Search engines were built on retrieval:
find the best document and return it.
LLMs break this paradigm.
They don’t fetch.
They rebuild.
Every answer is a semantic reconstruction powered by embeddings, entity knowledge, and behavioral patterns.
That’s why:
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ranking factors matter less
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keywords lose relevance
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zero-click becomes the default
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SERPs turn into answer interfaces
The new question is no longer “How do I rank?”
but:
“How does the model interpret me?”
Visibility now comes from semantic clarity,
not mechanical optimization.
Search has become interpretation.