What is LLMO?
Your guide to Large Language Model Optimization, the open protocol for machine-legible truth.New here? Start with this page, then read Why LLMO? and LLMO vs SEO, AEO, and GEO.
The shortest accurate description
LLMO makes reality machine-readable, machine-preferred, and operationally actionable. It extends beyond SEO, AEO, and GEO by optimizing not just pages or answers, but the full semantic presence of a company across retrieval, generation, memory, and execution layers. LLMO spans three domains:Optimization
Governs external representation across LLM-driven systems.
Operations
Governs internal machine-usable truth and governance.
Orchestration
Coordinates humans, models, memory, and policy through a deterministic harness.
Why LLMO exists
The internet was built for humans to browse. The emerging machine layer is built for models to interpret. That shift changes what “visibility” means. Historically, companies optimized for human attention, search engine indexing, and conversion pathways on websites. Now they also need to optimize for:- Model retrieval and citation
- Answer inclusion and model preference
- Factual compression and semantic consistency
- Memory persistence across AI systems
- Downstream machine action
The central problem
Organizations exist in two realities: external perception and internal precision. Most companies fail because they optimize one without the other. They either look good externally but are internally incoherent, or they have internal truth but no machine-legible external surface. LLMO is the system that binds the two.Explore the protocol
The Three O's
Optimization, Operations, and Orchestration.
Ontology
Entity, claim, source, provenance, freshness, supersession.
Humans + Harness
The operating doctrine for safe, scalable machine-enabled execution.
llmo.json
The machine-readable truth pack artifact.
Canonical Definitions
Every term in the protocol, pinned.
Trust Layer
From optimization to trust infrastructure.

