How to Optimize for AI Search: The Shift from Keywords to Context
Why conversational AI recommends brands that deliver contextual clarity, explicit data, and trustworthy signals instead of keyword tricks.
Writer & Technologist · LLM Philosophy
Research notes on how large language models seem to think, remember, and reason through context.
Why conversational AI recommends brands that deliver contextual clarity, explicit data, and trustworthy signals instead of keyword tricks.
Define the structured signals that let language models understand, trust, and recommend your business first.
Define the mechanics behind model-driven decisions so leaders can predict, shape, and measure language model behavior in production.
Context beats prompts. Learn how language models decide when to surface answers and what that says about their simulated reasoning.
Examining the point where predictive text begins to look like understanding inside large language models.
Exploring how memory, retrieval, and framing coax machines into feeling mindful.
Prefer essays in your inbox? Join the LLM Philosophy Dispatch for monthly reflections on machine reasoning and context.