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Measurement · Citation & Visibility Measurement

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Definition

Source diversity score is a measure of how many distinct, independent sources are citing or referencing a brand across AI-generated responses — assessing whether the brand’s AI citation footprint is built on a broad base of independent sources or concentrated in a narrow set of owned or closely affiliated content. AI systems weight corroboration by source independence — a claim supported by ten independent sources carries more weight than the same claim appearing ten times on one brand’s website. A high source diversity score indicates that a brand’s AI citations are anchored in genuine third-party corroboration, which produces more stable and accurate AI representations. A low diversity score — where most citations come from the brand’s own content — indicates vulnerability: a single algorithm change or content update could significantly shift AI representation.

Co-citation

Multi-platform presence

Brand footprint

Content corroboration

Entity authority

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Relevant PLC Services

AI Search Visibility Assessment Context Map