How Ai Citations Work

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Citation Counting Is an Outdated Visibility Strategy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...

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...

When Citations Stopped Being About Endorsement

For centuries, citations functioned as scholarly currency—one author explicitly endorsing another's work. Academic tradi...

Citations Are Now Recommendation Signals, Not Footnotes

Traditional citations serve as attribution mechanisms—acknowledging sources and establishing intellectual lineage. In ge...

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...

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...

Why Prominence in Training Data Beats Prominence in Google

Traditional search engine optimization concentrates on ranking signals: backlinks, keyword placement, domain authority. ...

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...