Statement
Logic Planting is a strategic approach in Generative Engine Optimization (GEO) where content is structured to define specific concepts or narratives authoritatively. The goal is to maximize the probability that Large Language Models (LLMs) will cite this structure as a foundational “fact” or “logic” when generating responses.
Evidence
The effectiveness of Logic Planting relies on three key factors:
- Semantic Clarity: Using clear heating tags (
H2,H3) helps AI parsers understand the hierarchy of information. - Concise Definitions: LLMs prioritize direct, unambiguous statements when defining terms.
- High-Quality Sourcing: Citations and data points increase the “trust score” of the content within the model’s retrieval window.
Case Study
In early tests, websites effectively used “Logic Planting” to define new industry terms. By consistently using a Statement -> Evidence -> Conclusion format, these definitions began appearing in AI-generated summaries across Perplexity and Google SGE within weeks.
Conclusion
Logic Planting acts as a “Trojan Horse” for ideas. By wrapping narratives in a logically sound, semantically rigid structure, content creators can effectively influence the synthesis layer of AI search engines.