ATS-Friendly CV vs AI-Friendly CV: How Job Seekers Should Write Their CV in 2026

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Dotof Team · 5 min read

For years, job seekers have been told the same advice: “Make your CV ATS-friendly.”

Countless articles recommend adding keywords, avoiding tables and using standard fonts to ensure your CV gets through an Applicant Tracking System (ATS).

While much of that advice is still useful, recruitment technology has evolved rapidly. Today, many employers are adopting AI-powered recruitment tools that don’t just search for keywords—they analyse context, achievements and overall candidate fit.

So the question is no longer: “Can my CV be read by the ATS?” It’s becoming: “Can my CV convince both AI and recruiters that I’m the right person for the job?”

Fortunately, the answer isn’t writing a longer CV or adding more keywords. It’s writing a smarter one.

First, understand the difference

A traditional ATS was primarily designed to organise applications and help recruiters search candidates using keywords and filters.

Modern AI recruitment systems go one step further. Instead of asking: “Does this CV contain the words we’re looking for?” AI increasingly asks: “Does this candidate have the experience, achievements and qualities that suggest they’ll succeed in this role?”

That shift changes how candidates should present themselves.

1. Stop listing responsibilities. Start showing results.

One of the biggest mistakes candidates make is describing what they were responsible for.

Instead of: Responsible for social media marketing. Write: Planned and managed digital marketing campaigns that increased website traffic by 45% within six months.

Or instead of: Responsible for recruitment. Write: Recruited over 50 technical professionals annually while reducing average hiring time by 30%.

AI understands measurable achievements far better than vague responsibilities. So do recruiters.

2. Use keywords naturally—don’t stuff them

Keywords still matter. Recruiters still search for terms like Financial Analysis, Project Management, Python, Procurement or React.

However, repeating keywords throughout your CV doesn’t make it stronger.

Instead of writing: Project Management • Agile • Scrum • Leadership • Leadership • Leadership — write naturally: Led a cross-functional Agile project involving eight engineers and three product managers, delivering the product two weeks ahead of schedule.

The keywords are there. But they’re supported by evidence.

3. Quantify your achievements wherever possible

Numbers are easier for both recruiters and AI to understand.

Instead of saying: Improved customer satisfaction. Write: Increased customer satisfaction from 82% to 94% within one year.

Instead of: Managed a sales team. Write: Led a team of 12 sales consultants generating over HK$18 million in annual revenue.

Numbers provide credibility.

4. Explain the impact, not just the task

Many candidates stop after describing what they did. Go one step further. Answer: So what?

Instead of: Created monthly reports. Write: Built automated Power BI dashboards that reduced manual reporting time by six hours each week.

AI understands outcomes. Recruiters appreciate business impact.

5. Tell a coherent career story

AI doesn’t just analyse individual jobs. It increasingly understands career progression. Help it understand yours.

For example: Started in customer service before transitioning into product management, bringing strong customer insights into product strategy.

Or: Progressed from Software Engineer to Technical Lead within four years after leading multiple enterprise system implementations.

This helps explain your career direction instead of leaving recruiters to guess.

6. Tailor your CV for every role

One generic CV rarely performs as well as one tailored to the role. That doesn’t mean rewriting everything.

Usually, updating these sections is enough:

• Professional Summary
• Key Skills
• Most Relevant Achievements
• Featured Projects

Think about the hiring manager’s priorities rather than simply listing everything you’ve ever done.

7. Include more than technical skills

Employers aren’t only hiring for technical ability. They also evaluate:

• Leadership
• Collaboration
• Communication
• Problem-solving
• Adaptability
• Customer focus

Rather than claiming you possess these qualities, demonstrate them through examples.

For example: Facilitated weekly workshops between engineering and sales teams to improve product adoption. That shows communication. It doesn’t simply claim it.

8. Don’t hide important information

Recruiters shouldn’t have to search for basic details. Make important information easy to find, including:

• Work authorisation
• Languages
• Certifications
• Preferred location
• Portfolio or LinkedIn profile
• Availability (where appropriate)

The easier your CV is to understand, the easier it is to shortlist.

9. Keep formatting simple—but professional

Despite advances in AI, readability still matters. A clean CV benefits both technology and people.

Good practices include:

• Clear section headings
• Consistent formatting
• Professional fonts
• Sufficient white space
• Logical order

Avoid excessive graphics, decorative icons or complex layouts that distract from your content. Your experience—not your design—should be the focus.

10. Remember that AI doesn’t only read your CV

Increasingly, employers use AI to evaluate more than a document. Depending on the recruitment platform, employers may also consider:

• Career preferences
• Salary expectations
• Preferred industries
• Availability
• Skills assessments
• Practical job simulations
• Motivation for the role

That’s why completing your profile thoroughly is becoming just as important as uploading a strong CV. A complete profile gives employers a clearer understanding of who you are and what opportunities genuinely suit you.

The biggest mindset shift

Perhaps the biggest change isn’t technical. It’s psychological.

In the past, candidates often wrote CVs to pass software. Today, you should write your CV to communicate your value.

Instead of asking: “Which keywords should I add?” Ask yourself: “If someone only had one minute to understand why I’m the right candidate, would my CV make that obvious?”

That’s the question both recruiters and modern AI are increasingly trying to answer.

Final thoughts

A good CV has never been about tricking an ATS. And it isn’t about impressing AI either.

It’s about helping employers quickly understand what you’ve accomplished, what you’re capable of, and why you’re a strong fit for the role.

Clear, relevant and evidence-backed CVs will always stand out.

Instead of chasing the latest ATS “hack,” focus on telling a compelling professional story supported by real achievements. That’s what both recruiters—and the next generation of AI-powered hiring systems—are increasingly looking for.

About Dotof. At Dotof, we believe candidates should be recognised for more than just keywords on a CV. Our AI Recruitment Intelligence Platform helps employers understand each candidate through a richer combination of experience, achievements, career preferences and practical performance—giving great candidates more opportunities to be discovered for roles where they can truly thrive.