Topic tag · Research
Methods for measuring AI-search visibility, citations, referrals, outcomes, and uncertainty.
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Google researchers report that Retrieve-for-Train generated ten retrieval directions 12× to 20× faster in fashion and music benchmarks, while the diffusion model traded some recall for greater diversity.
Perplexity reports roughly 80% lower read latency after separating passage processing, publishing and hot retrieval. Here is what publishers can and cannot infer.
A 1,200-observation research protocol for measuring how AI mentions, recommendations, and citations move when the monitored site does not change.
A 712-query audit found detector-classified synthetic pages among citations, but 27.1% of cited URLs were not analyzed and page accuracy was not tested.
A source-long-tail recomputation plus a separate LinkedIn engine-mix example show why aggregate AI citation rankings can hide most domains and platform dependence.
A field experiment found AI Mode assignment reduced publisher click-through by 18.8 points. Separate ITT, LATE, limits and site-specific measurement.
A 91-account audit recorded 3,602 ChatGPT ads. See the delivery rate, count discrepancies, income finding, limits and audit ledger.
Learn what AI SEO means, how it differs from AEO and GEO, what Google documents, and how to measure rankings, citations, referrals, and conversions.
Thirteen documented search and AI changes from September 7–13, plus two community signals that still require controlled tests.
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