Long: Study on ChatGPT Query Fan-Out

Key Takeaways:

Long (Nectiv) analyzed ChatGPT Query Fan-Out via 8.500+ prompts across different industries in October:
- Total Number Of Searches: 2,648
- Percentage Of Search Instances: 31%
- Average Number Of Searches: 2.17
- Average Words Per Query: 5.48
A search triggers 1 to 4 fan out queries that are mostly 3+ words long with an average of 5,84 words
Compared to Google (3,4 words per query) the ChatGPT fan-out queries are significantly longer and more long-tail
The main n-grams used indicate that there is a focus on reviews, comparisons and current/recently published information:
- Reviews: By far the most popular one with 702 instances. ChatGPT will often searches for reviews of products, services or software.
- 2025: ChatGPT is obsessed with freshness and current year. Like the standard ole SEO tactic of adding your year to title tags and updating them annually, this will likely help for ChatGPT visibility.
- Features: I thought this would only be in the “Software” dataset but it’s present across Commerce, Fashion and even Credit Cards. ChatGPT is using “features” terminology to learn about products (ASICS Gel Kayano 29 vs 30 features, Chase Sapphire Reserve features).
- Comparison: ChatGPT seems to want to connect with content that compares products (best ecommerce business software platforms comparison). Creating content that compares your product to others is likely a viable strategy.

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