Resume Keywords List: Pull Them From the Job Post and Place Them

Start your resume keywords list with the job post, not a generic skills page. Copy the description into a working document, mark the exact names of required skills and software, and connect each true term to a resume section. Put important phrases in a skills cluster and prove them in experience bullets.

This method works for applications submitted through company sites and LinkedIn Easy Apply. It improves keyword coverage without stuffing your resume with terms you cannot support.

What belongs in a resume keywords list?

Look for words that describe the work, tools, and hiring requirements. Sort them before you edit your resume.

• Must-have skills: the abilities the employer says you need.
• Software and platforms: tools such as Python, Salesforce, Jira, or Excel.
• Methods and processes: forecasting, A/B testing, incident response, or stakeholder management.
• Certifications and credentials: licenses, certifications, or required training.
• Role language: terms such as pipeline management, financial reporting, or customer retention.
• Nice-to-haves: useful extras that may help but are not required.

Keep the exact spelling for named tools and formal terms when they are accurate for you. For example, use “Python,” not only “coding.” Use “Salesforce,” not only “CRM software.” A broad phrase can still help, but it should not replace the specific term in the job post.

Do not add a keyword because it appears often. If you have not used Python, do not add Python. If you supported a CRM but never used Salesforce, do not list Salesforce as your own experience. A strong keyword match cannot repair an unsupported claim.

Step 1: Pull phrases from the job post

Copy the full job description into a separate file. Ignore the company story and benefits section at first. Start with the responsibilities, requirements, preferred qualifications, and tools.

Mark exact phrases and close variants. A job post may say “customer relationship management,” “CRM,” and “Salesforce.” Record all three, then decide which ones describe your experience.

Here is a short example of a job-post excerpt. The bold terms are possible entries for your list.

Manage a B2B sales pipeline in Salesforce, use HubSpot for campaign tracking, and report weekly conversion rates. Build dashboards in Excel and partner with marketing on lead generation programs. Experience with SQL is preferred.

Your first pass might look like this:

Group	Phrases from the post	Your decision
Must-have work	B2B sales pipeline, lead generation	Keep if you did this work
Tools	Salesforce, HubSpot, Excel	Keep the tools you have used
Reporting	Conversion rates, dashboards	Keep if your work included these outputs
Nice-to-have	SQL	Include only if you can support it

The job post is your source. Your resume is not a place to reproduce it. It is a place to show where your background fits.

For another explanation of this process, see Resume Keywords: How to Match the Job Without Stuffing. You can also compare the parsing and recruiter-view basics in ATS Optimized Resume: Parsing, Keywords, and Recruiter View.

Step 2: Map each phrase to real evidence

Create a map before rewriting bullets. This stops important phrases from becoming an unconnected list.

Job phrase	Resume phrase or evidence	Best location
B2B sales pipeline	Managed a B2B sales pipeline worth $2.4M across 60 active accounts	Experience bullet and skills section
Salesforce	Salesforce opportunity management and reporting	Skills section and experience bullet
HubSpot	Built HubSpot campaign reports for weekly marketing reviews	Experience bullet
Conversion rates	Tracked lead-to-opportunity conversion rates by channel	Experience bullet
Excel dashboards	Created Excel dashboards using pivot tables and lookup formulas	Experience bullet and skills section
Lead generation	Partnered with marketing on lead generation campaigns	Experience bullet
SQL	No direct evidence	Leave out or verify before adding

Use the map to find gaps. A gap does not mean you should claim the experience. It means you need to decide whether the term is relevant, whether your existing work uses a different name, or whether the role is a poor fit.

If your old resume says “managed customer accounts,” and the job asks for “account management,” you can use the employer's phrase when it accurately describes your work. If your old resume says “built reports in a spreadsheet,” and you used Excel, name Excel. Specific wording gives the reader useful context.

Step 3: Put keywords in two places

Use a skills cluster for scanning and experience bullets for proof. Both have a job.

A skills section gives a parser and a recruiter a fast inventory. Experience bullets explain how you used those skills. Do not rely on the skills section alone. A list of tools without evidence can look inflated.

Example skills section

Skills

• Sales: B2B sales pipeline management, lead generation, account management
• Tools: Salesforce, HubSpot, Excel dashboards, SQL
• Reporting: Conversion rate analysis, campaign reporting, forecast tracking

Only include SQL in this example if the candidate can discuss how they used it. Otherwise, remove it. You can also split the section into “Technical Skills” and “Sales Skills” if that better matches the job and your background.

Place the strongest job terms in the first relevant experience bullets. A hiring reader should see the skill connected to an action and outcome.

Natural bullet versus keyword stuffing

Stuffed version:

Managed B2B sales pipeline, Salesforce, HubSpot, Excel, SQL, lead generation, conversion rates, dashboards, reporting, account management, and marketing campaigns.

This bullet reads like an inventory. It does not tell the reader what happened. It also lists SQL without evidence.

Natural version:

Managed a $2.4M B2B sales pipeline in Salesforce, built Excel dashboards to track conversion rates, and partnered with marketing on lead generation campaigns that increased qualified opportunities by 18%.

The natural version uses the relevant phrases once, connects them to actions, and gives the reader a result. If the candidate did not use SQL, it stays out.

Do not hide keywords in white text, tiny type, a footer, or a graphic. Hidden text is not honest content, and it can create a poor document for people reading the file. Keep the resume readable at normal zoom. Avoid stuffing the same tool into every bullet. One strong skills entry and one or two accurate evidence points are usually more useful than repetition.

Step 4: Check the file after editing

A PDF can look correct on screen and still copy badly into plain text. Tables, text boxes, icons, headers, columns, and decorative elements can affect how content is read. Use standard section headings such as Summary, Skills, Experience, Education, and Certifications.

Run your edited file through the job description keyword extractor. Paste the same job description and optionally upload your resume PDF. The tool lists must-haves, tools, and nice-to-haves, then marks which keywords appear in the file. It scans the PDF for the result and does not save it to an account. This is a coverage check, not a guarantee of how an employer's ATS will process the file.

You can also paste the job into YourUnique.cv if you want a tailored draft based on your real profile facts. Review every suggested phrase before using it. The product can draft and provide an ATS read against that job, but its score is not the number produced by Workday, Greenhouse, or another employer system.

Fix common keyword mistakes

Using a synonym instead of the named tool

“Data analysis software” is weaker than “Excel” when the job specifically requests Excel and you have used it. Keep the named tool, then add a broader category only when it helps the reader.

Copying every preferred qualification

Preferred does not mean mandatory. Rank phrases by relevance and evidence. A smaller list of accurate terms is better than a long list of unsupported claims.

Listing skills with no dates or context

Your experience section should make the skill credible. Add the employer, role, dates, task, scope, and result where possible. Do not force a number into every bullet. State the work clearly when a result is not available.

Changing your job title too far

You may clarify a title with a truthful parenthetical if the original title is unclear, but do not replace it with a more senior or different role. Keyword alignment must not change your work history.

Editing only the skills section

A parser may find the term, but a person still needs to see evidence. Update the first five relevant bullets before spending time on low-priority wording elsewhere.

For more on interpreting automated checks, read ATS Resume Checker: What the Number Means and What to Change. A public checker can identify useful gaps, but it cannot prove the result is identical to an employer's system.

A repeatable five-minute review

Before each application, compare your resume with the job post in this order:

1. Highlight the exact tools and required skills.
2. Mark each term as supported, unclear, or unsupported.
3. Add supported terms to the skills cluster.
4. Add the most relevant terms to real experience bullets.
5. Remove unsupported terms and repeated filler.
6. Copy the final resume into a plain-text editor and check that headings, dates, employers, and skills remain readable.

If you want to keep your current layout while tailoring from profile facts, sign up for YourUnique.cv. You can also review its resume templates, but choose a design that keeps the text easy to parse and scan.

Apply today checklist

• Export one clean PDF with a clear file name.
• Use standard headings for Summary, Skills, Experience, and Education.
• Add the job's accurate must-have skills and named tools.
• Put those terms in a skills cluster and support them in up to five relevant bullets.
• Remove unsupported claims, keyword repetition, and hidden white text.
• Paste the PDF text into a plain-text editor and check the reading order.
• Run the final file and job post through the job description keyword extractor.