CV score checker — how well does this CV fit the role?

Upload a CV and paste the job advert. CV Intel returns a 0–100 fit score, an ATS readability grade, the keywords the screen expects but your CV never uses, and the three strengths and three gaps that matter most.

What the score is actually measuring

The score combines four things: how much of the job spec's required experience is evidenced in the CV, keyword and phrasing overlap with the advert, ATS readability (parseable layout, real headings, no tables or text in images), and how well achievements are quantified.

Each component is reported separately, so a CV scoring 62 tells you whether the problem is missing experience — which no rewrite fixes — or a parsing and phrasing problem, which the optimiser fixes in a minute.

Why ATS readability matters in the UK

Most UK employers of any size screen applications through an applicant tracking system before a human sees them. Two-column layouts, contact details in a header, skills inside a graphic and section headings styled as body text all cause the parser to drop content — so a strong candidate scores badly on substance the recruiter never actually receives.

What you get back

  • 0–100 overall fit score against the specific job spec
  • ATS readability grade with the exact parsing problems listed
  • Missing keywords and phrases the advert expects
  • Top three strengths and top three gaps in plain English
  • Quantification report — which achievements lack numbers

Frequently asked questions

Is the CV score checker free?
Your first check is free with no signup. Further checks are covered by the £9.99 24-hour Day Pass or the £39.99/month Professional plan.
What is a good CV score?
Above 75 usually means the CV is competitive for the role and worth submitting. Between 50 and 75 the gaps are typically phrasing and ATS formatting, which the optimiser fixes. Below 50 the CV is usually missing required experience the advert asks for.
Do you keep my CV?
No. Your CV is purged within 60 minutes and is never used to train AI models.

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