Thought AI
Feeds vs. Structure: How LLMs Actually See Your Business
Learn how feeds, schema, trust signals, and context shape whether language models recognize and recommend your business.
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How AI systems process context, surface answers, and shape what we see. These essays dig into the mechanics behind machine reasoning — visibility, bias, optimization, and the structures that make models work.
Essays
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Thought AI
The Chat Bias, what is it and how to control it
See why chat models default to agreement and how negative prompts unlock pushback that improves your decisions.
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Thought AI
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.
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Thought AI
What Is LLM Visibility?
Define the structured signals that let language models understand, trust, and recommend your business first.
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Thought AI
The Fundamental Misunderstanding of Context in an AI World
Context beats prompts. Learn how language models decide when to surface answers and what that says about their simulated reasoning.
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