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Research

Original research, benchmarks, and data-driven insights on AI search, citations, and generative engines.

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Research

How Qwairy Predicts the 2026 World Cup Winner

A Qwairy research study on how AI answer engines frame the 2026 World Cup winner, where they agree, where answers become volatile, and what marketers can learn from AI perception mapping.

7 min read
Research

The Answer Is Now an Opening: How AI Engines Turn One Question Into a Funnel (June 2026)

We measured how AI engines END their answers on the commercial questions brands compete on: how often the engine closes by offering to keep going ("If you want, I can narrow this down by budget, region, use case"). Measured across the major AI engines we monitor over a 90-day window.

11 min read
Research

Same Question, Different Web: AI Engines Barely Cite the Same Sources (June 2026)

We tested the assumption behind Google's "AI optimization is just SEO" guidance: do the domains cited by Google AI match those cited by ChatGPT, Perplexity, Claude and the rest on the same question? They barely do - cross-engine overlap runs 4-19% (Jaccard), and the single top source matches 4-13% of the time. Measured across eight major AI surfaces on production brands, every prompt run repeatedly, over a 90-day window.

17 min read
Research

The ChatGPT Linking Shift, May 2026: Inline Brand Links Jumped 14x in a Single Day

On May 7, 2026, ChatGPT started embedding clickable links to brands' own sites inside its answers. A study of 140,000+ ChatGPT answers: the rate jumped roughly 14× overnight, every link carries a utm_source=chatgpt.com tag, and only ChatGPT moved.

10 min read