How to Measure the Noise Floor of an AI Visibility Score
A 1,200-observation research protocol for measuring how AI mentions, recommendations, and citations move when the monitored site does not change.
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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.
BrandGhost’s latest Observatory run offers useful signals about citation age and engine overlap, but its date and source-category coverage materially limit broader claims.
A third-party report says AI-generated People Also Ask answers reached 97% of its English-language sample. Here is what the number can support and how to audit it.
The W3C commerce workshop exposed a stack, not one standard: transaction protocols, product data, identity, consent, payment and trust still need to interoperate.
We recalculated two public Perplexity citation files, separated row and claim denominators, and built a four-state audit for numerical source support.
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