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Domain-level visibility is a more stable signal than URL-level visibility in ChatGPT’s fan-outs. David Konitzny tracked 500 prompts (no brands or domains mentioned) daily for the 17 days after GPT-5.6’s release (full article, Aug 2026), analyzing every site: occurrence:
  • 91.9% of site: cases target only a domain; roughly 9% include a full URL path — and those paths point at pricing, feature, or individual product pages.
  • Domains show persistence: 45% are one-offs, 55% appear multiple times, and 18.1% recur almost every day — a stable hard core, even as ChatGPT keeps discovering new domains at a slowing rate.
  • URLs churn: 64.9% are one-offs and only 3.5% repeat across the dataset; the cumulative distinct-URL curve keeps climbing with no plateau.
Interpretation: ChatGPT converges on a trusted set of domains while continuously exploring different pages within them. For measurement, domain-level visibility is the more meaningful signal; counting raw site:-operator occurrences without separating domain vs URL targeting misreads the behavior. How the operator is used qualitatively: ChatGPT site-operator fan-outs. Source: How unique are domains and URLs in ChatGPT query fan-outs?, David Konitzny, LinkedIn, Aug 2026.