Resume AI Keyword Optimizer
Paste a job description and get the keywords the ATS will scan for, copy-ready resume sentence templates, and five pitfalls that get resumes filtered out.
How it works
- Paste the job description (or pick a target role to load a sample one). The tool scans it locally and groups keywords into hard skills, soft skills, tools and action verbs.
- Read the four keyword lists. Then use the three copy-ready sentence templates per category — they already embed the keywords, so you just slot in your real achievements.
- Check the five pitfalls and make sure your final resume doesn't do any of them. Keywords should live inside real experience bullets, never as a hidden list.
It tokenizes the job description you paste, then matches the words and phrases against four built-in lists: hard skills, soft skills, tools and action verbs. Frequent matches are grouped into four lists — no external NLP service is called, everything runs in your browser.
No. Applicant tracking systems and recruiters both punish invisible keyword lists. Use the keywords inside real sentences under real job titles, describing things you actually did. If you never touched a tool, don't list it.
ATS filters match strings, not meaning. If the JD says “customer success”, writing “client relations” may score zero, even though you mean the same thing. Mirror the JD's wording where you genuinely have the experience.
Paste the full posting if you can — skills sections and requirements are where keywords live. If it is very long, the first half (summary + responsibilities) already carries most keywords.
No. Everything runs 100% locally in your browser. The text you paste is never sent to a server, and it disappears when you close the tab.
Who this tool is for
This page is built for the moment you have one job posting open in one tab and your resume in another, and you have to decide what to change before the application deadline. That situation is common in administrative, HR, marketing, operations, customer support, sales and finance hiring, where the first reader is often a keyword filter rather than a person.
It is less useful if you have no target posting yet. The tool reads one job description at a time; it cannot tell you what a whole industry wants, and it does not score resumes. Use the ATS Match Checker when you already have a draft to compare against a specific posting.
How to read your result
After you press “Analyze keywords”, the first line reports how many terms were extracted and confirms four lists: hard skills, soft skills, tools and action verbs. Each list shows terms as chips with a small count, such as reporting ×3. The number is how many times that string appeared in the text you pasted, not a measure of how important the skill is to the employer. A term that appears once can still be a hard requirement, and a term repeated six times may simply be part of the company boilerplate.
Each list stops at twelve chips. A short list means the posting says little about that area, or the wording falls outside the built-in lists — the tool matches a fixed vocabulary. Below the chips you get three sentence templates per category. The templates are filled with the two highest-count terms from that category, which is why the result can read mechanically: “Used zendesk and slack to deliver a recurring monthly task 30% faster than the previous process.” Treat that as a scaffold to rewrite, not a sentence to paste. If a category is empty, the panel explains what to do instead — for example, naming the tools you actually open every day.
The last block is a five-item pitfall list plus a closing rule of thumb; read it after you have drafted your bullets, as a checklist for the version you are about to submit.
A worked example
Suppose you paste a posting for a customer support specialist at a software company, mentioning ticket replies, knowledge base articles and a CRM. A typical run might return hard skills such as customer service ×3 and communication ×2, soft skills such as problem-solving ×2 and empathy ×1, tools such as zendesk ×2 and slack ×1, and action verbs such as resolved ×2 and documented ×1.
The useful move is not to copy all eight terms into a skills line. It is to look at your own history and ask which you can prove. If you spent two years answering tickets at a retail electronics chain, rewrite one bullet as: “Resolved 40 to 60 customer emails per shift in Zendesk, tagged recurring faults and documented the five most common fixes in the internal wiki.” That single sentence carries the hard skill, the tool, the verb and a scope number, and it is true. The tools template may suggest managing the team's zendesk setup — discard that wording, but keep the shape of tool plus action plus scope.
Common mistakes
- Pasting only the job title. A title plus one line leaves almost nothing to count, and short inputs are rejected outright.
- Reading the counts as priority. Frequency reflects repetition in the ad, not weighting in the employer's filter.
- Pasting the templates unchanged. They contain empty slots for your numbers and scope. Submitted as-is, they read like every other generated resume.
- Listing a tool you have never opened. A keyword match may earn a call, but the first technical question exposes the gap, and that cost lands on you.
- Rewriting every category at once. Change the two or three bullets that carry the most evidence, then re-run the analysis to see whether the picture actually moved.
One boundary: this tool organises wording, not experience. If the posting asks for payroll processing and you have never run a payroll cycle, the honest options are a closer role or a cover note saying you are learning it — not adding the phrase and hoping nobody asks.