How to Use AI when looking for a job

Digital tools are fundamentally changing the way companies search for candidates. ATS systems filter resumes before they ever reach a human recruiter, and LinkedIn algorithms influence who gets into recruiters’ search results in the first place.

Artificial intelligence can be a powerful assistant in this process if used correctly.

When your CV is not read by a human

When you send your resume to a company, it is no longer guaranteed that a recruiter will be the first person to see it. Most candidates now go through an ATS (Applicant Tracking System) first, a system that collects, sorts, and filters resumes based on keywords and structure. According to Jobscan, ATS is used by up to 97.8% of Fortune

However, these systems can be both highly accurate and surprisingly limited. Harvard Business School points out that automated screening systems can exclude or overlook qualified candidates if their resumes do not match specific criteria.

Besides filtering submitted resumes, recruiter search and candidate database systems also play an important role. Recruiters today do not only search among applicants who have already applied. They actively look for talents based on keywords, experience, location, or seniority. In other words, you can remain invisible simply because the system never finds you.

Simply put, your CV may not move forward if it:

• does not contain the right keywords
• uses an unsuitable format
• contains valuable information but is written in a way that AI systems cannot properly interpret

The question is not only whether you are a good candidate, but whether the system can correctly understand your profile. That is why it is important to know how to use AI so that it works in your favor, not against you.

How AI can help

AI is a useful tool in the job search process. However, it is not a magical reality editor that can turn an average CV into the profile of a senior expert. It works best when you need to improve structure, wording, and clarity. It fails when it starts inventing your professional story for you.

AI can:

• rewrite a CV into an ATS-friendly structure
• add relevant keywords from a job description
• improve the way achievements and results are described
• help prepare answers for interviews
• simulate interview situations

AI cannot (and should not do for you):

• invent work experience you do not have
• add fake certifications
• create fictional projects
• exaggerate results

This approach is also supported by UNESCO recommendations on the use of generative AI in education and professional preparation. AI should support learning, skill development, and the formulation of your own experiences, not replace your own work or create a false representation of your abilities.

What you should never put into AI 

Before ChatGPT can help you improve your resume, it needs one thing: data. A CV is essentially a collection of sensitive personal information that should not be shared without careful consideration.

Before uploading your CV to an AI tool, consider:

• removing your name, phone number, and email address
• removing your address and sensitive identifiers
• avoiding internal company project information
• anonymizing information that is not publicly available

ChatGPT privacy settings are another layer of protection worth actively managing. This includes anonymizing data, reviewing sharing options, and checking how conversations are stored.

EU AI Act classifies AI systems used in recruitment as high-risk systems, which means they are subject to stricter requirements regarding transparency, control, and responsibility when handling candidate data.
The GDPR establishes clear rules for processing personal data, but caution is still necessary because AI tools may process information in ways users do not always fully control.

How to Communicate With AI So It Actually Helps You

Many people start using AI intuitively: they give it a task and wait for the result. However, AI cannot read your mind. The more precisely you define the framework, the closer the output will be to what you actually need.
A prompt is not magic. It is simply a well-structured instruction that provides clear direction, context, and boundaries.

A good prompt contains:

How to analyze a job description

This prompt helps you quickly understand what a company is actually looking for and how to adapt your CV or cover letter accordingly.

Prompt:
Act as a career advisor.
Your task is to analyze a job description and identify the key requirements, skills, and expectations of the employer.
Context: You are helping me adapt my CV for a specific position and ATS screening.
Work with this job description: [insert text]
Follow these limitations: Do not invent new experiences or unrealistic interpretations.
Return the output as:

• key requirements,
• ATS keywords,
• recommendations for CV adjustments.

How to Rewrite Your CV Without Losing Your Real Experience (CAR Method)

The CAR (Context - Action - Result) method helps structure professional experience so that it is specific, measurable, and easier for recruiters to understand.
Prompt:
Act as an HR specialist.
Your task is to rewrite the following section of my CV using the CAR method so that it is clear, specific, and relevant for recruiter screening.
Context: I am optimizing my CV for an applicant tracking system and LinkedIn profile.
Work with this text: [insert CV section]
Follow these limitations: Do not change facts. Only improve the wording and structure.
Return the output in CAR format:

• Context
• Action
• Result

How to use the STAR method when preparing for an interview

The STAR method (Situation – Task – Action – Result) is a simple framework for structuring answers to behavioral interview questions. It helps keep answers specific, understandable, and based on real experience.

In practice, you first prepare short stories from your own experience and then organize them using the STAR structure so recruiters can easily understand the situation, your role, and the impact of your actions.

Reverse prompting as interview preparation

Many people ask AI to immediately provide answers. A more effective approach is to do the opposite: let AI ask questions first. Only then can it create a more relevant output.

The “Ask me first” method works simply. AI first asks about the role, CV, seniority level, company, and interview type. Once it has enough context, it switches into recruiter mode and simulates a realistic interview, including feedback.

The result is not a generic conversation, but preparation that is much closer to the real interview experience.

A LinkedIn profile that recruiters and algorithms can find

LinkedIn is no longer just an online resume. Recruiters and AI tools use it to actively search for candidates based on experience, skills, and keywords.

According to LinkedIn, their Hiring Assistant helps recruiters save more than four hours per role, reduces the number of profiles they need to review by 62%, and increases InMail response rates by 69%.

Technically, the AI system works by analyzing information from your profile, CV, and screening answers, then evaluating how relevant your experience is for a specific position.

Another factor that can influence visibility on LinkedIn is so-called dwell time, meaning how long users spend engaging with your content or profile. This metric is relevant mainly for LinkedIn content visibility and does not work the same way as CV screening.

How to optimize your profile without keyword stuffing

AI can help you identify missing keywords or improve profile wording. The goal, however, is not to “trick” the algorithm, but to create a profile that is understandable for both recruiters and search systems.

A strong profile:

• uses keywords naturally,
• describes results, not only job titles,
• has a clear headline (what you do + your strengths),
• includes specific projects and achievements.

A weak profile:

• is only a list of buzzwords without context,
• uses general statements without measurable results,
• does not make it clear what you actually do or what value you bring.

Just like with a CV, the best LinkedIn profile is not the one with the highest number of keywords. It is the one that quickly and credibly explains who you are, what you can do, and what value you can bring to an employer.

How Czech universities teach students to work with AI in career preparation

Some Czech universities are already integrating AI into career preparation, mainly as support for creating CVs, cover letters, and navigating the job market.

University of New York in Prague (UNYP) uses the CareerSet platform for CV prescreening and support with creating resumes and cover letters. The university also focuses on ethical questions related to AI in recruitment and data protection, as shown in a study published by Emerald Publishing.

David Hartman from Unicorn University emphasizes that using AI is not only about operating tools, but also about understanding how they work. This approach is reflected in activities of the Unicorn AI Research Center (URC), which connects education with practical applications. Students work with AI through practical projects and tools such as uuBusinessChat, while developing prompt literacy as an important skill for future professional practice.

Together, these examples show two important sides of AI education: learning how to use AI effectively and understanding its limitations, ethical challenges, and impact on real-world processes.

AI can help you reach the interview, but it cannot take it for you

AI can significantly improve the quality of your CV, LinkedIn profile, and interview preparation. It can help you pass ATS filters, describe your experience more effectively, and prepare for questions that might otherwise surprise you.

However, the interview itself still depends on you: what you have actually done, how well you can explain it, and whether you can support your answers with real examples.

Credibility does not come only from a well-written CV. It comes from the experience behind it, the results you can demonstrate, and your ability to explain your decisions.

AI can help you prepare better, but during the interview, your experience and your own answers remain the most important part.

SOURCES: 

https://www.jobscan.co/blog/fortune-500-use-applicant-tracking-systems/
https://www.hbs.edu/managing-the-future-of-work/research/Pages/hidden-workers-untapped-talent.aspx
https://news.linkedin.com/2025/hiring-assistant-globally-available
https://www.linkedin.com/blog/engineering/hiring/hiring-assistant-shaped-by-customers-powered-by-ai-innovation
https://www.linkedin.com/blog/engineering/feed/understanding-feed-dwell-time
https://platform.openai.com/docs/guides/prompt-engineering
https://openai.com/consumer-privacy/
https://eur-lex.europa.eu/eli/reg/2016/679/oj
https://www.unesco.org/en/articles/guidance-generative-ai-education-and-research
https://doaj.org/article/d01aa454c6ac474f91372a5c1701f3af
https://www.e15.cz/radce/umela-inteligence-je-jako-dalsi-prumyslova-revoluce-kdo-ji-zaspi-ten-prohraje-rika-david-hartman-1424922