The short answer
To improve your resume score, score it first to find the weakest dimensions, then fix them in order of impact: quantify every bullet with an action verb plus a result plus a metric, mirror the exact keywords from your target job description, fix ATS-breaking formatting like tables and graphics, and strengthen vague content with stronger verbs and specifics. Then apply WriteCV.ai's per-bullet AI suggestions and re-score until you reach the Excellent 85+ band. The average WriteCV.ai user raises their score from 62 to 87 this way. Scoring weighs keywords (40%), content (35%), and impact (25%), plus deterministic structure checks, so those four levers are exactly where your edits pay off.
What a Resume Score Measures, and Why It Is a Baseline to Improve From
A resume score on WriteCV.ai is a general, job-agnostic measure of how ATS-compatible your resume is, rated 0 to 100. It is not tied to any specific posting, so it tells you how your resume performs across every application. On WriteCV.ai, 85+ is Excellent, 80 to 84 is Good, and below 80 Needs Work.
The score is built from a clear formula. Keywords carry 40% of the weight, content quality 35%, and impact 25%, layered on top of deterministic structure checks that confirm an ATS can actually parse your file. That breakdown is good news, because it tells you precisely which edits move the number. (For the full mechanics, see how ATS scoring works.)
Treat the score as a baseline to improve from, not a one-off grade. A first upload that lands at 62 is normal; it simply means there is room to climb. The levers below are ordered by how much they typically move the score, so work top to bottom.
Lever 1: Quantify Every Bullet
This is the single highest-impact change you can make, because content and impact together account for 60% of the score. A quantified bullet follows a simple shape: action verb + result + metric. The metric is the part most resumes are missing.
Go through every bullet and ask, "How much? How many? How fast? Compared to what?" Numbers do not have to be dramatic to count. A percentage, a dollar figure, a headcount, a volume, a frequency, or a timeframe all signal measurable outcomes to both the scanner and the recruiter. If you genuinely cannot measure a result, lead with scope or scale instead ("across 4 product teams," "for a 12,000-customer portfolio"). For a deeper walkthrough, see how to quantify resume bullets.
Lever 2: Mirror Exact Keywords From the Target Job Description
Keywords carry the most weight in the score at 40%, so this is your second-biggest lever. Pull up the job description you are targeting and note the exact skills, tools, and phrases it uses, then make sure those terms appear naturally inside your real accomplishments.
Two rules matter here. First, match the wording the posting uses rather than a synonym: if it says "stakeholder management," write "stakeholder management," not "working with clients." Scanners often match literal strings. Second, never stuff keywords into a hidden or off-topic block. Weave them into bullets where you genuinely did the work. Keyword stuffing hurts readability, which the content dimension penalizes, and a clean text resume reads it all anyway.
Lever 3: Fix ATS-Breaking Formatting
You can write perfect bullets and still score low if the ATS cannot read your file. The deterministic structure checks reward resumes that parse cleanly, so remove anything that confuses a scanner:
- Single-column layout. Multi-column designs scramble reading order. Keep one column top to bottom.
- Standard section headers. Use plain labels like "Experience," "Education," and "Skills" so the parser knows where each section begins.
- Text-based PDF. Export real, selectable text, never a scanned image or a screenshot of your resume.
- No tables, text boxes, or graphics. Tables and embedded objects often get dropped or jumbled. Lay content out as plain paragraphs and bullets. Skip icons, charts, and headshots.
For the complete formatting checklist, see the ATS-friendly resume guide.
Lever 4: Strengthen Weak Content With Action Verbs and Specifics
With formatting fixed and keywords in place, return to any bullets that still feel flat. Two patterns drag the content score down: weak openers and vague claims. Replace passive or filler openers ("Responsible for," "Worked on," "Helped with") with strong action verbs ("Led," "Built," "Negotiated," "Automated"). Then replace vague claims with specifics: instead of "improved performance," name what improved and by how much.
The goal is that every line tells the reader what you did and why it mattered. Specific, verb-led, outcome-focused bullets lift the content and impact dimensions at the same time.
Lever 5: Apply WriteCV.ai's Per-Bullet AI Suggestions and Re-Score
Doing all of the above by hand is slow. WriteCV.ai's resume score returns bullet-by-bullet suggestions: for each weak line, it proposes a quantified, keyword-aware rewrite you can accept or tweak. You apply the ones that fit your real experience, then re-score.
This loop is why the average WriteCV.ai user moves from a baseline of 62 to 87. You are not guessing which edits the scoring rewards; the suggestions target the exact dimensions, keywords, content, impact, and structure, that the score is built on. (A quick note: the resume score is JD-agnostic. To score against one specific posting, use the separate JD Match feature.)
Before vs After: One Bullet
Here is what these levers look like applied to a single line.
| Version | Bullet | Why |
|---|---|---|
| Before | "Responsible for managing the email marketing program." | Weak opener, no result, no metric, no keyword specificity. |
| After | "Led a 6-campaign email marketing program that lifted open rates from 18% to 31% across a 120,000-subscriber list." | Action verb, quantified result, scale, and the literal term "email marketing" the JD uses. |
The Levers at a Glance
| Lever | What to change | Impact |
|---|---|---|
| Quantify bullets | Add action verb + result + metric to every line. | Highest. Lifts content (35%) and impact (25%) together. |
| Mirror keywords | Use the exact terms from the target job description, naturally. | High. Keywords are the largest weight at 40%. |
| Fix formatting | Single column, standard headers, text PDF, no tables or graphics. | High. Lets the ATS read everything; clears structure checks. |
| Strengthen content | Swap weak openers for action verbs; replace vague claims with specifics. | Medium to high. Targets the content dimension (35%). |
| Apply AI suggestions | Accept per-bullet rewrites, then re-score. | Compounds the rest; users average 62 to 87. |
How to Verify You Actually Improved
Improvement is only real if you can measure it. Because the general resume score is JD-agnostic, it is a consistent yardstick you can track across edits. After applying your changes, re-run the resume score and compare the new number and band against your original baseline. Keep looping, apply suggestions, re-score, until you land in the Excellent 85+ band.
Once your baseline is Excellent, you are ready to tailor for specific jobs. That is the moment to switch to JD Match, the separate feature that scores your resume against one particular posting. For why fixing the baseline first pays off, see why your resume score is the baseline for every application.
Frequently Asked Questions
How do I improve my resume score?+
Score your resume to find the weakest dimensions, then fix them in order of impact: quantify every bullet with an action verb plus a result plus a metric, mirror the exact keywords from your target job description, fix ATS-breaking formatting like tables and graphics, and strengthen vague content with stronger verbs and specifics. Apply WriteCV.ai's per-bullet AI suggestions and re-score until you reach 85+. The average WriteCV.ai user raises their score from 62 to 87 this way.
What is the fastest way to raise a resume score?+
Quantifying your bullet points is usually the fastest, highest-impact lever, because impact and content together account for 60 percent of the score. Adding a real number to a vague bullet, such as a percentage, dollar amount, or volume, immediately strengthens it. Fixing ATS-breaking formatting like multi-column layouts and embedded tables is the next fastest win because a clean structure lets the scanner read everything you wrote.
How high can I realistically improve my resume score?+
Most resumes can reach the Excellent band of 85 or above with focused edits. On WriteCV.ai, 85+ is Excellent, 80 to 84 is Good, and below 80 Needs Work. The average user improves from a baseline of 62 to 87 by applying per-bullet AI suggestions and re-scoring. You do not need a perfect 100; an Excellent 85+ baseline is the realistic target before you tailor for a specific job.
Does adding keywords improve my resume score?+
Yes. Keywords carry the largest weight in the score at 40 percent, so mirroring the exact terms and phrasing from your target job description, written naturally inside real accomplishments, raises your score. Match the wording the job posting uses rather than a synonym, and never stuff keywords into a hidden block, because that hurts readability and can be filtered out.
How do I check if my resume score actually improved?+
Re-score the edited resume on WriteCV.ai and compare the new number and band against your baseline. Because the general resume score is JD-agnostic, it is a consistent measure you can track across edits. Apply the per-bullet suggestions, re-run the score, and repeat until you land in the Excellent 85+ band. This is separate from JD Match, which scores your resume against one specific job posting.