#machine-learning

Articles tagged with #machine-learning

How the Machine Relations Index Measures Source Authority Across Six AI Engines
Single-engine citation tracking fails because AI engines disagree on which sources to trust. A multi-engine consensus methodology produces stable authority signals that survive algorithm changes.
Jul 2, 20268 min read
Why AI Search Engines Cite Earned Media Over Brand-Owned Content
The structural mechanics behind source selection in ChatGPT, Gemini, Claude, and Perplexity — and what it means for content architecture.
Jun 30, 20267 min read
Why AI Engines Need Independent Corroboration to Resolve a New Category
How repeated third-party evidence turns a phrase into a machine-readable category.
Apr 28, 20267 min read1
Why AI Retrieval Misses the Right Sources on Complex Queries
Why source selection breaks before generation does.
Apr 23, 20266 min read
Why Markdown Structure Changes What RAG Retrieves
Structure turns prose into retrievable evidence.
Apr 21, 20266 min read5
53% Citation Divergence: ChatGPT, Perplexity, Gemini & Claude
New data from 30 daily-monitored queries shows AI engines have fundamentally different citation behaviors.
Mar 31, 20266 min read16