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llms.txt GeneratorDoes AI prefer expanded queries over shorter ones?
Mostly. AI expanded the query in 55.5% of observed pairs, representing 6,392 cases where the model added structure and constraints before retrieving evidence.
The key numbers.
- Expanded queries
- AI made the query longer in 6,392 cases.
- 55.5%
- Year injection rate
- 2,956 queries injected a year term.
- 25.66%
- Location added
- 1,520 queries added a location constraint.
- 13.19%
Query expansion typically introduces specific format, freshness, or entity constraints, meaning content must satisfy these injected parameters to be retrieved.
The evidence.
| Measure | Result |
|---|---|
| Expanded queries AI made the query longer in 6,392 cases. | 55.5% |
| Year injection rate 2,956 queries injected a year term. | 25.66% |
| Location added 1,520 queries added a location constraint. | 13.19% |
Population and method
Built from 11,521 captured prompt-to-query pairs observed in OpenAI web search calls, with 100% search-query coverage in the sampled dataset.
Where the evidence stops
This study reflects captured search-query transformations rather than every hidden retrieval step a model may perform.
Some inserted entities reflect category heuristics or market leaders rather than final recommendation outcomes.
The underlying dataset is concentrated in commercial and research prompts rather than all possible conversational traffic.
What to do with this
- Write for the query the model is likely to search rather than just the wording a human types first.
- Add current-year, format, and category framing where it genuinely helps the page answer the query.
- Ensure competitor and category language is present when the model is likely to inject it during retrieval.
Understanding query expansion allows operators to optimize content for the exact parameters AI models use during retrieval, rather than relying solely on initial human input.
Questions about this answer.
Cite this answer.
Source study: Query Translation“Mostly. AI expanded the query in 55.5% of observed pairs, representing 6,392 cases where the model added structure and constraints before retrieving evidence.”
Mack Grenfell · Does AI prefer expanded queries over shorter ones?
How AI Translates Your Questions · Trakkr Research · Updated 22 January 2026