How to Use AI for Job Search

Thousands of candidates now use AI for Job Search. Evidence has shown that AI can significantly reduce administrative burden, sharpen your messaging, and provide structured practice with useful feedback.

Think of it as a career co‑pilot: it speeds up research, drafting, and preparation so that you can focus on the human elements that matter most, such as building relationships and performing well in interviews.

The Five Effective Ways to Use AI for Job Search

1) Clarify Your Target Roles

Prompt: “Given my background in [industry], [skills], and achievements [X, Y, Z], what roles at the [Director/Senior Manager/IC] level best align with my profile? Please outline typical responsibilities, hiring criteria, and commonly used keywords.”

Output: A shortlist of suitable roles, core competencies, and keyword themes you can use to tailor your CV and LinkedIn profile.

2) Tailor Your CV to Each Posting Quickly

Paste the job description and Prompt AI: “Rewrite my CV bullet points to align with this job description, emphasising scope, metrics, and impact. Keep each bullet under two lines, begin with a strong verb, and quantify outcomes.”

Pro tip: Maintain a few role-specific CV versions (e.g., Programme Manager, Operations Lead) and then make light refinements per job description.

3) Optimise for ATS — Without Keyword Stuffing

Ask AI to extract hard skills, soft skills, tools, and domain terminology from the job description, then compare these with your CV.

Update your CV naturally (e.g., “Led stakeholder workshops using Miro and Power BI” rather than a list of keywords).

Bonus: Request a “skills matrix” mapping each job requirement to your supporting evidence.

4) Strengthen Your LinkedIn Presence

Headline prompt: “Rewrite my LinkedIn headline to include [role], [value proposition], and key [industry terms] in under 120 characters.”

About Section Guidance: Create a concise, skimmable narrative including: a brief career story, bullet-pointed achievements and a clear call to action for contact

5) Practise Interviews with Realistic Follow‑Ups

Use AI to run mock behavioural, situational, and structured interviews.

Ask for challenging follow-up questions such as: “What did you overlook?”, “Where did you fail?”, “Which metrics proved success?”

Request structured scorecards: “Assess my answer using leadership, collaboration, problem-solving, and measurable impact. Provide three improvements.”

What Not to Outsource to AI

Your personal story and voice: AI can refine wording, but your achievements must remain authentic.

Nuanced industry context: Always validate specifics with real people (mentors, peers, recruiters).

Ethics: Never exaggerate skills or tools. These will be tested during interviews.

A Simple Weekly Routine (90 Minutes)

Monday: Role targeting + job description analysis (20 minutes)

Tuesday: CV variants + LinkedIn refresh (20 minutes)

Wednesday: Draft outreach and send messages (20 minutes)

Thursday: Mock interviews (20 minutes)

Friday: Reflect, track metrics, plan next steps (10 minutes)

Mini Toolkit (Ready-to-Use Prompts)

“Turn this achievement into three ATS-friendly bullet points with metrics.”

“Create a 60‑second STAR story from this project.”

“Draft a polite salary deferral response for early screening.”

“Write a concise thank-you email referencing the priorities discussed and my relevant evidence.”

For experienced professionals looking for their next role, AI can partner to help accelerate your search.

Use AI to iterate and prepare more efficiently – not to replace the human connection, authenticity, and judgement that ultimately secure job offers.

Vic Okezie is a talent acquisition leader and coach. He coaches experienced professionals to help then land Senior IC, Director and Leadership roles. Learn more →

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