LLM Engine Optimization (LEO)
What Is LLM Engine Optimization (LEO)?
LLM Engine Optimization is the practice of writing and structuring content so AI models can easily understand, cite, and reuse it. It focuses on clarity, factual density, expert voice, and interconnected topics rather than keyword placement.
Generative search rewards content that behaves like a knowledge base:
- Definition First
A clear, jargon-free answer in the first 70 words. - Context Blocks
Subsections that explain why the topic matters and how it works. - Original Thought
AI models surface content with strong expert signals. - Authority Layer
Include author bios, credentials, and experience. - Topic Interlinking
A mini knowledge graph improves LLM memory of your domain.
“AI models don’t reward noise. They reward clarity. If your page reads like something only a practitioner could write, it has a real chance of being cited.”
- Maansi Sanghi, Fractional CMO, Envizon.
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