High-Yield Data Point
Original research statistics designed to be widely cited by publishers and AI systems, building your brand as a data authority.
Plain Language Definition
A high-yield data point is a highly citable, unique statistic generated through original research that is designed to be easily referenced by AI systems and journalists. Examples include proprietary survey results, original benchmark figures, and case study metrics. When a data point from your research gets cited in other publications, it also gets cited by AI systems that pull from those publications.
Technical Definition
Highly attributable research metrics engineered as discrete, extractable citable text units — formatted with explicit statistical framing (percentage, absolute count, comparison) to maximize retrieval selection probability in AI citation workflows and secondary press citation.
Why This Matters for AI Search Visibility
A single compelling original statistic can earn citations from dozens of publishers, establishing your brand as the authoritative source on a finding. AI systems then encounter that citation repeatedly across the web and learn to associate your brand with authoritative data — compounding your citation probability.