yours.
  2. Keep company and founder profiles factually aligned with the site, because entity confusion costs citations.
  3. Judge the platform on pipeline and reach rather than on citation volume.

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). LinkedIn AI Citation Study: Does LinkedIn 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/linkedin-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.

Frequently questions asked

Which AI cites LinkedIn the most?

LinkedIn is cited by all five models measured. Grok cites it most, in 1.88% of its answers, and Claude least, in 0.25%. 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.

Should founders keep posting if citations are low?

Yes, for reach and credibility, which this study does not measure. The narrow finding is that posts rarely become the source an assistant names, so posting should not replace publishing on your own site.

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