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Developer docs Developers & API OpenAPI spec llms.txt Free ToolsPricingSign UpSign InEvery dataset ships the row-level extract behind the write-up, frozen on an extraction date, so you can recompute each published figure yourself. Browse what AI engines cited in the answers we monitored.
Answer: Frozen, row-level datasets from our AI visibility monitoring: which sources AI engines cite, how often, and how the engines differ. Each dataset is downloadable as JSON.
Three AI engines, the same 30 questions over 16 days: 16,289 citations across 1,431 domains. 81 domains carry 46.8%; 1,132 were cited by exactly one engine. Method on the page.
We logged 17,223 AI source citations across 7 engines for 5 brands over 16 days. ChatGPT, Gemini and AI Overviews lean on Reddit and YouTube. Perplexity and Claude do not. Method, numbers and limits included.
Per-engine source citations from our AI monitoring: 17,223 citations across 7 engines and 5 brands, 30 September to 15 October 2026. Method, limits and SQL on the page.
Thirty prompts across five categories over five days: 4,971 AI citations from 713 source domains. Platforms and publishers dominate, not brand websites. Method on the page.
We ran 30 prompts across five categories for five days and measured 4,917 AI citations. In running shoes, two review sites out-cited Nike by more than ten to one. The pattern holds beyond B2B.
We measured 6,933 cited sources across five AI engines and 10 monitored brands over seven weeks. YouTube, Reddit, Forbes and TechRadar lead - and not one brand's own website made the top five. Here is our method, the numbers, and what to do about it.
We measured 6,597 AI citations across five engines and 10 monitored brands. The most-cited sources are platforms and publishers, not brand websites. Method on the page.
See how your brand performs across ChatGPT, Gemini, Google AI Overviews, Perplexity, DeepSeek, Grok, Claude and Microsoft Copilot. Get your Brand AEO Score (0-100) and discover visibility gaps — no credit card required.
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