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llms.txt GeneratorHow AI Translates Your Questions
Prompt-to-query rewrites, specificity injection, and format conversion before retrieval. Answer pages, reference facts, and live trackers drawn from this study.
Published 29 January 2026 · Updated 22 January 2026
22 results
Does AI search your exact words?
No. AI almost never searches the exact wording a user provides. In this study, the exact match rate was only 0.17%, which means the model usually rewrites the query before retrieval.
How aggressive are AI query rewrites?
They are aggressive. Average similarity between prompt and search query is only 25.24%, and 31.85% of pairs count as complete rewrites.
Does AI add current-year terms to searches?
Yes, often. AI injected a year term in 25.66% of prompt-to-query transformations, which shows a strong preference for freshness when it formulates retrieval queries.
Does AI turn vague prompts into lists and best-of queries?
Yes. AI added list framing in 20.13% of rewrites and best-of framing in 20.21%, which means the retrieval query is often more comparative than the original prompt.
Does AI insert brand names that users never mentioned?
Yes. The model inserted brand names not present in the prompt in 15.24% of query rewrites, which means it often jumps straight to likely market leaders before it searches.
Does AI make searches more specific than the prompt?
Usually yes. AI added location constraints in 13.19% of query pairs and expanded the search in 55.5% of cases overall, often making the query more specific than the prompt itself.
What do query rewrites mean for content briefs?
They mean content briefs should target model-shaped retrieval language, not just user phrasing.
Should you build pages for best-of and list intent even if users do not ask that way?
Yes. AI turns a meaningful share of vague prompts into list-like and best-of retrieval queries, so pages that already match that structure are easier for models to find and cite.
Why do models rewrite so heavily before they search?
Because user prompts are often ambiguous, under-specified, or conversational, while retrieval works better with constrained, evaluative, and category-aware phrasing.
Does AI prefer expanded queries over shorter ones?
More often than not, yes. AI expanded the query in 55.5% of observed pairs, which suggests it usually wants more structure and constraints before it retrieves evidence.
How should you handle competitor language if AI will insert it anyway?
Handle it directly and honestly. If AI inserts market-leader brand names in 15.24% of search rewrites, then category pages and comparisons need to address the known comparison set instead of pretending it does not exist.
What is the practical SEO lesson from query translation?
The practical lesson is that AI visibility depends on retrieval-fit, not just prompt-fit. The page has to match the transformed query the model actually searches, not the sentence the user typed first.
The exact match rate is only 0.17%
In a study analyzing how artificial intelligence translates user questions, researchers evaluated 11521 prompt-to-query transformations. The analysis revealed that only 20 pairs resulted in an exact match, yielding an exact match rate of 0.17 percent.
Average prompt-to-query similarity is only about 25%
Most of the wording changes substantially before retrieval.
Nearly one third of query pairs are complete rewrites
An analysis of 11,521 prompt-to-query transformations revealed that 3,670 pairs fell into the complete rewrite category.
AI injects current-year terms in about one quarter of searches
An analysis of 11,521 prompt-to-query transformations revealed that artificial intelligence systems injected a current-year term into 2,956 queries during the rewrite process.
Brand names get inserted in 15% of rewrites
The model frequently jumps to likely market leaders before it searches.
List framing is added in one fifth of rewrites
AI often turns open-ended prompts into list-shaped searches.
Best-of framing is added in one fifth of rewrites
An analysis of how AI systems translate user questions into search queries revealed a consistent pattern of modifying recommendation prompts to seek definitive answers.
AI adds location context in 13% of rewrites
Geographic specificity is a recurring retrieval behavior.
Most common query rewrite patterns
Research tracker page for the study How AI Translates Your Questions, focusing on the most common query rewrite patterns.
Query transformation severity tracker
Query transformation severity tracker for the study How AI Translates Your Questions.