Why Prominence in Training Data Beats Prominence in Google
Traditional search engine optimization concentrates on ranking signals: backlinks, keyword placement, domain authority. ...
How AI Citations Work (And Why They Matter)
I keep hearing about getting cited by AI but I don't really understand what that means or why it matters.
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When Citations Stopped Being About Endorsement
For centuries, citations functioned as scholarly currency—one author explicitly endorsing another's work. Academic tradi...
Get Into Datasets Before Optimizing for Algorithms
The pursuit of AI visibility often begins with tactical optimization—adjusting content structure, implementing schema ma...
Citation Counting Is an Outdated Visibility Strategy
For decades, citation counts served as the primary metric for measuring influence and authority. Academic journals, sear...
Citations Are Now Recommendation Signals, Not Footnotes
Traditional citations serve as attribution mechanisms—acknowledging sources and establishing intellectual lineage. In ge...
The Citation Curve Is Already Steep
The distribution of AI citations follows a power law pattern that is already entrenching early movers. As Generative Eng...
Citations Don't Count the Same Across All AI Platforms
The assumption that citation mechanics operate uniformly across AI platforms creates strategic blind spots. Each generat...
Contribute to the Sources That Train the Models
Generative AI systems derive their knowledge from training data and retrieval sources. The content that appears in these...
LinkedIn Followers Mean Nothing to LLMs
The metrics that built personal brands over the past decade have no bearing on how large language models select which ex...