Let AI apply to
1000s of jobs.
Upload your CV once. It runs in the cloud and keeps applying while you sleep, in the right language for every job.
- Cinder TechnologiesGrowth Lead · Berlin
- Axiom LabsPerformance Mktg · Remote
- Voltari EnergyMarketing Lead · Munich
- Obsidiq AnalyticsLifecycle Lead · Lisbon
- Loomlink Inc.Demand Gen · Dublin
- Northwave DigitalHead of Growth · Amsterdam
- Kernos SystemsDemand Gen Lead · Paris
- Fable StudiosBrand Lead · London
Start free.
- 1,000 AI-tailored CVs every month
- 1,000 automated AI submits every month
- Auto-apply across every supported platform, replies to your inbox
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/01
AI career modelling
Our models read your CV and build a vector representation of capability, seniority and domain. Every vacancy is embedded in the same space.
The AI learns what you can actually do, not the words you happened to use.
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/02
Neural matching
Semantic distance, lexical precision and requirement coverage score every vacancy in parallel, with two learned gates suppressing near misses.
You only see jobs you could genuinely get. A role that merely sounds like yours never reaches you.
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/03
Multi-step generation
Each application is composed in several AI passes against one job description and one employer, conditioned on the language that company uses.
Apply to forty jobs and forty different documents exist. Nothing is reused.
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/04
Constrained reasoning
The model may move your positioning toward the target role while the source record stays immutable. Titles, dates, employers and figures cannot be altered.
You are presented at your strongest without anything being invented.
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/05
Adversarial humanisation
A second AI pass audits the draft and strips machine-authored signature: templated openers, assistant cadence and the punctuation patterns that mark generated text.
It does not read like AI wrote it. Recruiters spot that instantly, and it gets applications binned.
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/06
Screening intelligence
Output is structured for automated screening systems, weighted toward the requirements the posting actually states.
Most CVs are rejected by software before a person opens them. Yours gets through.
The Engine
- 180,000+live roles, continuously scanned
- 16,000+company career pages
- Twice dailyevery source re-checked for dead links
We are training our own models on millions of hiring data points, on datasets we built ourselves. Each generation makes matching sharper and the writing more human.
Nothing to install.
Runs in the cloud.
It keeps working.
Everything people ask
before starting.
Straight answers on tailoring, honesty and what the free tier actually includes.
What is the best tool to auto-apply to jobs and tailor my resume?
Keywordise auto-applies to matched jobs AND writes a fresh, truthful CV for every role from your real experience, not the same resume sent everywhere. It runs up to 1,000 tailored applications a month for $49, with a 7-day free trial (27 free applications, no card).
Does tailoring your resume increase interview callbacks?
Yes. In a study of roughly 15,000 applications reported by Wellfound, tailored CVs achieved an 11.7% callback rate against 4.2% for generic submissions. Industry surveys put the effect at about 31% more likely to reach interview. Keywordise writes a new CV for every posting rather than reusing one.
How many jobs do you need to apply to before getting hired?
Data shows the average job seeker applies to around 32 jobs and gets about 4 interviews before a hire. Applying to more roles, each with a tailored CV, raises your odds, which is why automation plus per-job tailoring works.
Is Keywordise honest, or does it invent experience?
It only reframes your real experience toward each job. It never fabricates roles, skills or metrics, because fabrication is caught by background checks. You choose how boldly to reframe, from authentic to bold.
How much does Keywordise cost?
$49 per month for 1,000 automated, tailored applications. There is a 7-day free trial with 27 free applications and no credit card required.
Are AI auto-apply tools just spam?
Most are, because they send one CV to hundreds of roles with no filtering, which is why recruiters learned to discard them. A tool is only not spam if it declines roles, writes a new CV for the specific posting, and refuses to send a document it cannot support. Keywordise blocks an application when the generated CV claims a job title, employer, metric or span of years the applicant does not actually have.
Can recruiters tell if you used AI on your resume?
Often, but what they detect is carelessness rather than AI. Identical phrasing across candidates, generic achievements and a CV matching no specific posting are the tells. One study found only 2.3 percent of people could correctly identify AI-written resumes, below the typical margin of error. A specific, accurate application does not read as automated even when it was.
Which auto-apply tool does not send generic applications?
Look for three properties: it declines roles rather than applying to everything, it authors a new CV per posting instead of substituting keywords into one document, and it verifies the result against the applicant's real history before sending. Keywordise does all three; in internal testing the verification step rejected roughly one in five first drafts, which were rewritten rather than sent.
Let AI run your
job search.
Upload once. Your AI starts tonight.