Research
Original research, benchmarks, and data-driven insights on AI search, citations, and generative engine behavior.
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.
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.
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.
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.
Sources by Intent Study Q2 2026: Brand Editorial Owns 76% of French AI Citations, Wikipedia Barely Makes 3%
A qualitative study on 150 French unbranded prompts across 9 intent typologies. Why brand-owned editorial dominates 76% of AI citations, how negative framing wipes out official sources (×18), and what GEO teams should do about it.
The 2026 GEO Business Case: How to Measure ROI and Secure Budget for AI Search
A data-driven framework for marketing leaders to measure GEO performance, prove ROI to executives, and secure budget for AI search optimization in 2026.
The Complete Guide to GEO Metrics
The definitive guide to measuring AI visibility. Core metrics, industry benchmarks from 500+ brands, advanced insights, and actionable optimization strategies for ChatGPT, Claude, Perplexity, and other AI platforms.
Query Fan-Out: ChatGPT Runs 3.5x More Searches Than Perplexity (102K Queries Analyzed)
Analysis of 102,018 AI queries reveals the truth: query fan-out varies by provider. Perplexity: 70.5% single-query. ChatGPT: 32.7% single-query. This provider-specific behavior is the hidden factor determining who wins in AI search.
We analyzed 184,128 queries on ChatGPT, Gemini, Perplexity and Claude. Here is what we learned.
The most comprehensive study ever conducted on LLM ranking factors, analyzing 184,128 queries and 1,479,145 sources across 20 AI models including ChatGPT, Gemini, Perplexity, Claude, Mistral, DeepSeek, and Grok to help you dominate AI-generated results.
Perplexity Cites 2.8x More Sources Than ChatGPT, Only OpenAI Depends on Wikipedia
Analysis of 118K+ answers reveals dramatic differences in AI citation behavior: Perplexity averages 21.87 citations per question while ChatGPT uses 7.92, and OpenAI is the only model citing Wikipedia significantly at 4.8%.
Wikipedia Cited 16x More Than Reddit, But Represents Only 1.7% of AI Citations
Analysis of 950,000+ citations reveals specialized business content dominates AI responses at 97.5%, while Wikipedia and Reddit combined account for under 2%.
Top 18 Generative Engine Optimization Tools To Try in 2025
Traditional SEO is no longer enough. As AI-powered search engines like ChatGPT, Perplexity, and Gemini become primary sources of information, Generative Engine Optimization (GEO) is emerging as the new frontier.