Construction AI Citation Study: 8175 AI Answers Measured

The short answer

In Construction, 8175 AI answers were measured between May 2026 and August 2026. The most cited platform is Wikipedia at 1.61%, ahead of Trustpilot at 1.53%. That ranking differs from the general one: Leboncoin is cited 1.3 times more here than in the general ranking.

Construction is one of the few sectors where encyclopedic and reference sources still lead, ahead of reviews and video.

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 Construction

• Wikipedia: 1.61%
• Trustpilot: 1.53%
• YouTube: 1.3%
• Facebook: 0.49%
• LinkedIn: 0.4%
• Leboncoin: 0.2%
• Indeed: 0.2%
• Microsoft: 0.19%
• Apple: 0.12%
• Instagram: 0.12%

What this sector cites more than the average

• Leboncoin: 0.2% here against 0.15% in the general ranking, 1.3 times more

The leading source model by model

• ChatGPT: Wikipedia at 3.44%
• Gemini: Trustpilot at 2.62%
• Perplexity: YouTube at 2.28%
• Claude: LinkedIn at 4%
• Grok: LinkedIn at 4%

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 72% of the citations counted in this table, 3 platforms sit above 1%, and Wikipedia and Trustpilot are close enough to be treated as one tier. A market where three sources hold most of the citations rewards depth on those three rather than presence everywhere.

This sector was measured on 8175 answers, 82.6% of them in French, across all five models (ChatGPT, Gemini, Perplexity, Claude, Grok). 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 4 months, between May 2026 and August 2026, on 8175 answers, and 24 platforms recorded at least one citation. Its leading source, Wikipedia, held its position at 1.33% between May 2026 and August 2026, which is unusual in a dataset where most sources move by a point or more in a quarter.

Wikipedia month by month in this sector

• May 2026: 1.33%
• June 2026: 2.5%
• July 2026: 1.62%
• August 2026: 1.33%

What this means in practice

Questions in this sector are often about norms, materials and definitions before they are about suppliers, and the models answer them from reference sources. The supplier choice comes second, and it is there that review profiles and local listings appear. For a contractor, the sequence matters: you will not be cited on the definitional question, so your visibility depends on the second half of the conversation, where reviews and local presence decide.

How to use this study

1. Publish clear pages on the regulations, materials and processes specific to your speciality.
2. Maintain a review profile and local listings, which is where supplier questions are answered.
3. Include real project descriptions with locations and constraints rather than generic service copy.

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). Construction AI Citation Study: 8175 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/construction-ai-citation-study

Related studies

The same panel, read from another angle:

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

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