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Directories and Marketplaces in AI Answers: the GEO Blind Spot

Data study of 301025 AI answers: sector directories and marketplaces are cited more than most social networks, and almost nobody optimises for them.

Published on:
30/8/2026
-
Updated on:
30/8/2026
Bar chart of the directories and marketplaces most cited by the AIs, measured by Sorank on 301025 AI answers
Bar chart of the directories and marketplaces most cited by the AIs, measured by Sorank on 301025 AI answers
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

One sector directory, sortlist.fr, is cited in 2.06% of measured answers, which is 6188 citations and more than most social networks reach. pagesjaunes.fr follows at 1.47%. For comparison, the most cited platform of the panel, Trustpilot, sits at 2.7%.

Directories and marketplaces are the least discussed source category in GEO advice, and one of them outranks every social network in this panel.

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

Directories and marketplaces ranked by citation rate

  • sortlist.fr: 2.06% of answers
  • pagesjaunes.fr: 1.47% of answers
  • codeur.com: 0.55% of answers
  • booking.com: 0.31% of answers
  • g2.com: 0.27% of answers
  • trustfolio.co: 0.27% of answers
  • clutch.co: 0.26% of answers
  • appvizer.fr: 0.17% of answers
  • quechoisir.org: 0.16% of answers

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.

What changed over 13 months

9 aggregators appear in the top 50 domains of the panel, and none of them is a social network. This is the source category that grew most quietly over the period.

What this means in practice

Aggregators answer the question the models are actually being asked, which is who should I use, and they answer it with structured, comparable entries. That is why a sector directory can carry more citations than a large social platform. For a business, this is the cheapest visibility work available: the listings already exist, they are usually incomplete, and completing them costs nothing but time. It is also the most transferable finding, because every sector has its own aggregators.

How to use this study

  1. List the three aggregators that rank for your category and complete every field on your entry.
  2. Keep the description on those entries aligned with your site, since the models compare them.
  3. Re-check the listings quarterly: stale entries produce stale answers.

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). Directories and Marketplaces in AI Answers: the GEO Blind Spot. Sorank GEO studies, measured on 301025 AI answers collected between August 2025 and August 2026. Available at https://www.sorank.com/data/directories-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 directory do the AIs cite most?

sortlist.fr at 2.06%, ahead of pagesjaunes.fr at 1.47% and codeur.com at 0.55%. The full ranking is on this page, and the source data is public on data.sorank.com.

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.

Are paid directory listings worth it?

This dataset cannot separate paid from free placements. What it shows is that the aggregator page itself is cited, so a complete free entry is the first step before any paid consideration.

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