Tag: llm-interpretation
Models Don’t Look Up Concepts — They Rebuild Them
One of the biggest misconceptions of 2025 is the idea that LLMs “look up” concepts from...
Nov 17, 2025
Recognition > Ranking: The Real Visibility Metric of 2025
For decades, visibility meant ranking.Today, ranking means almost nothing. LLMs generate answers wi...
Nov 17, 2025
Trust Isn’t a Signal — It’s a Pattern Across Platforms
Trust is not a metric.It’s not a backlink, an author page, a badge, or a clean site structure....
Nov 17, 2025
Search Isn’t Retrieval Anymore — It’s Interpretation
For two decades, “search” meant retrieval.You typed a query, the engine fetched indexed...
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
The Loops That Think for Us: How Cognitive Shortcuts Become Invisible Decisions
Most people believe they make decisions by thinking.But thinking—real thinking—is expens...
Nov 17, 2025
Doorway Pages in the Age of AI: Why Scaled Content Tricks Will Collapse in 2026
Doorway pages never died — they just evolved.Today they hide behind AI generators, “prog...
Nov 15, 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
The Shift From Retrieval to Interpretation
1. The age of retrieval is ending For 20 years, search was ruled by retrieval: index → ra...
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