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Terrasi: OpenAI leaks ChatGPT Data to Publishers - CTR <1%

  • Autorenbild: th3s3rp4nt
    th3s3rp4nt
  • 18. Nov. 2025
  • 2 Min. Lesezeit

Aktualisiert: 23. Nov. 2025


Key Takeaways:

  • Terrasi shared data from a document from OpenAI that showed very low CTR in ChatGPT of <1% for a website with over 500.000 impressions and an average of 1.68%

  • Salomon:

    • "It's a monthly report for each Publishers for the TOP 1000 urls"

    • "What is obvious is that the data model is not prompt/query oriented but based on the URL."

  • Critical review:

    • Industry is quite important - for publishers there are likely multiple sources for the same information and the information that might not require a deep dive nor follow-up action

    • Impressions in terms of mentioned in the citation list will likely not trigger lots of clicks - only mentions or links inside of the answer have a significant likelihood to trigger clicks.

    • Qua design ChatGPT and other LLM chats are answer machines that focus on providing summarized answers not a list of sources to click through

    • Having data aggregated for each URL instead of on a prompt/query/topic level makes it not useful for drawing any operative conclusions or optimization measures

    • Still, it is very interesting that ChatGPT has this sort of data + might share it in the near future to compete with Google's Search Console


Date structure:

{

 "date_partition": "----",

 "publisher": "Publisher name",

 "report_month": "----",

 "base_url_host": "example. com",

 "base_url": "example. com/url-1",

 "min_date_report": "----",

 "max_date_report": "----",

 "url_rank": "",

 "distinct_turns_shown": "",

 "distinct_turns_clicked": "",

 "ctr_anywhere": ".",

 "distinct_turns_response_shown": "",

 "distinct_turns_response_clicked": "",

 "ctr_response": ".",

 "distinct_turns_sidebar_shown": "",

 "distinct_turns_sidebar_clicked": "",

 "ctr_sidebar": ".",

 "distinct_turns_search_results_shown": "",

 "distinct_turns_search_results_clicked": "",

 "ctr_search_results": ".",

 "distinct_turns_citations_shown": "",

 "distinct_turns_citations_clicked": "",

 "ctr_citations": ".",

 "distinct_turns_tldr_shown": "",

 "distinct_turns_tldr_clicked": "",

 "ctr_tldr": ".",

 "distinct_turns_fast_nav_shown": "",

 "distinct_turns_fast_nav_clicked": "",

 "ctr_fast_nav": ".",

 "total_shown": "",

 "total_clicked": "",

 "total_response_shown": "",

 "total_response_clicked": "",

 "total_sidebar_shown": "",

 "total_sidebar_clicked": "",

 "total_search_results_shown": "",

 "total_search_results_clicked": "",

 "total_citations_shown": "",

 "total_citations_clicked": "",

 "total_tldr_shown": "",

 "total_tldr_clicked": "",

 "total_fast_nav_shown": "",

 "total_fast_nav_clicked": ""

}



Sources:

© 2026 David Epding.            Erstellt mit Wix.com.

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David Epding ist GEO & SEO, Data Analytics und Automation Manager mit über 10 Jahren Erfahrung in Technischem SEO mit breiter Expertise für LLMs und langjähriger Erfahrung in der Daten-Analyse.

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