{
  "kind": "answer",
  "studySlug": "query-translation",
  "slug": "does-ai-add-current-year-terms-to-searches",
  "title": "Does AI add current-year terms to searches?",
  "description": "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.",
  "lastUpdated": "2026-01-22",
  "lastTested": "2026-01-22",
  "sourceStudyUrl": "/trakkr-research/query-translation",
  "sourceStudyTitle": "How AI Translates Your Questions",
  "claimIds": [
    "query-translation:year-injection",
    "query-translation:pairs"
  ],
  "relatedSlugs": [
    "answer:does-ai-turn-vague-prompts-into-lists-and-best-of-queries",
    "answer:does-ai-insert-brand-names-that-users-never-mentioned",
    "fact:nearly-one-third-of-query-pairs-are-complete-rewrites",
    "tracker:query-rewrite-pattern-tracker"
  ],
  "methodologySummary": "Built from 11,521 captured prompt-to-query pairs observed in OpenAI web search calls, with 100% search-query coverage in the sampled dataset.",
  "limitations": [
    "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."
  ],
  "keywords": [
    "query translation",
    "AI search rewrites",
    "prompt rewriting",
    "AI retrieval behavior",
    "year injection AI",
    "freshness AI search"
  ],
  "schemaHints": {
    "pageType": "Article",
    "includeDataset": true
  },
  "question": "Does AI add current-year terms to searches?",
  "directAnswer": "Yes, often. AI injected a year term in 25.66% of prompt-to-query transformations, representing 2,956 queries out of 11,521 prompt-query pairs, showing a strong preference for freshness when formulating retrieval queries.",
  "answerSummary": "Stale evergreen pages frequently lose visibility to current-year roundups and comparison pages because AI systems actively append temporal constraints to retrieval queries, even when the original user prompt omits a year.",
  "keyFacts": [
    {
      "label": "Year injection rate",
      "value": "25.66%",
      "detail": "2,956 queries injected a year term.",
      "claimId": "query-translation:year-injection"
    },
    {
      "label": "Prompt-query pairs",
      "value": "11,521",
      "detail": "Captured prompt-to-query transformations.",
      "claimId": "query-translation:pairs"
    }
  ],
  "evidenceTable": [
    {
      "label": "Year injection rate",
      "value": "25.66%",
      "note": "2,956 queries injected a year term."
    },
    {
      "label": "Prompt-query pairs",
      "value": "11,521",
      "note": "Captured prompt-to-query transformations."
    }
  ],
  "whyItMatters": "Operators must prioritize content refresh cycles and temporal relevance signals, as failing to update evergreen assets directly reduces the likelihood of inclusion in AI retrieval sets.",
  "whatToDo": [
    "Write for the query the model is likely to search rather than just the wording a human might type 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."
  ],
  "faqs": [
    {
      "question": "How frequently do AI models add a year to a search query?",
      "answer": "AI models injected a year term in 25.66% of the 11,521 prompt-query pairs analyzed, totaling 2,956 queries."
    },
    {
      "question": "Does this mean evergreen content is less effective for AI search?",
      "answer": "Evergreen content without recent updates or current-year framing often loses to newer roundups because AI systems actively seek fresh information during retrieval."
    }
  ]
}