Optimizing your resume through semantic meaning rather than keyword density makes it readable while still matching what employers actually search for in their systems. This approach lets you tell your reentry story in authentic language that algorithms still recognize as relevant.
Latent Semantic Indexing (LSI) is a natural language processing technique that identifies hidden relationships between words and concepts in a document, allowing AI tools to match resumes to job descriptions even when exact keywords do not align.
For people with employment gaps or a record, LSI helps AI surface transferable skills and relevant experience that traditional keyword scanners would miss, increasing the chance that a resume reaches a human reviewer at background-friendly employers.
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