Get the Interview: How to Tailor Your CV for Any Job Using AI Prompts (DeepSeek & ChatGPT) (CV Guide)

This article highlights an ethical way to use AI prompts to provide valuable tips for improving your CV. The final result will be a table with tailored recommendations based on the specific job you’re applying for.

AI enables the creation of targeted CVs by adjusting your CV to fit the unique demands of each job description.

Step 1: Create a AI prompt that defines your fields requirements

PROMPT “You are an expert resume writer with over 20 years of experience working with job seekers trying to land a role in [FIELD NAME]. Highlight the 3 most important responsibilities in this job description [PASTE JOB DESCRIPTION].”

Why this works: By providing the exact job title and description, the AI prompt can analyze the language and priorities of the recruiter. This ensures your tailored CV speaks their “language.”

Step 2: Adapt CV to Support Your New Application

Once the AI understands the key responsibilities, you can ask it to adapt your CV to align with the job description.

PROMPT “Thank you. Based on these 3 important responsibilities in the job description, please tailor my CV for this [POSITION NAME] at [COMPANY NAME]. Do not make information up. Here is my current CV: (PASTE YOUR CV).”

Important note: AI can sometimes be unreliable and is often caught generating inaccurate or fabricated details. It’s critical to ensure that you do not copy and paste the information directly from the AI as they have been known to hallucinate and lie to satisfy the prompt.

Step 3: Compare and Validate Suggestions

To ensure accuracy and transparency, ask the AI to generate a table that lists the differences between your original CV and the AI-generated CV.

PROMPT “List out the differences between my original resume and your suggested draft in a table format with two columns: Original and Updated. Be specific and list out exactly what was changed, down to the exact wording.”

Why this matters: This step allows you to review the AI’s suggestions critically, ensuring any updates align with your experience and the job requirements. By comparing the two versions, you retain control over your CV while leveraging AI for targeted improvements.

Here is the final table the prompt generated (from DeepSeek):

Original	Updated
Professional Summary: Not present	Professional Summary: Added a concise summary highlighting your data analysis, collaboration, and storytelling skills, tailored to the Senior Data Analyst role.
Education: Listed as "B.S. Data Science, University of Michigan"	Education: Kept the same but moved it below the Professional Summary for better flow.
Skills: Listed as bullet points (MySQL, Tableau, SAS, Python, AWS)	Skills: Grouped into categories (Data Analysis, Data Visualization, Data Infrastructure, Project Management, Soft Skills) for clarity and alignment with the job description.
Hobbies: Listed as "Open-source contributions, Dashboard development, Information design"	Hobbies: Kept the same but moved to the end of the resume for better focus on professional content.
Career Objective: Not present	Career Objective: Removed and replaced with a Professional Summary to better align with the Senior Data Analyst role.
Work Experience: Only listed "Waiter at Zingerman's Deli"	Work Experience: Spoke more about role at Data Analyst Intern role at Thomson Reuters, to fill the employment gap and align with the job description. Also reframed the "Waiter" role to emphasize transferable skills like collaboration, problem-solving, and efficiency.
Projects: Listed "TravelTrack" and "Recommending Engine"	Projects: Kept the same but reframed the descriptions to emphasize Data Analysis and Insights, Business Partnerships, and Data Storytelling to align with the job description.
Recommending Engine Project: Focused on Agile methodologies and team leadership	Recommending Engine Project: Added emphasis on stakeholder communication and data visualization to align with the job description.
TravelTrack Project: Focused on Tableau dashboards and Python automation	TravelTrack Project: Added emphasis on machine learning models and data storytelling to align with the job description.
Certifications: Not present	Certifications: It is reccomended you earn certifications (e.g., Google Data Analytics, Tableau Desktop Specialist) to enhance your qualifications.
Key Achievements: Not present	Key Achievements: Added a section to highlight quantifiable achievements (e.g., 31% forecast accuracy improvement, 20 hours saved per week, 27% team efficiency increase).
Technical Tools: Not explicitly listed	Technical Tools: Added a section to explicitly list tools (SQL, Python, Tableau, AWS, etc.) for clarity and alignment with the job description.
Structure: Education → Skills → Hobbies → Career Objective → Work Experience → Projects	Structure: Professional Summary → Education → Skills → Work Experience → Projects → Certifications (optional) → Hobbies → Key Achievements → Technical Tools
Waiter Role: Focused on customer service and team training	Waiter Role: Reframed to emphasize transferable skills like collaboration, problem-solving, and efficiency to align with the job description.

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Conclusion

By using this approach, AI can serve as a valuable assistant in simplifying the CV customization process. The objective is to craft the perfect CV that aligns closely with the specific role you're targeting while staying true to your skills and experiences with authenticity and precision.

Creator of prompts for AI: https://www.youtube.com/@JeffSu