Topic
5 videos.
When an AI tool answers a question, it often names the pages it drew on. Those named pages are citations, and the talks here are about how a site gets picked. Nobody outside the AI companies knows the full answer, so the advice is opinion more than settled fact.
Every video here was published by a vendor in this field. A good first stop is How I Structure Content so AI Actually Cites It, where Brian Dean argues AI is a second source of visitors rather than a threat. For data, Why ChatGPT, AI Mode, and Perplexity Cite Different Sources reports a Semrush study of 150,000 citations. The Kalicube session on fan-out queries and the Majestic talk on a three-layer audit go further and suit advanced readers.
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How do brands end up quoted and named in ChatGPT answers? Rita Cidre applies the Seen and Trusted Framework to four brands in case studies, covering favourable mentions and source citations.
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Brian Dean argues AI search is an extra source of visitors, not a danger to SEO, and walks through four steps for getting cited there as well as in Google.
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ChatGPT, AI Mode and Perplexity pick very different URLs to cite, according to a Semrush study of 150,000 citations, which also asks what the small overlap means for brand visibility.
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Fan-out queries are at the centre of Nik Ranger's AI visibility study for a travel platform, where seven million synthetic queries produced 110 Google citations and just 2 from ChatGPT.
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A site can rank well and still never be cited by AI, argues Nickolass Jensen, who works through a three-layer audit covering the human, search and AI layers.
