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Query Fanout
The step where an AI system splits one prompt into several single-intent sub-queries, each retrieving its own sources; a page can be grounded for one angle of a question and absent for another.
Query fanout is the step where an AI system splits one prompt into several single-intent sub-queries, each retrieving its own set of sources. Because of it, a page can be grounded for one angle of a question and absent for another.
It feeds grounding snippet selection. Full article: Grounding Snippets.
Mentioned in
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Google sends Knowledge Graph facts to AI Mode as uncited "Biography" search results
AI Mode receives Knowledge Graph biographies of people and companies as search results with no URL. Building on Natzir Turrado and Olivier de Segonzac: 99 QRS providers, 542 result types and 268 query signals in Google Earth's 15 October build.
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Why we don't do prompt tracking.
Instead of infinite prompt variations, this measurement framework tracks canonical core entities across AI models to score brand visibility over time.
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Fanout Vectors
An analysis and reproduction of Google's query fanout research, demonstrating how vector-based diffusion models could replace text fanouts for faster search.
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Fanout V2: From Paraphrastic Collapse to Complementary Set
Google Research introduced R4T, an RL-trained diffusion retriever that optimizes fan-out query sets for diversity and speed, achieving up to 20x latency speedups.
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Advanced New Tail Keyword Research
Show 100 people a photo of your product and ask what they would type into Google. A survey on Zoysia Tenuifolia grass returned 68 terms: 24 already on the top-ranking page and 44 it had never used.
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Grounding Source ≠ Citation ≠ Mention
Being a cited grounding source does not mean your brand was mentioned in the answer, and being mentioned does not mean you were cited. They are correlated but distinct events produced at different stages of the AI answer pipeline — and conflating them is the source of most AI-visibility measurement
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Grounding Snippets
Grounding snippets are the short, extractive sentences AI systems pull from your page to build their answers: the atomic unit of AI-search visibility, where most of your page never makes the cut.