Cody C. Jensen

Ideas I Have Named

The frameworks and terms Cody C. Jensen coined, from MERIT and Corpus Engineering to Information Gain Decay, each with its full article.

Naming a mechanism is how I make it measurable. Each idea below has a short definition here and its full treatment on searchbloom.com.

Framework, 2025

MERIT Framework

Cody C. Jensen's five-pillar framework for AI search: Mentions, Evidence, Relevance, Inclusion and Transformation.

Methodology

ART is the SEO methodology Cody C. Jensen built Searchbloom on: Authority, Relevance and Technology.

Coined, 2026

Corpus Engineering is the systems-level discipline of engineering a body of content for retrieval, citation and AI generation.

Coined, 2026

Information Gain Density counts the distinct original insights a page carries against what already ranks. Most topics need 5 to 7.

Coined, 2026

Information Gain Decay is the erosion of a page's differentiation over time, caused by the success of that differentiation.

Coined, 2026

Consensus Collapse is why AI-written content earns almost nothing in AI search: it regresses to what the ranking pages already say.

Coined, 2026

The Novelty Illusion is the gap between how new a claim feels to a person and how new it reads to a machine.

Coined, 2026

Vector Dilution is why your most complete page can be your least differentiated: covering everything averages it toward the consensus.

Coined, 2026

Beyond the Corpus is the discipline of holding the corpus gap: what a bigger model cannot contain, which is where citations come from.

Coined, 2026

OPP: the pages others write about you decide whether AI recommends you. On Searchbloom's own data, they are 91.1% of what AI cites.

Coined, 2026

Sentiment Shaping is the work of moving brand sentiment in AI search across 4 layers, from brand awareness to the sources retrieved per prompt.