1. Segments domain names into their component words
2. Uses a language model (GPT-2) to evaluate how natural the word ordering sounds
3. Compares the current word order against alternative arrangements
4. Provides a score indicating whether the words follow natural language patterns

The analysis uses perplexity scores to measure how predictable or natural a word sequence appears in standard language. Lower perplexity indicates more common word patterns, resulting in higher commonality scores. The service handles domains with different numbers of words through specialized comparison techniques.