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Dev.to
Dev.to
7/14/2026
Study of 2,000 LLM query-results: new brands cited 0%, Wikipedia presence is top citation predictor

Study of 2,000 LLM query-results: new brands cited 0%, Wikipedia presence is top citation predictor

Original: I ran 500 brand queries across ChatGPT/Claude/Gemini/Perplexity. New brands get cited 0% of the time. Full data inside.

Short summary

Original research across 2,000 query-results on ChatGPT, Claude, Gemini, and Perplexity finds brands under one year old are cited 0% of the time. The strongest predictor of citation is a Wikipedia/Wikidata entry, while llms.txt and JSON-LD schema had negligible impact. High-DA offsite mentions across 3+ domains mattered more than any on-site factor.

  • Brands <1 year old cited 0% across all four LLM engines
  • Wikipedia/Wikidata entry is the strongest citation predictor
  • llms.txt had zero measurable effect; offsite high-DA mentions mattered most

Generated with AI, which can make mistakes.

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