Search engines retrieve.
LLMs rebuild.

When you ask a model, “What is a dopamine loop?”, it isn’t looking for a stored definition.
It reconstructs the concept from overlapping relational memories:

• effects

• causes

• examples

• metaphors

• emotional contexts

• historical usage

• conversational expectations

Concepts become dynamic models, not static entries.

This is why:

• answers vary across prompts

• explanations adapt to context

• nuance increases with specificity

• meaning is shaped by user intention

To be recognized in this new landscape, your content must help the model reconstruct concepts accurately —
not by repeating keywords, but by supplying clear conceptual frames.