Using AI in Your Job Search: What Recruiters Actually Want to See

AI has become a normal part of looking for a job. Candidates use it to rewrite CVs, tailor cover letters and tidy LinkedIn profiles, and some rehearse interviews and salary negotiations with it. Used well, it saves time and helps you describe experience you have struggled to put into words.

Recruiters, meanwhile, keep receiving applications that look polished but say little about the person who sent them. They use AI too. In a UK survey by CV-Library, 83% of recruiters said they use AI to speed up hiring. Yet a separate YouGov survey for HireRight found that only 16% of UK HR decision-makers viewed candidates' use of AI positively. Their worry is whether the finished application still reflects you.

Should you use AI in your job search? Yes, as long as everything it helps you write describes experience you have.

Where can AI help your job search?

You can hand AI the repetitive parts of applying and use it to look at your experience from a different angle. If you have spent ten years in a technical environment, that outside view helps when you have to fit a decade of projects onto two pages.

The most useful applications tend to be:

• Reviewing your CV against a job description. Ask AI to identify the capabilities, technologies and experience the advert prioritises, then check your CV covers them.
• Improving existing CV bullets. Give it the real achievement first, then ask for wording that is shorter or more focused on the outcome.
• Planning a cover letter. Let AI help structure the argument, but write the substance yourself, around why this company and this role interest you.
• Tightening your LinkedIn profile. It can sharpen headlines, summaries and role descriptions without changing the facts.
• Preparing for interviews. Ask it to generate likely questions, challenge your answers or play an interviewer who keeps asking follow-ups.
• Researching unfamiliar ground. If an advert mentions a technology, operating model or business problem you do not understand, AI is a reasonable place to start learning.

Some candidates also use it to plan networking or learn new skills. In each case, you get the most from it as a preparation tool, with you deciding what goes out under your name.

Why letting AI write your whole CV backfires

Recruiters read applications all day, and many candidates now run similar prompts against the same job descriptions. You can guess the result: generic phrasing, CVs that echo the advert line by line, and little detail about the person behind them.

If you paste the advert into an AI tool and ask it to rewrite your CV, expect:

• language you would never use yourself
• responsibilities lifted from the vacancy almost word for word
• exaggerated claims or invented metrics
• paragraphs heavy on keywords and light on evidence
• achievements you would struggle to explain in an interview

Draw the line between optimisation and fabrication. If you delivered a major ERP programme, ask AI to help you describe it better. If it turns that programme into a £20 million global transformation you never led, delete the sentence before an interviewer asks you about it.

A better way to use AI on your CV

In one field experiment, the CV platform Kickresume sent 204 real applications between April and June 2026, mostly for customer service and sales roles. It rotated four versions of the same candidate's CV, sending 51 applications with each. The generic AI CV, sent unedited, drew a positive response 10% of the time, the weakest result in the study. When Kickresume tailored that same CV to each job description, the rate rose to 18%. The best result, at 31%, came from a human-written CV with a single-column layout.

Kickresume sent each version to different employers at different times, so treat the numbers as a guide. Even so, the AI CV did worst as a generic document and improved once someone shaped it around a specific job.

Try a more deliberate process:

1. Understand the job first. Ask AI to pull out the core capabilities, responsibilities and recurring themes from the advert. Do not ask it to rewrite anything yet.
2. Compare the requirements with your experience. Work out where the real overlap is. You do not need to mirror every line of the specification.
3. Give AI facts, not a blank page. Rather than asking it to "rewrite my CV for this role", start from what you know is true: what you delivered, the size of the environment, the technologies involved, who you worked with and what changed as a result.
4. Use AI to improve the communication. Ask it to tighten the wording, bring outcomes forward or remove repetition.
5. Rewrite it again yourself. If a sentence does not sound like something you would say, change it.

Kickresume's own takeaway from the experiment was that AI should write the draft and you should make the decisions. You stay responsible for the facts and the final wording.

Why does your application still need to sound like you?

In senior and specialist technology roles, a recruiter who reads "cloud migration" or "data platform" on your CV will want the context behind it:

• What was the problem?
• What did you personally own?
• How complex was the environment?
• Which decisions did you make?
• What changed because you were there?

You are the only one who can answer those questions, and the answers give a recruiter something to remember. After a day of formulaic applications, the candidate who explains a messy migration in plain words stands out. Nobody hands out prizes for CV prose, so aim for something that makes a recruiter want to speak to you.

How should you use AI for interview preparation?

Interview preparation is one of the best uses of AI. You get to think through your experience before an interviewer pushes you on it. Paste in the job description and try prompts such as:

• What questions would you ask someone applying for this position?
• Which parts of my CV are likely to attract follow-up questions?
• Challenge my answer to this competency question.
• What would a CTO want to understand about this project?
• Give me five follow-up questions based on the answer I have just provided.

Generating answers during the interview is a different matter. Interviewers watch for a pause followed by a long, polished answer. Once they suspect it, they tend to switch to deeper questioning or a live exercise. That is where borrowed answers fall apart, and you will struggle to win back their trust.

Use AI before the interview to sharpen your thinking, and leave it closed once the interview starts. Interviewers will forgive an answer with rough edges if you can explain every part of it.

Expect recruiters to dig deeper

As more candidates use AI on their applications, expect interviewers to spend more time checking what your CV claims. Few will ask whether you used ChatGPT, but most will ask you to talk them through the work behind each claim.

If your CV says you:

• reduced infrastructure costs by 30%
• delivered an enterprise cloud migration
• transformed an engineering function
• implemented a new security framework
• built a data platform from scratch

then expect someone to ask how. Recruiters and hiring managers test claims like these with:

• detailed follow-up questions
• structured behavioural interviews
• portfolio reviews
• practical assessments

Test every line AI helps you write: could you spend five minutes explaining what happened? If not, take it off your CV.

Disclosure and confidentiality

Do you need to tell recruiters you used AI?

In most cases, no. Recruiters do not expect you to list the tools you used to prepare an application. Some appreciate a mention, but you have no obligation to give one.

Accuracy matters more. Polishing the wording of work you did and inventing work you did not do sit at opposite ends of the scale. You have to stand behind every sentence on your CV, whoever drafted it.

What should you keep out of AI tools?

When you paste sensitive material into a third-party AI tool, you create privacy and confidentiality risks for yourself and for your current or former employer. In most cases you can strip out the identifying detail and still get the help you need:

• Commercially sensitive project information. Describe the problem rather than uploading the project document.
• Proprietary code. Write a generic equivalent that illustrates the same point.
• Internal company documents. Summarise what you need help with instead of pasting the source.
• Unnecessary personal information. Keep prompts focused on your skills and experience.

If you are still in a role and want to explore the market without your employer hearing about it, our CIO's guide to discreet job hunting sets out how.

FAQs

Is it OK to use ChatGPT to write my CV? Yes, though you will get better results using it to improve a CV than to create one from nothing. Give it accurate information about your experience and ask it to improve the structure or wording. Then check every line for accuracy and for whether it still sounds like you.

Can recruiters tell when a CV has been written by AI? Sometimes. Recruiters notice generic language, unusual vocabulary, repetition and wording lifted from the job description. Spend your effort on specific examples and real detail instead of trying to make your AI use undetectable.

Should I use AI during an interview? Use it to prepare, and keep it out of the interview itself. You need to explain your thinking and handle follow-up questions in your own words, without an external tool feeding you lines.

The simplest rule for using AI in your job search

Use AI to help a recruiter understand you faster: to test your thinking, tighten your structure and spot gaps in how you describe real achievements. Keep it away from invented experience and corporate jargon, and remove anything you could not defend in an interview.

AI will save you time on applications. The interview still comes down to your own experience and how well you explain it.