The Entity Engineering Index (EEI) is the structural benchmark that measures how clearly AI systems can identify, reconstruct, and trust an institution in the AI-search era. As traditional SEO collapses into model-driven retrieval, the EEI becomes the new surface of institutional power — determining who is visible, who is trustworthy, and who disappears in algorithmic blind spots.
The Index exists for one purpose: to ensure institutions maintain legibility and authority across all major AI systems.
AI systems don’t “search.” They interpret.
The EEI evaluates how intelligible an institution is across four structural dimensions.
Entity Clarity — a core diagnostic signal within the EEI — forms the foundation of this interpretive process.
EEI is not a popularity ranking.
It is a ranking of institutional interpretability.
The EEI incorporates the Entity Clarity Score as part of its 13-signal diagnostic framework.
The Index draws from three tightly integrated layers that describe how AI models actually read institutions:
The core structural signals models use to classify, parse, and interpret entities — including title precision, canonical integrity, schema hygiene, entity clarity, and entity signatures.
View the 13 Diagnostic Signals →
A three-tier system (Comprehension → Structure → Hygiene) maps diagnostic signals into banded scoring — from Obscure Entity to Trusted Sovereign Entity.
exmxc's Human × AI audit engine parses HTML, reconstructs entity graphs, and simulates how AI systems assign trust and visibility — producing the EEI score, visibility band, and surface-level diagnostics.
In the AI-search era, institutions are not discovered through keywords — they are interpreted.
Your EEI score determines:
A high EEI score means models trust, reconstruct, and elevate your institution.
A low score means models cannot reliably “see” you — regardless of size or reputation.
The scoring architecture, interpretive bands, and diagnostic logic behind the Index — defining how institutions move from Obscure Entity to Trusted Sovereign Entity.
Thirteen structural signals that determine how AI models judge institutional legibility and reconstruct organizational identity, including the Entity Clarity Score.
Sector indices, global rankings, clarity-specific analyses, and Operator Power Index (OPI) extensions will publish as the Index evolves into a full institutional benchmark.
This hub will surface those reports as they are released.
The EEI is developed by exmxc.ai, the intelligence institution for the AI-search era.
It formalizes exmxc's mission: institutional legibility, structural coherence, and AI-search authority.
The Index is both a benchmark and a blueprint — a model for how institutions regain visibility in a world governed by AI retrieval rather than SEO.
For institutional inquiries related to the EEI, Entity Engineering™, or cross-system audit work, please reference this hub.
It is the canonical description of how exmxc formalizes institutional visibility in the AI-search era.