Five years ago, beating an ATS meant stuffing keywords into a 'Skills' section and hoping Workday's parser counted them. That trick is dead. Modern screeners — Workday, Greenhouse, Eightfold, Paradox — score resumes with a mix of keyword frequency, semantic embeddings, and explicit required-qualification matching.
What that means in practice: you can't just dump terms anymore. You have to mirror the job description's exact multi-word phrases, pair every acronym with its expansion, and prove (with quantified bullets) that the experience is real. Otherwise the embedding score is mediocre and a recruiter never sees your file.
The good news: this is something AI is genuinely useful for. A tailoring tool that re-writes bullets verbatim from the JD — without inventing — moves your composite ATS score from the 40s into the 80s on most postings. The bad news: the same AI tools that do this well will happily fabricate experience if you let them. Always review the output.
If you take one thing away: ATS optimization is not 'keyword stuffing'. It's translation. You're translating your real experience into the exact vocabulary the screener is scanning for.