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llms.txt GeneratorDoes AI make searches more specific than the prompt?
Usually. AI expanded the search in 55.5% of cases overall, making the query longer in 6,392 cases. It added location constraints in 13.19% of query pairs (1,520 queries) and injected a year term in 25.66% of queries (2,956 queries).
The key numbers.
- Location added
- 1,520 queries added a location constraint.
- 13.19%
- 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%
Models routinely add freshness, format, geography, and category language to reduce ambiguity before retrieval, meaning content must match the expanded query rather than the raw user prompt.
The evidence.
| Measure | Result |
|---|---|
| Location added 1,520 queries added a location constraint. | 13.19% |
| 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% |
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, not just the wording a human might type first.
- Add current-year, format, and category framing where it genuinely helps the page answer the query.
- Make sure competitor and category language is present when the model is likely to inject it during retrieval.
Operators must optimize content for the specific parameters models inject during retrieval, such as year or location, to ensure visibility when broad user prompts are translated into narrow system queries.
Questions about this answer.
Cite this answer.
Source study: Query Translation“Usually. AI expanded the search in 55.5% of cases overall, making the query longer in 6,392 cases. It added location constraints in 13.19% of query pairs (1,520 queries) and injected a year term in 25.66% of queries (2,956 queries).”
Mack Grenfell · Does AI make searches more specific than the prompt?
How AI Translates Your Questions · Trakkr Research · Updated 22 January 2026