AI Resume and LinkedIn Prompts That Get You Noticed by Recruiters

A recruiter spends about seven seconds on your resume and a few more on your LinkedIn profile. Those two documents decide whether you ever get a real conversation. If they read as generic, you are filtered out before a human pays attention. Here is how to use AI to fix both — properly, with real filled-in examples you can copy.

Why Generic Gets Filtered

Most resumes fail for one reason: they list responsibilities instead of results. "Handled customer enquiries" tells a recruiter nothing. "Resolved 40+ customer tickets daily with a 95% satisfaction score" tells them everything. AI is very good at making that switch — if you ask it correctly.

The Resume Optimisation Prompt

"Rewrite my resume bullet points to sound more achievement-focused, professional, and ATS-friendly for remote customer support roles. Here is my current content: 'Responded to customer questions on email and live chat. Solved problems and escalated difficult cases to my supervisor.'"

Then layer in even more detail. Add:

• the exact job title you are applying for
• the industry — for example, SaaS, e-commerce, or fintech
• the required skills listed in the posting, such as Zendesk or Intercom
• your current resume content, pasted in full

The output gets sharper with every piece of context you add.

Going Deeper: Fix Bullets One at a Time

For your most important roles, work bullet by bullet:

"Here is one bullet point from my resume: 'Handled customer enquiries by email and chat.' Rewrite it three ways — each one quantified, achievement-focused, and using keywords from this job description: 'We need a support specialist experienced with Zendesk who can maintain a 90%+ customer satisfaction score and fast response times.'"

Pick the version that is true and sounds most like you.

The LinkedIn Summary Prompt

Your LinkedIn summary is not a formality — it is what makes you appear in recruiter searches.

"Write a professional LinkedIn summary for a customer support specialist with one year of experience, looking for remote roles. Keep it warm, specific, and under 150 words."

Four More LinkedIn Prompts Worth Saving

• Headline: "Write 5 LinkedIn headline options for a remote customer support specialist that include keywords recruiters search for."
• Keywords: "List the keywords a recruiter would search to find a remote customer support specialist, so I can work them into my profile naturally."
• Skills section: "Suggest the 10 most relevant skills to list for a remote customer support specialist based on current job postings."
• Experience: "Rewrite this LinkedIn experience description to be results-focused and easy to scan: 'I worked as a support agent answering tickets and helping customers with their accounts.'"

The ATS Reality Check

Most remote applications pass through an applicant tracking system before a person sees them. ATS software scans for keywords that match the job description. This is why pasting the actual posting into your prompt matters — you want AI matching real language, not guessing.

Personalise Before You Publish

AI gives you a strong, structured draft. It cannot give you your story. Before anything goes live, add a real achievement, a specific number, a detail only you would know. The goal is not to sound impressive — it is to sound like a real person who is genuinely good at the job.