Matching your CV's wording to a job description means noticing the specific words a posting itself uses for a skill, tool or responsibility, and using those same words in your CV wherever they honestly describe your own experience, rather than paraphrasing into your own preferred terms or repeating the posting's language so many times that the document stops reading naturally. The goal is accuracy of language, not density of keywords, since a CV read by a person and a CV read by any automated system are both looking for the same thing: an honest match between what the posting asks for and what the candidate actually has.
What "matching keywords" actually means
"Keyword matching" sounds like a mechanical exercise, but at its core it is a translation problem: two people can describe the exact same skill in different words, and a posting's own choice of words is a strong hint about which version of that language the employer's own systems and reviewers are scanning for. A candidate who has genuinely done the work a posting describes but uses different terminology for it is not lying about their experience, but they are making a reader work harder than necessary to see the match that is actually there. Matching keywords closes that gap without changing what is true underneath it.
Reading a posting for its own vocabulary
Before touching the CV itself, read the posting once specifically for its word choices rather than its list of requirements: does it say "project management" or "program management," "customer success" or "account management," a specific tool name or a category description like "a modern JavaScript framework." Postings within the same industry, even for similar roles, often settle on slightly different terms for the same underlying work, and the posting in front of you is the single most reliable source for which term that particular employer's process is likely to be scanning for. How a CV's overall layout affects that same parsing question, separately from wording, is covered in writing an ATS-friendly resume.
Matching a term only where it is honestly true
A posting's own word is only worth adopting where it accurately describes something already true about the candidate's background; a term borrowed from a posting to describe work that does not actually match it is not a keyword match, it is a misrepresentation that a follow-up interview question will usually surface. Where a posting's term is close but not exact to what a candidate actually did, honest phrasing wins over a forced match: describing the real experience precisely, even in the candidate's own words rather than the posting's, is more defensible than stretching a term to fit.
Spelling out an acronym alongside its expansion
Postings and CVs alike often use an acronym inconsistently, one write-up spells it out, another assumes it is understood, and a CV benefits from including both forms at least once: the full term followed by its acronym in parentheses, or the acronym followed by its expansion, so that a match happens regardless of which form a particular search or reader is looking for. A skills line reading "search engine optimisation (SEO)" covers both a reader scanning for the spelled-out phrase and one scanning for the three-letter form, where listing only one of the two leaves the other unmatched for no real benefit.
Why stuffing reads badly to a human and a parser alike
Repeating a posting's exact phrase several times across a CV, or packing a skills line with every plausible variant of a term regardless of whether the surrounding sentence still reads naturally, tends to backfire on both readers at once. A person skimming the document notices the repetition immediately and reads it as an attempt to game the process rather than a genuine description of experience, which undermines the very impression a tailored CV is trying to build. Whether it also helps or hurts with any specific automated system depends on that system in ways no candidate can verify from outside it, which is exactly why this post makes no claim either way about parsing behaviour; a natural, honestly worded match is the version worth aiming for regardless of what any particular system does with it.
Illustrative example: a phrase matched to a posting's own wording
Illustrative example. A posting asks for experience with "customer relationship management (CRM) platforms." Before: "Managed client records and follow-ups using internal software." After: "Managed client records and follow-ups using a customer relationship management (CRM) platform, keeping renewal and follow-up dates current across the account list." The second version adopts the posting's own term, spelled out alongside its acronym, without changing anything about what the candidate actually did, and reads as a natural sentence rather than a phrase inserted purely to match the posting.
No keyword practice guarantees passing a screen
None of this amounts to a guarantee that matching a posting's language gets a CV past any specific screening step, automated or human; what a particular employer's process actually weighs is not something a candidate can verify from outside it, and any practice claiming otherwise is overselling what it can deliver. What honest, natural keyword matching does reliably do is remove an easy, avoidable mismatch between real experience and the words used to describe it, which is a difference within a candidate's control regardless of how any specific system on the other end behaves. The broader question of how much else to adjust for one posting is covered in tailoring your CV for a specific job posting, which keyword matching is one part of.
Match yours
Read the posting once for its own vocabulary, note the two or three terms most worth adopting where they are honestly true, and update the wording where it belongs directly in the builder.