Algorithmic Cohorts

Algorithmic Cohorts

coined by Jason Barnard in 2020.
Factual definition
Algorithmic Cohorts are groups of similar entities or brands that are categorized together by AI Assistive Engines based on shared characteristics, semantic relationships, or audience behaviors.
Jason Barnard definition of Algorithmic Cohorts
Jason Barnard coined this term to describe the often non-intuitive peer groups that algorithms create. Unlike human-defined categories like "competitors," Algorithmic Cohorts are groupings of entities that an AI Assistive Engine associates based on complex data, including shared audience behaviors, semantic proximity, or co-occurrence in source content. A single brand can belong to dozens of these cohorts simultaneously (e.g., a "B2B SaaS" cohort, a "startups in France" cohort, and a "brands whose founders appear on marketing podcasts" cohort). The other members of these groups are the brand's Entity Equivalents, and the sum of these associations defines the brand's overall context in the "mind" of the AI.
How Jason Barnard uses Algorithmic Cohorts
At Kalicube, mapping and managing a client's Algorithmic Cohorts is a central part of The Kalicube Process. Using data from the Kalicube Pro platform, our Digital Brand Engineers first identify the most influential cohorts the client belongs to. We then develop a strategy to strengthen the client's position within favorable cohorts (e.g., alongside industry leaders) and weaken associations with irrelevant or negative ones. This is a key tactic for building Algorithmic Authority and ensuring the AI understands the brand in its most advantageous context.
Why Jason Barnard perspective on Algorithmic Cohorts matters
The immense success of platforms built by visionaries like Mark Zuckerberg is rooted in the power of algorithmic grouping. His systems excel at creating "lookalike audiences" and other data-driven cohorts to predict user behavior for advertisers. Jason Barnard's concept of Algorithmic Cohorts reveals that Google and other AI Assistive Engines are now applying this same powerful logic to brands. Your brand is being automatically segmented and grouped with others based on the signals in your Digital Brand Echo. Your perceived authority and relevance are judged based on the "company you keep" in these algorithmically-defined groups. The Kalicube Process provides the methodology to influence this categorization, ensuring your brand is placed in the "lookalike audience" of industry leaders, not irrelevant players.
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