For Career Coaches

Show them what the machine reads.

A client can not fix a resume they can not see the way a parser sees it. Run their CV through the same extraction a real ATS performs, score it against the job they are actually applying for, and turn the gap into a specific, honest list of changes.

What this actually fixes

The three complaints we hear most from teams in this seat.

"I applied to sixty roles and heard nothing"

Usually the resume never reached a human, and nobody can tell the client which part failed.

Formatting advice is guesswork

Two-column layouts, tables and header contact details break parsers, but which one broke this one?

AI rewrites invent things

Generic rewriting tools cheerfully add employers and metrics the client never had, which is worse than useless.

A week in the new workflow

Four steps, none of which involve reading a CV that was never going to fit.

Parse it as a machine would

Upload the client's resume and show them the structured record that comes out — including what came out blank.

Score it against the target job

Resume ↔ JD compares the CV to the actual posting and lists the keywords that are missing.

Fix the real problems

Resume Builder anchors every ATS issue to the line that caused it, so the client sees cause and effect.

Accept changes honestly

Rewrites are checked against the client's own resume first — invented employers, skills and metrics are blocked, not published.

Being able to show a client the blank fields is the whole coaching session. They stop arguing about fonts.
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Career Coach — example quote
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The tools you will live in

Start with these; the rest of the pipeline is there when you need it.

See it on your own career coaches workload

Bring a handful of real CVs and one open requisition. Ten minutes is usually enough to tell whether this fits how you work.