Resources

The parts worth understanding before you sell this to a client.

AI search measurement is new enough that the vocabulary is not settled and the honest answer to several obvious questions is ‘approximately’. These pages say which questions those are.

In the library

ReferenceUpdated with each engine changeMeasurement methodologyWhat we sample, how often, what the numbers mean, how much they move between runs, and the claims we deliberately refuse to make. Read this before you put an AI visibility figure in a client deck.Read

Reference10 questionsFrequently askedEngine coverage, accuracy, data connections, white-labelling, model changes and what happens to your historical data when an engine shifts underneath everyone.Read

Guides, case studies and engine-behaviour research will be published here as we have something genuinely worth reading to put in them. We would rather this page stayed short than filled it with articles nobody needed written.

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