AI injects current-year terms in about one quarter of searches | Trakkr Research
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.
Methodology: Built from 11,521 captured prompt-to-query pairs observed in OpenAI web search calls, with 100% search-query coverage in the sampled dataset.
Claim
AI added a year term in 25.66% of observed query rewrites.
Why it matters
Current-year framing operates as a primary retrieval signal before functioning as a ranking or citation signal. Strategists must ensure content is explicitly dated to align with automated temporal query expansions.
Supporting metrics
| Metric | Value | Context |
|---|---|---|
| Year injection rate | 25.66% | 2,956 queries injected a year term. |
| Prompt-query pairs | 11,521 | Captured prompt-to-query transformations. |
Related pages
Continue through the same study cluster.
- does ai turn vague prompts into lists and best of queries - Related answer page
- does ai insert brand names that users never mentioned - Related answer page
- query transformation severity tracker - Related tracker page
Data & Sources
- How AI Translates Your Questions - Flagship study behind this page
- Page JSON - Machine-readable companion file