How to Optimize for AI Search: The Shift from Keywords to Context
How AI search rewards contextual clarity, explicit product data, and trust signals far more than keyword-focused optimization.
David Valencia
I explore how large language models simulate reasoning.
David Valencia is a writer and technologist exploring the philosophy of machine reasoning. How large language models appear to think, understand, and evolve through context. I write about where language, computation, and human meaning meet.
Latest essays
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What Is LLM Visibility?
How structured truth, consistent context, fresh evidence, and trust signals make language models recommend you first.
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What is LLM Philosophy?
How leaders can turn language model behavior into a governable system with clear levers, measurements, and shared vocabulary.
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The Fundamental Misunderstanding of Context in an AI World
A look at why context, not prompts or keywords, shape how language models surface answers, and what that reveals about their simulated reasoning.
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When Probability Feels Like Insight Coming soon
Tracing the moment predictive text starts to resemble understanding inside large language models.
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Context Windows and the Illusion of Thought Coming soon
A study of how memory, retrieval, and framing coax machines into feeling mindful.
Lines of inquiry
- Simulated understanding: tracing how models assemble meaning from probability and past conversation.
- Context construction: examining how prompts, memory, and retrieval weave narratives that feel like reasoning.
- Human interpretation: translating LLM behavior into insights about perception, creativity, and shared language.