Tag: vector-space
Models Don’t Rank You — They Recognize You
Google ranks pages.LLMs recognize entities. That’s the shift nobody in SEO is prepared for....
Nov 17, 2025
Trust Signals Aren’t Declared — They’re Inferred
In human systems, trust is often explicit:credentials, badges, bios. In LLM systems, trust is entir...
Nov 17, 2025
Embeddings Don’t Store Words — They Store Possibilities
Embeddings are often described as “vectors that represent words.”Convenient, but deeply...
Nov 17, 2025
What LLM Visibility Really Means in 2025
1. Visibility is no longer external Search used to be public: your rank your snippet...
Nov 15, 2025
Author Identity: How AI Understands Who You Are
1. Identity is not a profile — it’s a pattern LLMs do not “read” authors.Th...
Nov 15, 2025
Understanding Meaning in the Age of Embeddings
(Pronto da pubblicare — versione Hyipnotic, tono secco, intelligente, preciso.) 1. Meaning is...
Nov 15, 2025
Author Identity: How AI Understands Who You Are
To AI models, an author isn’t a person —it’s a pattern. LLMs build “identit...
Nov 15, 2025
How AI Turns Text into Meaning: The Hidden Architecture of Embeddings
AI doesn’t “read” text.It encodes it. Embeddings are the internal language of mod...
Nov 15, 2025