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Rudzki: Peec AI Query Fan-Out study shows ChatGPT loves "best" and brands

  • vor 5 Tagen
  • 1 Min. Lesezeit

Aktualisiert: vor 3 Tagen


Rudzki: Peec AI Query Fan-Out study shows ChatGPT loves "best" and brands

Key Takeaways:

  • Rudzki (Peec AI) analyzed 5 million query fanouts across ChatGPT, Perplexity, and Grok (April, 2026) and found:

    • Perplexity commonly just simplifies your query - not much insight for optimization (1.4 fanouts per prompt)

    • ChatGPT commonly adds brands, comparisons, and reviews - crucial for optimization for AI search (2.1 fanouts per prompt)

    • Grok runs a full research brief with year modifiers and site: operators - the richest signal of all if you want to optimize for AI search (6 fanouts per prompt)

  • ChatGPT

    • secretly adds "best" to recommendation queries for advice-style prompts ("Should I use X?", "Which CRM is right for me?") - which happens for 24.3% of fanouts. This is why "10 Best..." listicles dominate AI search results.

    • "Reviews" is the third most injected word ChatGPT hunts for reviews even when you never ask. For a Revolut sample, two sources shaped how AI described the brand: Glassdoor (4.87/5) and Sitejabber (1.3/5, with several fake-looking reviews). Smaller niche review sites slip under the radar.

    • LLMs love fresh content ChatGPT adds the current year to 5.44% of fanouts. Grok does it even more. Updating content already cited by AI can have positive impact on your visibility in AI search.

  • Grok

    • Takes query as research brief, starts broad and then narrows the query fanouts down

    • 18.3% of fanouts add site: operator

    • 10.5% of fanouts include site:reddit.com

  • Takeaways:

    • Anaylze and monitor your industry and search intents query fanouts

    • Make sure to be or become the authority for the respective content

    • Be present at authority websites and listicles




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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