GPT-5.4 Query Types: Site Operator, Domain-Restricted, and Open

Info
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Source: NP Digital
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Date: March 2026
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Category: AI & GEO Optimization
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Study Methodology: Data from Writesonic. Methodology not explicitly stated; findings reflect analysis of 423 total query types processed by GPT-5.4 categorized by search operator structure.
Most marketers think about AI queries as open-ended conversational prompts. GPT-5.4 tells a different story. Across 423 total query types analyzed, more than two-thirds involve structured search operators that restrict the model’s retrieval to specific sites or domains. Understanding how GPT-5.4 queries are actually structured changes how brands should think about achieving visibility in their responses.
Essential Statistics
- GPT-5.4 processed 423 total query types in this analysis, providing a defined sample for category breakdown.
- Site operator queries accounted for 37 percent of total query types, making it the largest single category.
- Domain-restricted queries represented 34 percent of total query types, the second largest category.
- Open queries made up 30 percent of total query types, the smallest of the three categories.
- Combined, site operator and domain-restricted queries account for 71 percent of GPT-5.4 query types, meaning the majority of retrieval activity is structurally constrained to specific sources or domains.
Key Takeaways
- The dominance of structured query types at 71 percent combined means GPT-5.4 is not primarily an open-retrieval system. Brands that are not specifically targeted by site operator or domain-restricted queries may be systematically excluded from a majority of retrieval activity.
- Site operator queries at 37 percent indicate that a large share of GPT-5.4 retrievals are directed at specific websites by design. Being a recognized, authoritative source that operators point their site queries toward is a meaningful visibility advantage.
- Domain-restricted queries at 34 percent suggest that retrieval is often confined to a defined set of domains. Brands not included in those domain sets are invisible to the queries in that category regardless of content quality.
- Open queries at 30 percent represent the category where broad content quality and AI optimization practices have the most direct impact. These are the queries where GEO and AEO efforts produce the clearest citation gains.
- The query type distribution argues for a diversified AI visibility strategy that addresses all three categories: building authority for site-operator queries, ensuring domain inclusion for restricted queries, and optimizing content for open query citation.
Actionable Insights
- Identify which domain sets your brand belongs to and whether those domains are being targeted by GPT-5.4 domain-restricted queries in your industry. This requires monitoring AI responses to industry-specific queries and noting which domains appear repeatedly. If your domain is absent from those response sets, publishing on or earning citations from included domains is a faster path to visibility than waiting for inclusion through organic citation growth.
- Build topical authority dense enough to become a site-operator target for your core subject areas. Site operator queries at 37 percent mean that being the go-to source on a specific topic earns you structured retrieval by design. Depth of coverage on a narrow set of topics produces more site-operator citation eligibility than broad coverage of many topics at shallow depth.
- Concentrate your open query optimization on the 30 percent of GPT-5.4 queries where content quality and structure directly determine citation outcomes. Use structured data, clear factual claims, concise definitions, and authoritative sourcing to maximize citation probability within this category since it is the most accessible segment for standard GEO optimization work.
- Track which query categories produce citations for your brand currently. If you are appearing in open queries but not in domain-restricted or site-operator queries, your current visibility is structurally capped. Expanding into the other two categories requires a different type of optimization work focused on domain authority and topical specialization rather than content quality alone.
- Use the 423 query type sample as a benchmark for building your own query type audit. Pull the queries that currently drive AI-driven traffic to your site, categorize them by structure, and compare your distribution to the GPT-5.4 breakdown. A significant mismatch reveals where your brand is over or underrepresented relative to how the model actually retrieves content.
“Most people optimizing for AI visibility are focused on the 30 percent of open queries. That leaves 70 percent of GPT-5.4 query types largely unaddressed. Site operator and domain-restricted queries are where a significant share of retrieval actually happens, and you need a different strategy to win in each of those categories.” – Neil Patel

