How to use AI in your job search (without sounding like AI)

Where AI helps and where it does not

AI is good at work that starts from text you give it: pulling the stated requirements out of a posting, turning notes into a first draft, tightening wording, suggesting practice questions and checking tone. It is not good at knowing your history, deciding what to apply for or checking facts. NIST’s generative AI profile defines confabulation as “the production of confidently stated but erroneous or false content,” which is why every claim in a draft needs your check.¹

Early research points the same way. In a working paper on a large online labor platform that introduced an AI cover letter tool, access to the tool raised callback rates, time spent editing the drafts was positively correlated with hiring success, and the link between a letter’s match to the job post and callbacks fell by 51%, which the authors read as the tool reducing what a cover letter signals.² A separate working paper found employers on a digital labor platform were willing to pay more for customized applications before large language models, but not after.³ Both are preprints from online labor markets, not typical hiring, so treat them as signals, not proof.

Tailor a résumé without inventing anything

Tailoring means choosing which true things to show first, not adding new ones. CareerOneStop, a site sponsored by the U.S. Department of Labor, advises customizing part of your résumé to each job, finding keywords by scanning postings for skills, requirements and credentials, and asking at least two people to review the result.⁴

1. Give the tool the posting and your full résumé, and ask it to list the requirements the posting states.
2. For each requirement, ask it to quote the line from your résumé that supports it, or say “not shown.” Do not let it add experience.
3. Reorder and reword the lines that are true, using the posting’s own terms where they match what you did.
4. Read the result against your real history. Delete anything you could not explain for two minutes in an interview.
5. Ask a person to read it before you send it.

Cover letters: draft with AI, then rewrite

Give the tool three true specifics, such as why this employer, one project you did and one result, and ask for a short draft. Then rewrite it. Replace generic sentences with your own, cut phrases you would never say aloud, read it out loud and check every claim against your résumé.

Some employers say they are spotting AI in applications. In the National Association of Colleges and Employers’ spring 2026 survey, 44% of the 159 employers who answered said they had detected AI-generated applications and 20% used tools to detect AI assistance in applications, testing or interviews.⁵ The survey is about hiring the class of 2026, so it describes entry-level hiring more than the whole market. In a survey that Greenhouse, a hiring-software company, published in November 2025, 65% of U.S. hiring managers said they had caught applicants using AI deceptively, such as reading from AI-generated scripts (32%), hiding prompt injections in résumés (22%) or appearing as deepfakes (18%).⁶ That is a vendor survey, and its examples are deception rather than ordinary drafting help.

How to avoid sounding like AI

Text that sounds machine-made is often generic rather than wrong. Edit for specifics only you can supply:

• Open with something particular to the role or the company, not a general statement of enthusiasm.
• Swap adjectives for facts: a number, a name or a result you can verify.
• Cut stock phrases you would not say to a colleague.
• Keep most sentences short and vary their length.
• Read it aloud. Anything you stumble over is probably not how you write.
• Keep it to the length the application asks for. A tool will happily write more than anyone wants to read.

Interview prep and company research

CareerOneStop suggests listing the requirements from the posting, writing your qualifications next to each and planning how to address gaps, then writing out answers to 10 or more common questions using stories from your past experience.⁷ AI can draft likely questions from the posting, play the interviewer and tell you where an answer is vague. The stories have to be yours.

For company research, treat a model’s summary as a lead, not a fact, and check it against the employer’s own site and, for public companies, the filings the SEC offers free on EDGAR.⁸ LAYIQ’s company pages list a company’s current openings.

What not to do

• Do not invent experience

  Do not add skills, titles, degrees, dates or numbers you cannot back up. Models can state invented details with confidence,¹ and 74% of hiring managers in Greenhouse’s survey said they were more concerned about fake credentials, deepfakes or misrepresented experience than a year earlier.⁶

• Do not stuff keywords or hide text

  List the skills you actually have, in the posting’s words where they match. In Greenhouse’s survey, 22% of U.S. hiring managers said they had caught prompt injections, hidden text meant to fool screening software, in résumés.⁶ For how screening software reads a résumé, see does an ATS reject your résumé.

• Do not paste private data into a tool that keeps it

  Check the tool’s data policy first: whether inputs may be used to train models, how long they are kept and whether you can delete them. Policies differ between tools and plans and they change. NIST notes that models “may leak, generate, or correctly infer sensitive information about individuals.”¹ Leave out Social Security, bank and ID numbers, your birth date and home address, and other people’s details such as references’ contact information or a current employer’s confidential material.

• Do not send a draft you have not read

  Check for the wrong company name, leftover placeholders and claims you cannot support. You are the one making the claims.

How LAYIQ uses AI

Anyone can search LAYIQ without an account. An account adds Fit Analysis, which compares what a posting states with the evidence in your résumé, and tailored résumé and cover-letter drafts for a specific job. You review a draft before it goes anywhere, and nothing is sent to an employer unless you send it. For Fit Analysis, LAYIQ first reduces your résumé to professional statements and removes your name and contact details, where you live, employer and school names and exact dates before a model sees it. Drafting a tailored résumé or cover letter is different: the model works from your résumé and profile as you saved them, including your name, employers and dates, because the draft has to contain them. LAYIQ does not sell user data. It also says its results are one input to your own judgment, not a verdict.