AI Search
How generated answers change discovery and evaluation.
Insights
Practical interpretation of changing search behaviour, measurement methods, content systems and source visibility.
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New analysis will appear here after editorial review. For structured datasets and methods, visit Research.
Topics
How generated answers change discovery and evaluation.
Entity, extractability, citation and source considerations.
Technical and content foundations that remain essential.
Prompt sampling, classification, benchmarks and limitations.
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The most frequently mentioned provider appeared in 8 of 80 completed observations. That is 10% of this measured prompt set—not evidence of market leadership, and not evidence that one provider dominates AI recommendations generally. A fragmented measured set Research 001 asked commercial provider-discovery questions across ChatGPT, Perplexity and Yandex Alice, covering International, US, UK and […]
Short answer: ChatGPT and Perplexity overlapped only partially in the measured prompt set. In Nalmert Research 001, the same frozen prompt set was measured in ChatGPT and Perplexity across four markets. ChatGPT completed 36 observations and Perplexity completed 35; one UK Perplexity observation remained a documented technical failure. This comparison describes provider mentions, explicit recommendations […]
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