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Best Way to Phrase Achievements for AI Systems – Guide

Posted on October 07, 2025
Jane Smith
Career & Resume Expert
Jane Smith
Career & Resume Expert

Best Way to Phrase Achievements for AI Systems

In a world where Artificial Intelligence (AI) systems screen 75% of resumes before a human ever sees them【1】, the way you phrase your achievements can be the difference between landing an interview or disappearing into the digital void. This guide walks you through the best way to phrase achievements for AI systems, offering concrete examples, a step‑by‑step rewrite process, checklists, and FAQs that will help your resume speak fluently to both machines and hiring managers.


Why Precise Achievement Phrasing Matters to AI Recruiters

AI‑driven Applicant Tracking Systems (ATS) and resume‑parsing engines rely on keyword matching, pattern recognition, and quantifiable data to rank candidates. When you use vague language like "helped improve processes," the algorithm may miss the critical signals it needs to score you highly. Precise phrasing does three things:

  1. Feeds the parser – clear verbs and numbers are easy for AI to extract.
  2. Boosts relevance – industry‑specific terms align your profile with the job description.
  3. Shows impact – quantifiable results demonstrate value, a metric AI systems prioritize.

According to a recent LinkedIn Talent Insights report, resumes that include measurable outcomes receive 40% more callbacks than those that don’t【2】. The best way to phrase achievements for AI systems is therefore a blend of data, context, and AI‑friendly terminology.


Core Elements of an AI‑Friendly Achievement

Element What It Is How to Write It
Action Verb The first word that tells the AI what you did. Start with strong verbs like engineered, optimized, automated, launched.
Quantifiable Result Numbers, percentages, or time frames that the AI can parse. Include metrics (e.g., +25%, $1.2M, 3‑month).
Contextual Detail The scope, tools, or team involved. Mention technology stacks, team size, or business unit.
AI‑Relevant Keywords Terms that match the job posting and the AI’s taxonomy. Use words such as machine learning, predictive analytics, NLP, AI‑driven.

Definition: AI‑Relevant Keywords – specific buzzwords that AI parsers have been trained to recognize as indicators of technical competence in artificial‑intelligence roles.


Step‑by‑Step Guide to Rewriting an Achievement

Below is a repeatable workflow you can apply to any bullet point on your resume.

  1. Identify the original bullet.

    "Improved the reporting process."

  2. Extract the metric.
    • Ask yourself: How much faster? How much cost saved?
    • Example answer: Reduced report generation time from 4 hours to 30 minutes.
  3. Add AI‑specific terminology.
    • If you used a tool like Power BI or built a Python script, mention it.
  4. Structure using the core elements.
    • Action Verb + Context + Metric + AI Keyword.
  5. Proofread for readability and ATS compatibility.

Before & After Example

Before:

Improved customer onboarding experience.

After (AI‑Optimized):

Engineered an AI‑driven onboarding chatbot that cut average setup time by 45% (from 22 min to 12 min) and increased first‑week retention by 18%.

Notice the four core elements: Engineered (verb), AI‑driven onboarding chatbot (context + AI keyword), 45% (metric), and increased first‑week retention by 18% (additional impact).


Checklist: Does Your Achievement Pass the AI Test?

  • Starts with a strong action verb.
  • Includes at least one quantifiable metric.
  • Provides context (tools, team, scope).
  • Contains AI‑relevant keywords matching the job description.
  • Is under 25 words to keep it scannable.
  • Avoids buzzword stuffing – use the Buzzword Detector to stay balanced.

If you tick all the boxes, you’re speaking the language AI systems understand.


Do’s and Don’ts

Do Don't
Do use specific numbers (e.g., $500K, +30%). Don’t use vague terms like significant or substantial without backing data.
Do mirror keywords from the job posting. Don’t copy‑paste the entire posting – keep it natural and achievement‑focused.
Do keep the bullet concise (15‑25 words). Don’t write long paragraphs; AI parsers truncate after the first 200 characters.
Do test with Resumly’s Resume Readability Test. Don’t rely solely on visual appeal; readability scores affect AI ranking.

Real‑World Scenarios

1. Software Engineer (AI Platform)

Original: "Worked on a recommendation engine." Rewritten:

Designed a collaborative‑filtering recommendation engine using TensorFlow that increased click‑through rate by 22% across 1.3 M monthly users.

2. Data Analyst (Marketing Analytics)

Original: "Analyzed campaign performance." Rewritten:

Automated campaign performance dashboards in Power BI, reducing reporting latency from 48 h to 2 h and uncovering a $1.4 M revenue uplift through predictive modeling.

3. Product Manager (AI‑Enabled SaaS)

Original: "Managed product roadmap." Rewritten:

Led a cross‑functional team of 8 to launch an AI‑powered feature that generated $3.2 M ARR within 6 months, achieving a 35% adoption rate among enterprise clients.

Each rewrite follows the best way to phrase achievements for AI systems by embedding metrics, context, and AI‑centric language.


Integrating Resumly Tools for Maximum Impact

Resumly’s suite is built to help you implement the strategies above without manual guesswork:

By feeding the best way to phrase achievements for AI systems into these tools, you can iterate quickly and see real‑time scoring improvements.


Mini‑Conclusion: Best Way to Phrase Achievements for AI Systems

The best way to phrase achievements for AI systems boils down to action‑verb + context + metric + AI keyword. Use the checklist, follow the step‑by‑step guide, and let Resumly’s AI tools verify your work. When you do, you’ll boost your ATS score, increase recruiter visibility, and ultimately land more interviews.


Frequently Asked Questions

1. How many numbers should I include per bullet?

Aim for one primary metric (e.g., revenue, time saved) and optionally a secondary supporting figure. Too many numbers can confuse the parser.

2. Can I use the same achievement on multiple resumes?

Yes, but tailor the AI‑relevant keywords to each job posting. Resumly’s Job‑Search Keywords tool makes this easy.

3. Do soft‑skill achievements matter to AI systems?

Soft skills are important for human readers, but AI parsers prioritize hard metrics. Pair a soft‑skill statement with a quantifiable outcome (e.g., Mentored 5 junior engineers, reducing onboarding time by 30%).

4. What if I don’t have exact numbers?

Use estimates with a qualifier (e.g., approximately, around). AI systems still recognize the pattern, and you can later replace with precise data.

5. How often should I refresh my achievement phrasing?

Review quarterly or whenever you complete a major project. Updating keeps your resume aligned with evolving AI keyword trends.

6. Are there industry‑specific verbs I should prioritize?

For AI roles, verbs like trained, fine‑tuned, deployed, scaled, automated resonate well. For product roles, consider roadmapped, prioritized, launched.

7. Will the length of my resume affect AI parsing?

Yes. Keep it to one page for early‑career professionals and two pages for senior roles. Excessive length can cause the parser to truncate lower sections.

8. How can I test my resume before sending it out?

Run it through Resumly’s ATS Resume Checker and the Resume Roast for AI‑focused feedback.


Final Thoughts & Call to Action

Mastering the best way to phrase achievements for AI systems is not a one‑time task—it’s an ongoing optimization process. Leverage the step‑by‑step guide, run each bullet through Resumly’s AI Resume Builder and ATS Checker, and keep your language fresh with the Buzzword Detector.

Ready to transform your resume into an AI‑magnet? Visit Resumly.ai today, try the free AI Career Clock, and let our platform do the heavy lifting while you focus on delivering results.


Sources

  1. Jobscan – How ATS Works
  2. LinkedIn Talent Insights – Resume Metrics
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