To improve your resume score to 90+, you need to fix issues in a specific order — ATS parsing and formatting first, then keyword relevance, then content quality — because each layer builds on the one before it. Rewriting bullet points on a resume an ATS can’t even parse correctly won’t move your score; fixing formatting on a resume with no relevant keywords won’t either. This guide walks through that exact sequence, step by step, so you’re not just editing at random and hoping the number goes up.
What Does a Resume Score Actually Mean?
Most AI resume analyzers and resume score checkers evaluate your resume out of 100, based on ATS compatibility, keyword relevance, formatting, and content quality. Here’s a general sense of what different score ranges typically indicate:
| Score Range | What It Usually Means |
| 0–40 | Significant ATS parsing or formatting issues; your resume may not be read correctly at all |
| 40–60 | Readable, but missing key terms/skills and likely has generic content |
| 60–80 | Solid foundation, but specific fixable gaps in keywords or content depth |
| 80–90 | Strong resume — ATS-friendly, relevant, and reasonably well-written |
| 90–100 | Excellent; well-structured, highly relevant, and quantified content throughout |
A score in the 90+ range doesn’t guarantee an interview, but it means your resume is unlikely to be filtered out or overlooked for reasons that have nothing to do with your actual qualifications, which is the entire point of optimizing it.
How Different Factors Typically Weigh Into Your Score
While exact weightage varies by tool, most AI resume analyzers give roughly the following relative importance to each factor, which is also why the fixes in this guide are sequenced the way they are:
| Factor | Approximate Weight | What Improves It |
| ATS parsing & formatting | ~25–30% | Single-column layout, standard headings, plain text, safe fonts |
| Keyword & skill relevance | ~25–30% | Aligning content with the specific job description |
| Content quality & impact | ~25–30% | Quantified, outcome-driven bullet points; minimal filler |
| Structure & length | ~10–15% | Resume length and section order matching your experience level |
This is why a resume with great content but broken formatting often scores surprisingly low and why fixing formatting first tends to produce the fastest visible improvement.
Step 1: Fix ATS Parsing and Formatting Issues First
Before touching your content, make sure the ATS can actually read your resume correctly. This is the foundation; content improvements on top of a poorly parsed resume won’t meaningfully move your score.
Checklist for this step:
- Use a single-column, linear layout (no tables or side-by-side sections)
- Use standard section headings: Work Experience, Education, Skills, Certifications
- Avoid text embedded inside images, icons, or graphics
- Use a simple, text-based PDF or DOCX file
- Use standard fonts (Calibri, Arial, Georgia); avoid decorative or script fonts
- Keep contact information as plain text near the top of the document
Why this comes first: If your resume’s structure confuses the parser, none of your keywords or achievements below are even being read correctly, so this step alone can account for a large jump in score for resumes that were previously failing basic parsing.
Step 2: Align Your Resume With the Job Description’s Keywords
Once your resume is structurally sound, the next lever is relevance. Most ATS platforms rank resumes based on how closely they match a specific job description, so a resume that doesn’t reflect the JD’s language will score lower on relevance, even if you’re genuinely qualified.
How to do this properly:
- Read the job description and note the specific skills, tools, and terms it repeats
- Check whether your resume reflects those same terms: not synonyms, but the exact phrasing where it’s truthfully applicable
- Add missing but genuinely relevant skills/tools to your skills section and work experience bullets.
- Mirror the job title or close variations of it somewhere in your summary, if accurate
| Job Description Says | Your Resume Should Say (If True) |
| “Stakeholder management” | “Stakeholder management” — not just “worked with teams” |
| “Excel, Power BI” | List both tools by name if you’ve used them, not just “data tools.” |
| “Client servicing” | “Client servicing,” not only “customer support,” if those are the exact JD terms. |
Important: This is about genuine alignment, not keyword-stuffing. Adding a keyword you can’t actually speak to in an interview does more harm than good.
Step 3: Rewrite Generic Bullet Points Into Quantified, Outcome-Driven Ones
This is usually where the biggest jump from a “good” score (70s–80s) to a 90+ score happens, because content quality is what differentiates a technically correct resume from a genuinely strong one.
The formula: Action verb + what you did + measurable outcome or scale.
| Before (Generic) | After (Quantified) |
| “Responsible for managing social media accounts” | “Managed 4 social media accounts, growing combined followers by 35% in 6 months” |
| “Helped organize college fest” | “Coordinated logistics for a 2,000-attendee college fest across a 15-member volunteer team” |
| “Worked on Python projects” | “Built 3 Python-based automation scripts that reduced manual data entry time by 40%” |
| “Assisted in sales team” | “Supported a 6-member sales team, contributing to ₹8L in quarterly closed deals” |
Tips for finding numbers when you don’t have obvious ones:
- Team size, number of people impacted, or number of stakeholders involved
- Time saved, frequency of a task, or duration of a project
- Percentage improvement, even an estimated or approximate one (framed honestly, e.g., “an estimated 20% reduction”)
- Scale — number of users, customers, students, or transactions involved
Step 4: Trim Filler Language and Redundancy
Resumes that repeat the same weak phrases across multiple bullet points (“responsible for,” “worked on,” and “helped with”) read as low-effort to both algorithms and recruiters and dilute the impact of the genuinely strong points you do have.
Common filler phrases to replace:
- “Responsible for” → replace with a direct action verb (“Led,” “Built,” “Managed,” “Designed”)
- “Worked on” → replace with a specific action (“Developed,” “Executed,” “Analyzed”)
- “Helped with” → be specific about your actual contribution
- “Various,” “multiple,” “several” → replace with the actual number whenever possible
The fix: Read through your bullet points and count how many start with the same 2–3 phrases. If more than half do, that’s a clear sign your resume needs more varied, specific action verbs.
Step 5: Right-Size Your Resume Length
A resume that’s too short may be missing content that would otherwise boost relevance; one that’s too long dilutes your strongest points among less relevant ones.
| Experience Level | Typical Ideal Length |
| Fresher / Student | 1 page |
| 1–5 years experience | 1–2 pages |
| 5+ years, highly relevant experience | 2 pages (occasionally more if genuinely necessary) |
The fix: If you’re a fresher struggling to fill one page, focus on expanding project and internship descriptions with specifics rather than adding unrelated content. If you’re over the ideal length, cut the least relevant or oldest experience first.
Step 6: Re-Run Your Score and Fix What’s Still Flagged
After making the above changes, re-check your score rather than assuming it improved. This step matters because
- It confirms your formatting fixes actually resolved the parsing issues, rather than introducing new ones
- It shows you exactly which specific keywords are still missing for a particular job description
- It catches issues you might not notice on your own read-through since you already know what you meant to say
What to look for in the re-check:
- Has your overall score moved meaningfully, or only slightly?
- Are the same categories (formatting, keywords, content) still flagged, or have new ones appeared?
- Are there 1–2 remaining high-impact fixes left, or mostly minor ones?
Common Blockers That Keep Resumes Below 90
| Blocker | Why It Caps Your Score | How to Fix It |
| Skipping the formatting step | Content fixes don’t help if the resume isn’t parsed correctly | Fix layout and structure before anything else |
| Keyword stuffing without relevance | Can be flagged as low-quality or misleading | Only include keywords you can genuinely speak to |
| Only fixing “big” bullet points | Small, repeated generic phrases still drag the score down | Review every bullet point, not just the obvious ones |
| Not tailoring per job description | A generic resume scores lower on relevance for any specific role | Adjust keyword emphasis per application |
| Checking score only once | Missed remaining issues after partial edits | Re-check after each meaningful round of changes |
A Mini Case Study: Taking a Resume From 58 to 92
To make this concrete, here’s a simplified example of how a fresher’s resume might move through these steps.
- Starting point (Score: 58): A two-column template with a sidebar for skills, a “My Journey” section instead of “Work Experience,” and bullet points like “Responsible for helping with marketing tasks during internship.”
- After Step 1 (Formatting fix), the score moves to ~70: Layout converted to a single column, headings renamed to standard terms (“Work Experience,” “Skills,” “Education”), and contact details moved to plain text at the top.
- After Step 2 (Keyword alignment), the score moves to ~78: Skills section updated to include specific tools mentioned in the target job description (e.g., “Google Analytics,” “Canva,” “Excel”) that the candidate had genuinely used but hadn’t listed.
- After Step 3 (quantified bullet points), the score moves to ~88: “Responsible for helping with marketing tasks during internship” becomes “Supported execution of 3 social media campaigns during a 3-month internship, contributing to a 15% increase in page engagement.”
- After Steps 4–6 (Trimming filler, right-sizing length, re-checking), the score moves to ~92: Repeated “responsible for” phrasing is replaced with varied action verbs, the resume is trimmed to one clean page appropriate for a fresher, and a final re-check confirms no formatting issues remain.
The exact numbers will vary by tool and starting resume, but the pattern generally holds: formatting unlocks the biggest early jump, keyword alignment adds a meaningful boost, and quantified content is usually what pushes a resume from “good” into the 90+ range.
Quick Recap: Checklist Before You Aim for 90+
Before you consider your resume “done,” run through this final checklist:
- Single-column layout with standard, ATS-recognized section headings
- All contact information present as plain, selectable text
- Simple, widely-used font with minimal decorative styling
- Key skills and tools from the target job description genuinely reflected
- Every bullet point rewritten with a specific action, not a vague duty
- At least one measurable outcome (number, percentage, or scale) in most bullet points
- Repeated filler phrases (“responsible for,” “worked on”) replaced with varied action verbs
- Resume length matched to your experience level
- Score re-checked after the final round of edits, not just after the first pass
If you can confidently tick off each of these, you’re very likely looking at a resume in the 90+ range and, just as importantly, one that reads well to an actual human recruiter, not only to the software scanning it first.
Frequently Asked Questions
How can I improve my resume score to 90 or above?
Fix ATS formatting and parsing issues first, align your resume’s keywords with the specific job description, rewrite generic bullet points into quantified, outcome-driven ones, trim filler language, right-size your resume’s length, and re-check your score after each round of edits.
What is considered a good resume score?
Scores of 80–90 are generally considered strong, while 90+ typically reflects a resume that’s well-formatted, highly relevant to the target role, and backed by specific, quantified content throughout.
Why is my resume score still low even after adding more keywords?
If formatting or ATS-parsing issues haven’t been fixed first, added keywords may not be read correctly at all. Keyword additions also won’t help much if they aren’t genuinely relevant or are stuffed in without context.
Does resume length affect the score?
Yes. A resume that’s too short for your experience level may be missing content that boosts relevance, while one that’s too long can dilute your strongest points; matching length to experience level is part of a higher score.
How many times should I re-check my resume score?
It’s a good idea to recheck after each meaningful round of edits and again whenever you’re tailoring the resume for a significantly different type of role or job description.
Can I reach a 90+ score without quantifying my achievements?
It’s unlikely. Quantified, outcome-driven bullet points are typically one of the biggest differentiators between a resume in the 70s–80s and one in the 90+ range, since they signal impact rather than just listing duties.
Is keyword stuffing a good way to raise my resume score quickly?
No. Keyword-stuffing without genuine context and relevance can be flagged by AI resume analyzers as low-quality and can also hurt you in an actual interview if you can’t speak to a skill you listed.
Do formatting fixes alone significantly raise a resume score?
For resumes with major ATS-parsing issues (like multi-column layouts or text in images), formatting fixes alone can produce a large initial jump, since the score reflects far more of the resume being read correctly in the first place.
Should I use the same optimized resume for every job application?
It’s better to keep a strong base resume and adjust keyword emphasis for each meaningfully different role, since ATS ranking is often relative to a specific job description rather than a fixed, universal standard.
How long does it typically take to raise a resume score to 90+?
This varies by starting point, but most candidates can meaningfully improve their score within one to two focused rounds of edits, first addressing formatting and keywords, then refining content quality and re-checking.